Serialized Form
-
Package com.github.javacliparser
-
Class com.github.javacliparser.AbstractClassOption extends AbstractOption implements Serializable
- serialVersionUID:
- 1L
-
Class com.github.javacliparser.AbstractOption extends Object implements Serializable
-
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
-
maxVal
double maxVal
-
minVal
double minVal
-
-
Class com.github.javacliparser.IntOption extends AbstractOption implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
currentVal
int currentVal
-
defaultVal
int defaultVal
-
maxVal
int maxVal
-
minVal
int minVal
-
-
Class com.github.javacliparser.JavaCLIParser extends Object implements Serializable
- serialVersionUID:
- 1L
-
Class com.github.javacliparser.ListOption extends AbstractOption implements Serializable
- serialVersionUID:
- 1L
-
Class com.github.javacliparser.MultiChoiceOption extends AbstractOption implements Serializable
- serialVersionUID:
- 1L
-
Class com.github.javacliparser.Options extends Object implements Serializable
- serialVersionUID:
- 1L
-
Class com.github.javacliparser.RangeOption extends StringOption implements Serializable
- serialVersionUID:
- 1L
-
Class com.github.javacliparser.StringOption extends AbstractOption implements Serializable
- serialVersionUID:
- 1L
-
-
Package com.github.javacliparser.gui
-
Class com.github.javacliparser.gui.ClassOptionEditComponent extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
changeListeners
HashSet<ChangeListener> changeListeners
listeners that listen to changes to the chosen option. -
editButton
JButton editButton
-
editedOption
ClassOption editedOption
-
midUpdate
boolean midUpdate
Flag that says the text field is in the middle of an update operation. This is to prevent two change notifications from going out when the update is implemented as a remove followed by an insert. -
textField
JTextField textField
-
-
Class com.github.javacliparser.gui.ClassOptionWithNamesEditComponent extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
changeListeners
HashSet<ChangeListener> changeListeners
listeners that listen to changes to the chosen option. -
editButton
JButton editButton
-
editedOption
ClassOptionWithNames editedOption
-
textField
JTextField textField
-
-
Class com.github.javacliparser.gui.FileOptionEditComponent extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
browseButton
JButton browseButton
-
editedOption
FileOption editedOption
-
textField
JTextField textField
-
-
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
-
slider
JSlider slider
-
spinner
JSpinner spinner
-
-
Class com.github.javacliparser.gui.IntOptionEditComponent extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
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
-
editComponents
List<OptionEditComponent> editComponents
-
helpButton
JButton helpButton
-
options
Options options
-
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
-
attributeValues
List<String> attributeValues
The attribute values. -
isDate
boolean isDate
The is date. -
isNominal
boolean isNominal
The is nominal. -
isNumeric
boolean isNumeric
The is numeric. -
m_DateFormat
SimpleDateFormat m_DateFormat
Date format specification for date attributes -
name
String name
The name. -
valuesStringAttribute
Map<String,Integer> valuesStringAttribute
The values string attribute.
-
-
-
Class com.yahoo.labs.samoa.instances.AttributesInformation extends Object implements Serializable
-
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
-
instanceData
InstanceData instanceData
The instance data. -
instanceHeader
InstancesHeader instanceHeader
The instance information. -
weight
double weight
The weight.
-
-
-
Class com.yahoo.labs.samoa.instances.InstanceInformation extends Object implements Serializable
-
Serialized Fields
-
attributesInformation
AttributesInformation attributesInformation
-
classIndex
int classIndex
The class index. -
range
Range range
Range for multi-label instances. -
relationName
String relationName
The dataset's name.
-
-
-
Class com.yahoo.labs.samoa.instances.Instances extends Object implements Serializable
- serialVersionUID:
- 8110510475535581577L
-
Serialized Fields
-
arff
ArffLoader arff
The arff. -
hsAttributesIndices
HashMap<String,Integer> hsAttributesIndices
A Hash that stores the indices of features. -
indicesIrrelevants
int[] indicesIrrelevants
Indices of irrelevant features. -
indicesRelevants
int[] indicesRelevants
Indices of relevant features. -
instanceInformation
InstanceInformation instanceInformation
The instance information. -
instances
List<Instance> instances
The instances.
-
-
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
-
end
int end
-
rangeText
String rangeText
-
start
int start
-
upperLimit
int upperLimit
-
-
-
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
-
classifierRandom
Random classifierRandom
Random Generator used in randomizable learners -
modelContext
InstancesHeader modelContext
Header of the instances of the data stream -
randomSeed
int randomSeed
Random seed used in randomizable learners -
randomSeedOption
IntOption randomSeedOption
Option for randomizable learners to change the random seed -
trainingWeightSeenByModel
double trainingWeightSeenByModel
Sum of the weights of the instances trained by this model
-
-
-
Class moa.classifiers.AbstractMultiLabelLearner extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.active
-
Class moa.classifiers.active.ALRandom extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
budgetManager
BudgetManager budgetManager
-
budgetManagerOption
ClassOption budgetManagerOption
-
classifier
Classifier classifier
-
-
Class moa.classifiers.active.ALUncertainty extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
accuracyBaseLearner
double accuracyBaseLearner
-
activeLearningStrategyOption
MultiChoiceOption activeLearningStrategyOption
-
baseLearnerOption
ClassOption baseLearnerOption
-
budgetOption
FloatOption budgetOption
-
classifier
Classifier classifier
-
costLabeling
int costLabeling
-
fixedThresholdOption
FloatOption fixedThresholdOption
-
iterationControl
int iterationControl
-
lastLabelAcq
int lastLabelAcq
-
maxPosterior
double maxPosterior
-
newThreshold
double newThreshold
-
numInstancesInitOption
FloatOption numInstancesInitOption
-
outPosterior
double outPosterior
-
stepOption
FloatOption stepOption
-
-
-
Package moa.classifiers.active.budget
-
Class moa.classifiers.active.budget.FixedBM extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
acquisitionReport
int acquisitionReport
-
budgetOption
FloatOption budgetOption
-
-
-
Package moa.classifiers.bayes
-
Class moa.classifiers.bayes.NaiveBayes extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<AttributeClassObserver> attributeObservers
-
observedClassDistribution
DoubleVector observedClassDistribution
-
-
Class moa.classifiers.bayes.NaiveBayesMultinomial extends AbstractClassifier implements Serializable
- serialVersionUID:
- -7204398796974263187L
-
Serialized Fields
-
laplaceCorrectionOption
FloatOption laplaceCorrectionOption
-
m_classTotals
double[] m_classTotals
sum of weight_of_instance * word_count_of_instance for each class -
m_headerInfo
Instances m_headerInfo
copy of header information for use in toString method -
m_numClasses
int m_numClasses
number of class values -
m_probOfClass
double[] m_probOfClass
the probability of a class (i.e. Pr[H]) -
m_wordTotalForClass
DoubleVector[] m_wordTotalForClass
probability that a word (w) exists in a class (H) (i.e. Pr[w|H]) The matrix is in the this format: m_wordTotalForClass[wordAttribute][class] -
reset
boolean reset
-
-
-
Package moa.classifiers.core
-
Class moa.classifiers.core.AttributeSplitSuggestion extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
merit
double merit
-
resultingClassDistributions
double[][] resultingClassDistributions
-
splitTest
InstanceConditionalTest splitTest
-
-
-
Package moa.classifiers.core.attributeclassobservers
-
Class moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
Class moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
classCountsLeft
DoubleVector classCountsLeft
-
classCountsRight
DoubleVector classCountsRight
-
cut_point
double cut_point
-
left
BinaryTreeNumericAttributeClassObserver.Node left
-
right
BinaryTreeNumericAttributeClassObserver.Node right
-
-
Class moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
Class moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cut_point
double cut_point
-
greaterThan
double[] greaterThan
-
left
BinaryTreeNumericAttributeClassObserverRegression.Node left
-
lessThan
double[] lessThan
-
right
BinaryTreeNumericAttributeClassObserverRegression.Node right
-
-
Class moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver extends BinaryTreeNumericAttributeClassObserver implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
countLeftTotal
double countLeftTotal
-
countRightTotal
double countRightTotal
-
root
FIMTDDNumericAttributeClassObserver.Node root
-
sumSqTotalLeft
double sumSqTotalLeft
-
sumSqTotalRight
double sumSqTotalRight
-
sumTotalLeft
double sumTotalLeft
-
sumTotalRight
double sumTotalRight
-
-
Class moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cut_point
double cut_point
-
left
FIMTDDNumericAttributeClassObserver.Node left
-
leftStatistics
DoubleVector leftStatistics
-
right
FIMTDDNumericAttributeClassObserver.Node right
-
rightStatistics
DoubleVector rightStatistics
-
-
Class moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attValDistPerClass
AutoExpandVector<GaussianEstimator> attValDistPerClass
-
maxValueObservedPerClass
DoubleVector maxValueObservedPerClass
-
minValueObservedPerClass
DoubleVector minValueObservedPerClass
-
numBinsOption
IntOption numBinsOption
-
-
Class moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attValDistPerClass
AutoExpandVector<GreenwaldKhannaQuantileSummary> attValDistPerClass
-
numTuplesOption
IntOption numTuplesOption
-
-
Class moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attValDistPerClass
AutoExpandVector<DoubleVector> attValDistPerClass
-
missingWeightObserved
double missingWeightObserved
-
totalWeightObserved
double totalWeightObserved
-
-
Class moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
binList
List<VFMLNumericAttributeClassObserver.Bin> binList
-
numBinsOption
IntOption numBinsOption
-
-
Class moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver.Bin extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
boundaryClass
int boundaryClass
-
boundaryWeight
double boundaryWeight
-
classWeights
DoubleVector classWeights
-
lowerBound
double lowerBound
-
upperBound
double upperBound
-
-
-
Package moa.classifiers.core.conditionaltests
-
Class moa.classifiers.core.conditionaltests.InstanceConditionalBinaryTest extends InstanceConditionalTest implements Serializable
-
Class moa.classifiers.core.conditionaltests.InstanceConditionalTest extends AbstractMOAObject implements Serializable
-
Class moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest extends InstanceConditionalBinaryTest implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attIndex
int attIndex
-
attValue
int attValue
-
-
Class moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest extends InstanceConditionalTest implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attIndex
int attIndex
-
-
Class moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest extends InstanceConditionalBinaryTest implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attIndex
int attIndex
-
attValue
double attValue
-
equalsPassesTest
boolean equalsPassesTest
-
-
-
Package moa.classifiers.core.driftdetection
-
Class moa.classifiers.core.driftdetection.AbstractChangeDetector extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
delay
double delay
Delay in detecting change -
estimation
double estimation
Prediction for the next value based in previous seen values -
isChangeDetected
boolean isChangeDetected
Change was detected -
isInitialized
boolean isInitialized
The change detector has been initialized with the option values -
isWarningZone
boolean isWarningZone
Warning Zone: after a warning and before a change
-
-
-
Class moa.classifiers.core.driftdetection.ADWIN extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
blnBucketDeleted
boolean blnBucketDeleted
-
BucketNumber
int BucketNumber
-
BucketNumberMAX
int BucketNumberMAX
-
Detect
int Detect
-
DetectTwice
int DetectTwice
-
lastBucketRow
int lastBucketRow
-
listRowBuckets
moa.classifiers.core.driftdetection.ADWIN.List listRowBuckets
-
mdbldelta
double mdbldelta
-
mdblWidth
double mdblWidth
-
mintClock
int mintClock
-
mintMinWinLength
int mintMinWinLength
-
mintTime
int mintTime
-
numberDetections
int numberDetections
-
TOTAL
double TOTAL
-
VARIANCE
double VARIANCE
-
WIDTH
int WIDTH
-
-
-
Class moa.classifiers.core.driftdetection.ADWINChangeDetector extends AbstractChangeDetector implements Serializable
-
Serialized Fields
-
adwin
ADWIN adwin
-
deltaAdwinOption
FloatOption deltaAdwinOption
-
-
-
Class moa.classifiers.core.driftdetection.CusumDM extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- -3518369648142099719L
-
Serialized Fields
-
alpha
double alpha
-
delta
double delta
-
deltaOption
FloatOption deltaOption
-
lambda
double lambda
-
lambdaOption
FloatOption lambdaOption
-
m_n
int m_n
-
minNumInstancesOption
IntOption minNumInstancesOption
-
sum
double sum
-
x_mean
double x_mean
-
-
Class moa.classifiers.core.driftdetection.DDM extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- -3518369648142099719L
-
Serialized Fields
-
m_n
int m_n
-
m_p
double m_p
-
m_pmin
double m_pmin
-
m_psmin
double m_psmin
-
m_s
double m_s
-
m_smin
double m_smin
-
minNumInstances
int minNumInstances
-
minNumInstancesOption
IntOption minNumInstancesOption
-
outcontrolLevel
double outcontrolLevel
-
outcontrolLevelOption
FloatOption outcontrolLevelOption
-
warningLevel
double warningLevel
-
warningLevelOption
FloatOption warningLevelOption
-
-
Class moa.classifiers.core.driftdetection.EDDM extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- 140980267062162000L
-
Serialized Fields
-
m_d
int m_d
-
m_lastd
int m_lastd
-
m_lastLevel
int m_lastLevel
-
m_m2smax
double m_m2smax
-
m_mean
double m_mean
-
m_minNumErrors
int m_minNumErrors
-
m_n
int m_n
-
m_numErrors
double m_numErrors
-
m_stdTemp
double m_stdTemp
-
-
Class moa.classifiers.core.driftdetection.EnsembleDriftDetectionMethods extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- -3518369648142099719L
-
Serialized Fields
-
cds
ChangeDetector[] cds
-
changeDetectorsOption
ListOption changeDetectorsOption
-
minNumInstancesOption
IntOption minNumInstancesOption
-
predictionOption
MultiChoiceOption predictionOption
-
preds
Boolean[] preds
-
-
Class moa.classifiers.core.driftdetection.EWMAChartDM extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- -3518369648142099719L
-
Serialized Fields
-
lambda
double lambda
-
lambdaOption
FloatOption lambdaOption
-
m_n
double m_n
-
m_p
double m_p
-
m_s
double m_s
-
m_sum
double m_sum
-
minNumInstancesOption
IntOption minNumInstancesOption
-
z_t
double z_t
-
-
Class moa.classifiers.core.driftdetection.GeometricMovingAverageDM extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- -3518369648142099719L
-
Serialized Fields
-
alpha
double alpha
-
alphaOption
FloatOption alphaOption
-
delta
double delta
-
lambda
double lambda
-
lambdaOption
FloatOption lambdaOption
-
m_n
double m_n
-
minNumInstancesOption
IntOption minNumInstancesOption
-
sum
double sum
-
x_mean
double x_mean
-
-
Class moa.classifiers.core.driftdetection.HDDM_A_Test extends AbstractChangeDetector implements Serializable
-
Serialized Fields
-
c_max
double c_max
-
c_min
double c_min
-
cEstimacion
double cEstimacion
-
driftConfidenceOption
FloatOption driftConfidenceOption
-
n_max
int n_max
-
n_min
int n_min
-
nEstimacion
int nEstimacion
-
oneSidedTestOption
MultiChoiceOption oneSidedTestOption
-
total_c
double total_c
-
total_n
int total_n
-
warningConfidenceOption
FloatOption warningConfidenceOption
-
-
-
Class moa.classifiers.core.driftdetection.HDDM_W_Test extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
decrCutPoint
double decrCutPoint
-
driftConfidence
double driftConfidence
-
driftConfidenceOption
FloatOption driftConfidenceOption
-
incrCutPoint
double incrCutPoint
-
lambda
double lambda
-
lambdaOption
FloatOption lambdaOption
-
oneSidedTest
boolean oneSidedTest
-
oneSidedTestOption
MultiChoiceOption oneSidedTestOption
-
warningConfidence
double warningConfidence
-
warningConfidenceOption
FloatOption warningConfidenceOption
-
width
int width
-
-
Class moa.classifiers.core.driftdetection.PageHinkleyDM extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- -3518369648142099719L
-
Serialized Fields
-
alpha
double alpha
-
alphaOption
FloatOption alphaOption
-
delta
double delta
-
deltaOption
FloatOption deltaOption
-
lambda
double lambda
-
lambdaOption
FloatOption lambdaOption
-
m_n
int m_n
-
minNumInstancesOption
IntOption minNumInstancesOption
-
sum
double sum
-
x_mean
double x_mean
-
-
Class moa.classifiers.core.driftdetection.RDDM extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- -489867468386968209L
-
Serialized Fields
-
driftLevel
double driftLevel
-
driftLevelOption
FloatOption driftLevelOption
-
firstPos
int firstPos
-
i
int i
-
instNum
int instNum
-
lastPos
int lastPos
-
lastWarnInst
int lastWarnInst
-
lastWarnPos
int lastWarnPos
-
m_n
int m_n
-
m_p
double m_p
-
m_pmin
double m_pmin
-
m_psmin
double m_psmin
-
m_s
double m_s
-
m_smin
double m_smin
-
maxSizeConcept
int maxSizeConcept
-
maxSizeConceptOption
IntOption maxSizeConceptOption
-
minNumInstances
int minNumInstances
-
minNumInstancesOption
IntOption minNumInstancesOption
-
minSizeStableConcept
int minSizeStableConcept
-
minSizeStableConceptOption
IntOption minSizeStableConceptOption
-
numStoredInstances
int numStoredInstances
-
pos
int pos
-
rddmDrift
boolean rddmDrift
-
storedPredictions
byte[] storedPredictions
-
warningLevel
double warningLevel
-
warningLevelOption
FloatOption warningLevelOption
-
warnLimit
int warnLimit
-
warnLimitOption
IntOption warnLimitOption
-
-
Class moa.classifiers.core.driftdetection.SEEDChangeDetector extends AbstractChangeDetector implements Serializable
-
Serialized Fields
-
alphaSEEDOption
FloatOption alphaSEEDOption
-
blockSizeSEEDOption
IntOption blockSizeSEEDOption
-
compressTermSEEDOption
IntOption compressTermSEEDOption
-
deltaSEEDOption
FloatOption deltaSEEDOption
-
epsilonPrimeSEEDOption
FloatOption epsilonPrimeSEEDOption
-
seed
SEEDChangeDetector.SEED seed
-
-
-
Class moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector extends AbstractChangeDetector implements Serializable
-
Serialized Fields
-
blockSeqDriftOption
IntOption blockSeqDriftOption
-
deltaOption
FloatOption deltaOption
-
deltaWarningOption
FloatOption deltaWarningOption
-
seqDrift1
SeqDrift1ChangeDetector.SeqDrift1 seqDrift1
-
-
-
Class moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector.SeqDrift1 extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
blockCount
int blockCount
-
blockSize
int blockSize
-
epsilon
moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector.Epsilon epsilon
-
instanceCount
int instanceCount
-
isWarning
boolean isWarning
-
leftRepository
SeqDrift2ChangeDetector.Repository leftRepository
-
leftRepositoryMean
double leftRepositoryMean
-
rightRepository
SeqDrift2ChangeDetector.Repository rightRepository
-
rightRepositoryMean
double rightRepositoryMean
-
sampleSize
int sampleSize
-
significanceLevel
double significanceLevel
-
slidingWindowBlockCount
int slidingWindowBlockCount
-
total
double total
-
uniqueRandomNumbers
ArrayList<Integer> uniqueRandomNumbers
-
variance
double variance
-
warningSignificanceLevel
double warningSignificanceLevel
-
-
-
Class moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector extends AbstractChangeDetector implements Serializable
-
Serialized Fields
-
blockSeqDrift2Option
IntOption blockSeqDrift2Option
-
deltaSeqDrift2Option
FloatOption deltaSeqDrift2Option
-
seqdrift
SeqDrift2ChangeDetector.SeqDrift2 seqdrift
-
-
-
Class moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.SeqDrift2 extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
blockSize
int blockSize
-
epsilon
double epsilon
-
instanceCount
int instanceCount
-
k
double k
-
leftReservoir
SeqDrift2ChangeDetector.Reservoir leftReservoir
-
leftReservoirMean
double leftReservoirMean
-
leftReservoirSize
int leftReservoirSize
-
rightRepository
SeqDrift2ChangeDetector.Reservoir rightRepository
-
rightRepositoryMean
double rightRepositoryMean
-
rightRepositorySize
int rightRepositorySize
-
significanceLevel
double significanceLevel
-
total
double total
-
variance
double variance
-
-
-
Class moa.classifiers.core.driftdetection.STEPD extends AbstractChangeDetector implements Serializable
- serialVersionUID:
- -3518369648142099719L
-
Serialized Fields
-
alphaDrift
double alphaDrift
-
alphaDriftOption
FloatOption alphaDriftOption
-
alphaWarning
double alphaWarning
-
alphaWarningOption
FloatOption alphaWarningOption
-
firstPos
int firstPos
-
lastPos
int lastPos
-
no
int no
-
nr
int nr
-
p
double p
-
ro
double ro
-
rr
double rr
-
sizeInvertedSum
double sizeInvertedSum
-
storedPredictions
byte[] storedPredictions
-
windowSize
int windowSize
-
windowSizeOption
IntOption windowSizeOption
-
wo
double wo
-
wr
double wr
-
Z
double Z
-
-
-
Package moa.classifiers.core.splitcriteria
-
Class moa.classifiers.core.splitcriteria.GiniSplitCriterion extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.core.splitcriteria.InfoGainSplitCriterion extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
minBranchFracOption
FloatOption minBranchFracOption
-
-
Class moa.classifiers.core.splitcriteria.InfoGainSplitCriterionMultilabel extends InfoGainSplitCriterion implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.core.splitcriteria.SDRSplitCriterion extends VarianceReductionSplitCriterion implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.core.splitcriteria.VarianceReductionSplitCriterion extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.core.statisticaltests
-
Class moa.classifiers.core.statisticaltests.Cramer extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
confidenceLevelOption
FloatOption confidenceLevelOption
-
kernelOption
MultiChoiceOption kernelOption
-
kOption
IntOption kOption
-
maxMOption
FloatOption maxMOption
-
replicatesOption
IntOption replicatesOption
-
sample1i
List<Instance> sample1i
-
sample2i
List<Instance> sample2i
-
-
-
Class moa.classifiers.core.statisticaltests.KNN extends AbstractOptionHandler implements Serializable
-
-
Package moa.classifiers.deeplearning
-
Class moa.classifiers.deeplearning.CAND extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
accEstimator
ADWIN accEstimator
-
avgMLPsPerSampleFrequency
long avgMLPsPerSampleFrequency
-
backPropLossThreshold
FloatOption backPropLossThreshold
-
class_value
double[] class_value
-
deviceTypeOption
MultiChoiceOption deviceTypeOption
-
djlRandomSeed
IntOption djlRandomSeed
-
doNotTrainEachMLPUsingASeparateThread
FlagOption doNotTrainEachMLPUsingASeparateThread
-
driftsDetectedPerSampleFrequency
long driftsDetectedPerSampleFrequency
-
exService
ExecutorService exService
-
featureValues
double[] featureValues
-
featureValuesArraySize
int featureValuesArraySize
-
largerPool
MultiChoiceOption largerPool
-
lastGetModelMeasurementsImplCalledAt
long lastGetModelMeasurementsImplCalledAt
-
miniBatch
moa.classifiers.deeplearning.MiniBatch miniBatch
-
miniBatchSize
IntOption miniBatchSize
-
nn
MLP[] nn
-
normalizeInfo
MLP.NormalizeInfo[] normalizeInfo
-
numberOfInstancesToTrainAllMLPsAtStartOption
IntOption numberOfInstancesToTrainAllMLPsAtStartOption
-
numberOfLayersInEachMLP
IntOption numberOfLayersInEachMLP
-
numberOfMLPsToTrainOption
IntOption numberOfMLPsToTrainOption
-
performanceEvaluator
BasicClassificationPerformanceEvaluator performanceEvaluator
-
samplesSeen
long samplesSeen
-
statsDumpFile
FileWriter statsDumpFile
-
statsDumpFileName
StringOption statsDumpFileName
-
totalDriftsDetected
long totalDriftsDetected
-
useNormalization
FlagOption useNormalization
-
useOneHotEncode
FlagOption useOneHotEncode
-
votesDumpFile
FileWriter votesDumpFile
-
votesDumpFileName
StringOption votesDumpFileName
-
-
Class moa.classifiers.deeplearning.MLP extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
backPropLossThreshold
FloatOption backPropLossThreshold
-
deltaForADWIN
double deltaForADWIN
-
deviceTypeOption
MultiChoiceOption deviceTypeOption
-
djlRandomSeed
IntOption djlRandomSeed
-
featureValuesArraySize
int featureValuesArraySize
-
gpuCount
int gpuCount
-
learningRateOption
FloatOption learningRateOption
-
lossEstimator
ADWIN lossEstimator
-
miniBatch
moa.classifiers.deeplearning.MiniBatch miniBatch
-
miniBatchSize
IntOption miniBatchSize
-
modelName
String modelName
-
nnmodel
ai.djl.Model nnmodel
-
normalizeInfo
MLP.NormalizeInfo[] normalizeInfo
-
numberOfClasses
int numberOfClasses
-
numberOfLayers
IntOption numberOfLayers
-
numberOfNeuronsInEachLayerInLog2
IntOption numberOfNeuronsInEachLayerInLog2
-
optimizerTypeOption
MultiChoiceOption optimizerTypeOption
-
pClassValue
double[] pClassValue
-
pFeatureValues
double[] pFeatureValues
-
samplesSeen
long samplesSeen
-
trainedCount
long trainedCount
-
trainer
ai.djl.training.Trainer trainer
-
useNormalization
FlagOption useNormalization
-
useOneHotEncode
FlagOption useOneHotEncode
-
votes
double[] votes
-
-
-
Package moa.classifiers.drift
-
Class moa.classifiers.drift.DriftDetectionMethodClassifier extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
changeDetected
int changeDetected
-
classifier
Classifier classifier
-
ddmLevel
int ddmLevel
-
driftDetectionMethod
ChangeDetector driftDetectionMethod
-
driftDetectionMethodOption
ClassOption driftDetectionMethodOption
-
newclassifier
Classifier newclassifier
-
newClassifierReset
boolean newClassifierReset
-
warningDetected
int warningDetected
-
-
Class moa.classifiers.drift.SingleClassifierDrift extends DriftDetectionMethodClassifier implements Serializable
-
-
Package moa.classifiers.functions
-
Class moa.classifiers.functions.AdaGrad extends SGD implements Serializable
- serialVersionUID:
- -3732968666673530291L
-
Serialized Fields
-
epsilonOption
FloatOption epsilonOption
-
m_biasVelocity
double m_biasVelocity
-
m_epsilon
double m_epsilon
The epsilon value -
m_velocity
DoubleVector m_velocity
Stores the weights (+ bias in the last element)
-
-
Class moa.classifiers.functions.MajorityClass extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
observedClassDistribution
DoubleVector observedClassDistribution
-
-
Class moa.classifiers.functions.NoChange extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
lastSeenClass
double lastSeenClass
-
-
Class moa.classifiers.functions.Perceptron extends AbstractClassifier implements Serializable
- serialVersionUID:
- 221L
-
Serialized Fields
-
learningRatioOption
FloatOption learningRatioOption
-
numberAttributes
int numberAttributes
-
numberClasses
int numberClasses
-
numberDetections
int numberDetections
-
reset
boolean reset
-
weightAttribute
double[][] weightAttribute
-
-
Class moa.classifiers.functions.SGD extends AbstractClassifier implements Serializable
- serialVersionUID:
- -3732968666673530290L
-
Serialized Fields
-
lambdaRegularizationOption
FloatOption lambdaRegularizationOption
-
learningRateOption
FloatOption learningRateOption
-
lossFunctionOption
MultiChoiceOption lossFunctionOption
-
m_bias
double m_bias
-
m_lambda
double m_lambda
The regularization parameter -
m_learningRate
double m_learningRate
The learning rate -
m_loss
int m_loss
The current loss function to minimize -
m_numInstances
double m_numInstances
The number of training instances -
m_t
double m_t
Holds the current iteration number -
m_weights
DoubleVector m_weights
Stores the weights (+ bias in the last element)
-
-
Class moa.classifiers.functions.SGDMultiClass extends AbstractClassifier implements Serializable
- serialVersionUID:
- -3732968666673530290L
-
Serialized Fields
-
lambdaRegularizationOption
FloatOption lambdaRegularizationOption
-
learningRateOption
FloatOption learningRateOption
-
lossFunctionOption
MultiChoiceOption lossFunctionOption
-
m_bias
double[] m_bias
-
m_lambda
double m_lambda
The regularization parameter -
m_learningRate
double m_learningRate
The learning rate -
m_loss
int m_loss
The current loss function to minimize -
m_numInstances
double m_numInstances
The number of training instances -
m_t
double m_t
Holds the current iteration number -
m_weights
DoubleVector[] m_weights
Stores the weights (+ bias in the last element)
-
-
Class moa.classifiers.functions.SPegasos extends AbstractClassifier implements Serializable
- serialVersionUID:
- -3732968666673530290L
-
Serialized Fields
-
lambdaRegularizationOption
FloatOption lambdaRegularizationOption
-
lossFunctionOption
MultiChoiceOption lossFunctionOption
-
m_lambda
double m_lambda
The regularization parameter -
m_loss
int m_loss
The current loss function to minimize -
m_t
double m_t
Holds the current iteration number -
m_weights
double[] m_weights
Stores the weights (+ bias in the last element)
-
-
-
Package moa.classifiers.lazy
-
Class moa.classifiers.lazy.kNN extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
C
int C
-
kOption
IntOption kOption
-
limitOption
IntOption limitOption
-
medianOption
FlagOption medianOption
-
nearestNeighbourSearchOption
MultiChoiceOption nearestNeighbourSearchOption
-
window
Instances window
-
-
Class moa.classifiers.lazy.kNNwithPAW extends kNN implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
marker
int marker
-
prob
double prob
-
-
Class moa.classifiers.lazy.kNNwithPAWandADWIN extends kNN implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.lazy.SAMkNN extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cmHistory
List<Integer> cmHistory
-
distanceMatrixSTM
double[][] distanceMatrixSTM
-
kOption
IntOption kOption
-
limitOption
IntOption limitOption
-
ltm
Instances ltm
-
ltmHistory
List<Integer> ltmHistory
-
maxClassValue
int maxClassValue
-
maxLTMSize
int maxLTMSize
-
maxSTMSize
int maxSTMSize
-
minSTMSizeOption
IntOption minSTMSizeOption
-
predictionHistories
Map<Integer,List<Integer>> predictionHistories
-
random
Random random
-
recalculateSTMErrorOption
FlagOption recalculateSTMErrorOption
-
relativeLTMSizeOption
FloatOption relativeLTMSizeOption
-
stm
Instances stm
-
stmHistory
List<Integer> stmHistory
-
-
-
Package moa.classifiers.lazy.neighboursearch
-
Class moa.classifiers.lazy.neighboursearch.KDTree extends NearestNeighbourSearch implements Serializable
- serialVersionUID:
- 1505717283763272533L
-
Serialized Fields
-
m_DistanceList
double[] m_DistanceList
Array holding the distances of the nearest neighbours. It is filled up both by nearestNeighbour() and kNearestNeighbours(). -
m_EuclideanDistance
EuclideanDistance m_EuclideanDistance
The euclidean distance function to use. -
m_InstList
int[] m_InstList
Indexlist of the instances of this kdtree. Instances get sorted according to the splits. the nodes of the KDTree just hold their start and end indices -
m_MaxDepth
int m_MaxDepth
Tree stats. -
m_MaxInstInLeaf
int m_MaxInstInLeaf
maximal number of instances in a leaf. -
m_MinBoxRelWidth
double m_MinBoxRelWidth
minimal relative width of a KDTree rectangle. -
m_NormalizeNodeWidth
boolean m_NormalizeNodeWidth
flag for normalizing. -
m_NumLeaves
int m_NumLeaves
Tree stats. -
m_NumNodes
int m_NumNodes
Tree stats. -
m_Root
KDTreeNode m_Root
The root node of the tree. -
m_Splitter
KDTreeNodeSplitter m_Splitter
The node splitter.
-
-
Class moa.classifiers.lazy.neighboursearch.LinearNNSearch extends NearestNeighbourSearch implements Serializable
- serialVersionUID:
- 1915484723703917241L
-
Serialized Fields
-
m_Distances
double[] m_Distances
Array holding the distances of the nearest neighbours. It is filled up both by nearestNeighbour() and kNearestNeighbours(). -
m_SkipIdentical
boolean m_SkipIdentical
Whether to skip instances from the neighbours that are identical to the query instance.
-
-
Class moa.classifiers.lazy.neighboursearch.NearestNeighbourSearch extends Object implements Serializable
-
Serialized Fields
-
m_DistanceFunction
DistanceFunction m_DistanceFunction
the distance function used. -
m_Instances
Instances m_Instances
The neighbourhood of instances to find neighbours in. -
m_kNN
int m_kNN
The number of neighbours to find. -
m_MeasurePerformance
boolean m_MeasurePerformance
Should we measure Performance.
-
-
-
-
Package moa.classifiers.lazy.neighboursearch.kdtrees
-
Class moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNode extends Object implements Serializable
- serialVersionUID:
- -3660396067582792648L
-
Serialized Fields
-
m_End
int m_End
The end index of the portion of the master index array, which stores indices of the instances/points the node contains. -
m_Left
KDTreeNode m_Left
left subtree; contains instances with smaller or equal to split value. -
m_NodeNumber
int m_NodeNumber
node number (only for debug). -
m_NodeRanges
double[][] m_NodeRanges
lowest and highest value and width (= high - low) for each dimension. -
m_NodesRectBounds
double[][] m_NodesRectBounds
The lo and high bounds of the hyper rectangle described by the node. -
m_Right
KDTreeNode m_Right
right subtree; contains instances with larger than split value. -
m_SplitDim
int m_SplitDim
attribute to split on. -
m_SplitValue
double m_SplitValue
value to split on. -
m_Start
int m_Start
The start index of the portion of the master index array, which stores the indices of the instances/points the node contains.
-
-
Class moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNodeSplitter extends Object implements Serializable
-
Serialized Fields
-
m_EuclideanDistance
EuclideanDistance m_EuclideanDistance
The distance function used for building the tree. -
m_Instances
Instances m_Instances
The instances that'll be used for tree construction. -
m_InstList
int[] m_InstList
The master index array that'll be reshuffled as nodes are split and the tree is constructed. -
m_NormalizeNodeWidth
boolean m_NormalizeNodeWidth
Stores whether if the width of a KDTree node is normalized or not.
-
-
-
Class moa.classifiers.lazy.neighboursearch.kdtrees.KMeansInpiredMethod extends KDTreeNodeSplitter implements Serializable
- serialVersionUID:
- -866783749124714304L
-
Class moa.classifiers.lazy.neighboursearch.kdtrees.MedianOfWidestDimension extends KDTreeNodeSplitter implements Serializable
- serialVersionUID:
- 1383443320160540663L
-
Class moa.classifiers.lazy.neighboursearch.kdtrees.MidPointOfWidestDimension extends KDTreeNodeSplitter implements Serializable
- serialVersionUID:
- -7617277960046591906L
-
Class moa.classifiers.lazy.neighboursearch.kdtrees.SlidingMidPointOfWidestSide extends KDTreeNodeSplitter implements Serializable
- serialVersionUID:
- 852857628205680562L
-
-
Package moa.classifiers.meta
-
Class moa.classifiers.meta.AccuracyUpdatedEnsemble extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
candidate
Classifier candidate
Candidate classifier. -
chunkSizeOption
IntOption chunkSizeOption
Chunk size. -
classDistributions
long[] classDistributions
Class distributions. -
currentChunk
Instances currentChunk
Current chunk of instances. -
learnerOption
ClassOption learnerOption
Type of classifier to use as a component classifier. -
learners
Classifier[] learners
Ensemble classifiers. -
maxByteSizeOption
IntOption maxByteSizeOption
Determines the maximum size of model (evaluated after every chunk). In effect only for HoeffdingTree-based component classifiers. -
memberCountOption
IntOption memberCountOption
Number of component classifiers. -
processedInstances
int processedInstances
Number of processed examples. -
weights
double[][] weights
The weights of stored classifiers. weights[x][0] = weight weights[x][1] = classifier number in learners
-
-
Class moa.classifiers.meta.AccuracyWeightedEnsemble extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
candidateClassifier
Classifier candidateClassifier
-
chunkSize
int chunkSize
-
chunkSizeOption
IntOption chunkSizeOption
Chunk size. -
classDistributions
long[] classDistributions
-
currentChunk
Instances currentChunk
-
ensemble
Classifier[] ensemble
-
ensembleWeights
double[] ensembleWeights
-
learnerOption
ClassOption learnerOption
Type of classifier to use as a component classifier. -
maxMemberCount
int maxMemberCount
-
maxStoredCount
int maxStoredCount
-
memberCountOption
FloatOption memberCountOption
Number of component classifiers. -
numFolds
int numFolds
-
numFoldsOption
IntOption numFoldsOption
Number of folds in candidate classifier cross-validation. -
processedInstances
int processedInstances
-
storedCountOption
FloatOption storedCountOption
Number of classifiers remembered and available for ensemble construction. -
storedLearners
Classifier[] storedLearners
-
storedWeights
double[][] storedWeights
The weights of stored classifiers. storedWeights[x][0] = weight storedWeights[x][1] = classifier
-
-
Class moa.classifiers.meta.ADACC extends DACC implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
addedPermanent
int addedPermanent
Number of added snapshots -
equivIndexSizeOption
FloatOption equivIndexSizeOption
Threshold for concept equivalence -
index
double index
Current stability index -
recentChunk
Instances recentChunk
Last chunk of data of size (tau_size) to compute the stability index -
stabIndexSizeOption
FloatOption stabIndexSizeOption
Threshold for the stability index -
tau_size
int tau_size
Size of the evaluation window to compute the stability index -
tauSizeOption
IntOption tauSizeOption
Evaluation window for the stability index computation -
theta_diff
double theta_diff
Threshold values for the stability index and concept equivalence -
theta_stab
double theta_stab
Threshold values for the stability index and concept equivalence
-
-
Class moa.classifiers.meta.AdaptiveRandomForest extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
disableBackgroundLearnerOption
FlagOption disableBackgroundLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
disableWeightedVote
FlagOption disableWeightedVote
-
driftDetectionMethodOption
ClassOption driftDetectionMethodOption
-
ensemble
AdaptiveRandomForest.ARFBaseLearner[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
evaluator
BasicClassificationPerformanceEvaluator evaluator
-
executor
ExecutorService executor
-
instancesSeen
long instancesSeen
-
lambdaOption
FloatOption lambdaOption
-
mFeaturesModeOption
MultiChoiceOption mFeaturesModeOption
-
mFeaturesPerTreeSizeOption
IntOption mFeaturesPerTreeSizeOption
-
numberOfJobsOption
IntOption numberOfJobsOption
-
subspaceSize
int subspaceSize
-
treeLearnerOption
ClassOption treeLearnerOption
-
warningDetectionMethodOption
ClassOption warningDetectionMethodOption
-
-
Class moa.classifiers.meta.AdaptiveRandomForest.ARFBaseLearner extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
bkgLearner
AdaptiveRandomForest.ARFBaseLearner bkgLearner
-
classifier
ARFHoeffdingTree classifier
-
createdOn
long createdOn
-
driftDetectionMethod
ChangeDetector driftDetectionMethod
-
driftOption
ClassOption driftOption
-
evaluator
BasicClassificationPerformanceEvaluator evaluator
-
indexOriginal
int indexOriginal
-
isBackgroundLearner
boolean isBackgroundLearner
-
lastDriftOn
long lastDriftOn
-
lastWarningOn
long lastWarningOn
-
numberOfDriftsDetected
int numberOfDriftsDetected
-
numberOfWarningsDetected
int numberOfWarningsDetected
-
useBkgLearner
boolean useBkgLearner
-
useDriftDetector
boolean useDriftDetector
-
warningDetectionMethod
ChangeDetector warningDetectionMethod
-
warningOption
ClassOption warningOption
-
-
-
Class moa.classifiers.meta.AdaptiveRandomForestRegressor extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
disableBackgroundLearnerOption
FlagOption disableBackgroundLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetectionMethodOption
ClassOption driftDetectionMethodOption
-
ensemble
AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
evaluator
BasicRegressionPerformanceEvaluator evaluator
-
instancesSeen
long instancesSeen
-
lambdaOption
FloatOption lambdaOption
-
mFeaturesModeOption
MultiChoiceOption mFeaturesModeOption
-
mFeaturesPerTreeSizeOption
IntOption mFeaturesPerTreeSizeOption
-
subspaceSize
int subspaceSize
-
treeLearnerOption
ClassOption treeLearnerOption
-
warningDetectionMethodOption
ClassOption warningDetectionMethodOption
-
-
Class moa.classifiers.meta.AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
bkgLearner
AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner bkgLearner
-
classifier
ARFFIMTDD classifier
-
createdOn
long createdOn
-
driftDetectionMethod
ChangeDetector driftDetectionMethod
-
driftOption
ClassOption driftOption
-
evaluator
BasicRegressionPerformanceEvaluator evaluator
-
indexOriginal
int indexOriginal
-
isBackgroundLearner
boolean isBackgroundLearner
-
lastDriftOn
long lastDriftOn
-
lastWarningOn
long lastWarningOn
-
numberOfDriftsDetected
int numberOfDriftsDetected
-
numberOfWarningsDetected
int numberOfWarningsDetected
-
useBkgLearner
boolean useBkgLearner
-
useDriftDetector
boolean useDriftDetector
-
warningDetectionMethod
ChangeDetector warningDetectionMethod
-
warningOption
ClassOption warningOption
-
-
-
Class moa.classifiers.meta.ADOB extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
orderPosition
int[] orderPosition
-
pureBoostOption
FlagOption pureBoostOption
-
scms
double[] scms
-
swms
double[] swms
-
-
Class moa.classifiers.meta.BOLE extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
Bm
double Bm
-
breakVotesOption
FlagOption breakVotesOption
-
correct
boolean correct
-
em
double em
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
errorBoundOption
FloatOption errorBoundOption
-
i
int i
-
j
int j
-
k
double k
-
key_acc
double key_acc
-
key_position
int key_position
-
lambda_d
double lambda_d
-
maxAcc
int maxAcc
-
memberWeight
double memberWeight
-
minAcc
int minAcc
-
okay
boolean okay
-
orderPosition
int[] orderPosition
-
pos
int pos
-
pureBoostOption
FlagOption pureBoostOption
-
scms
double[] scms
-
swms
double[] swms
-
weightShiftOption
FloatOption weightShiftOption
-
-
Class moa.classifiers.meta.DACC extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
combinationOption
MultiChoiceOption combinationOption
Combination functions: MAX and WVD (MAX leads to a faster reactivity to the change, WVD is more robust to noise) -
ensemble
Classifier[] ensemble
Ensemble of classifiers -
ensembleAges
double[] ensembleAges
Age of classifiers (to compare with maturity age) -
ensembleWeights
DACC.Pair[] ensembleWeights
Weights of classifiers -
ensembleWindows
int[][] ensembleWindows
Evaluation windows (recent classification errors) -
evaluationSizeOption
FloatOption evaluationSizeOption
Size of the evaluation window for weights computing -
learnerOption
ClassOption learnerOption
Base classifier -
maturityOption
FloatOption maturityOption
Maturity age of classifiers -
memberCountOption
FloatOption memberCountOption
Ensemble size -
nbInstances
int nbInstances
Number of instances from the stream
-
-
Class moa.classifiers.meta.DACC.Pair extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
index
int index
-
val
double val
-
-
Class moa.classifiers.meta.DynamicWeightedMajority extends AbstractClassifier implements Serializable
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
betaOption
FloatOption betaOption
-
epochs
long epochs
-
experts
List<Classifier> experts
-
maxExpertsOption
IntOption maxExpertsOption
-
periodOption
IntOption periodOption
-
thetaOption
FloatOption thetaOption
-
weights
List<Double> weights
-
-
-
Class moa.classifiers.meta.HeterogeneousEnsembleAbstract extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
activeClassifiersOption
IntOption activeClassifiersOption
-
baselearnersOption
ListOption baselearnersOption
-
ensemble
Classifier[] ensemble
-
gracePerionOption
IntOption gracePerionOption
-
historyTotal
double[] historyTotal
-
instancesSeen
Integer instancesSeen
-
topK
List<Integer> topK
-
weightClassifiersOption
FlagOption weightClassifiersOption
-
-
Class moa.classifiers.meta.HeterogeneousEnsembleBlast extends HeterogeneousEnsembleAbstract implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
onlineHistory
boolean[][] onlineHistory
-
windowSizeOption
IntOption windowSizeOption
-
-
Class moa.classifiers.meta.HeterogeneousEnsembleBlastFadingFactors extends HeterogeneousEnsembleAbstract implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
trainingErrors
int trainingErrors
-
-
Class moa.classifiers.meta.LearnNSE extends AbstractClassifier implements Serializable
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
bkts
List<ArrayList<Double>> bkts
-
buffer
Instances buffer
-
crossingPoint
double crossingPoint
-
ensemble
List<Classifier> ensemble
-
ensembleSize
int ensembleSize
-
ensembleSizeOption
IntOption ensembleSizeOption
-
ensembleWeights
List<Double> ensembleWeights
-
index
long index
-
periodOption
IntOption periodOption
-
pruning
int pruning
-
pruningStrategyOption
MultiChoiceOption pruningStrategyOption
-
sigmoidCrossingPointOption
FloatOption sigmoidCrossingPointOption
-
sigmoidSlopeOption
FloatOption sigmoidSlopeOption
-
slope
double slope
-
wkts
List<ArrayList<Double>> wkts
-
-
-
Class moa.classifiers.meta.LeveragingBag extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
ADError
ADWIN[] ADError
-
baseLearnerOption
ClassOption baseLearnerOption
-
deltaAdwinOption
FloatOption deltaAdwinOption
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
initMatrixCodes
boolean initMatrixCodes
-
leveraginBagAlgorithmOption
MultiChoiceOption leveraginBagAlgorithmOption
-
matrixCodes
int[][] matrixCodes
-
numberOfChangesDetected
int numberOfChangesDetected
-
outputCodesOption
FlagOption outputCodesOption
-
weightShrinkOption
FloatOption weightShrinkOption
-
-
Class moa.classifiers.meta.LimAttClassifier extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
ADError
ADWIN[] ADError
-
adwinReplaceWorstClassifierOption
FlagOption adwinReplaceWorstClassifierOption
-
baseLearnerOption
ClassOption baseLearnerOption
-
bigTreesOption
FlagOption bigTreesOption
-
deltaAdwinOption
FloatOption deltaAdwinOption
-
ensemble
Classifier[] ensemble
-
initClassifiers
boolean initClassifiers
-
initialNumInstancesOption
IntOption initialNumInstancesOption
-
initMatrixCodes
boolean initMatrixCodes
-
learningRatioOption
FloatOption learningRatioOption
-
matrixCodes
int[][] matrixCodes
-
numAttributesOption
IntOption numAttributesOption
-
numberAttributes
int numberAttributes
-
numberOfChangesDetected
int numberOfChangesDetected
-
numEnsemblePruningOption
IntOption numEnsemblePruningOption
-
numInstances
int numInstances
-
oddsOffsetOption
FloatOption oddsOffsetOption
-
penaltyFactorOption
FloatOption penaltyFactorOption
-
pruneOption
FlagOption pruneOption
-
reset
boolean reset
-
weightAttribute
double[][] weightAttribute
-
weightShrinkOption
FloatOption weightShrinkOption
-
-
Class moa.classifiers.meta.MLCviaMTR extends AbstractMultiLabelLearner implements Serializable
-
Serialized Fields
-
header
InstancesHeader header
-
learner
MultiTargetRegressor learner
-
regressorOption
ClassOption regressorOption
-
-
-
Class moa.classifiers.meta.OCBoost extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alpha
double[] alpha
-
alphainc
double[] alphainc
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
pineg
double[] pineg
-
pipos
double[] pipos
-
smoothingOption
FloatOption smoothingOption
-
wneg
double[][] wneg
-
wpos
double[][] wpos
-
-
Class moa.classifiers.meta.OnlineAccuracyUpdatedEnsemble extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
candidate
OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory candidate
Candidate classifier. -
classDistributions
long[] classDistributions
Class distributions. -
currentWindow
int[] currentWindow
Current window of instance class values. -
ensemble
OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory[] ensemble
Ensemble classifiers. -
learnerOption
ClassOption learnerOption
Type of classifier to use as a component classifier. -
linearOption
FlagOption linearOption
Determines whether additional information should be sent to the output. -
maxByteSizeOption
IntOption maxByteSizeOption
Determines the maximum size of model (evaluated after every chunk). -
memberCountOption
IntOption memberCountOption
Number of component classifiers. -
mse_r
double mse_r
The mean square residual in a given moment, based on a window of latest examples. -
processedInstances
int processedInstances
Number of processed examples. -
verboseOption
FlagOption verboseOption
Determines whether additional information should be sent to the output. -
weights
double[][] weights
The weights of stored classifiers. weights[x][0] = weight weights[x][1] = classifier number in learners -
windowSize
int windowSize
Window size. -
windowSizeOption
FloatOption windowSizeOption
Chunk size.
-
-
Class moa.classifiers.meta.OnlineSmoothBoost extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alpha
double[] alpha
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
gamma
double gamma
-
gammaOption
FloatOption gammaOption
-
theta
double theta
-
-
Class moa.classifiers.meta.OzaBag extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
-
Class moa.classifiers.meta.OzaBagAdwin extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
ADError
ADWIN[] ADError
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
-
Class moa.classifiers.meta.OzaBagASHT extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alpha
double alpha
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
ASHoeffdingTree[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
error
double[] error
-
firstClassifierSizeOption
IntOption firstClassifierSizeOption
-
resetTreesOption
FlagOption resetTreesOption
-
useWeightOption
FlagOption useWeightOption
-
-
Class moa.classifiers.meta.OzaBoost extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
pureBoostOption
FlagOption pureBoostOption
-
scms
double[] scms
-
swms
double[] swms
-
-
Class moa.classifiers.meta.OzaBoostAdwin extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
ADError
ADWIN[] ADError
-
baseLearnerOption
ClassOption baseLearnerOption
-
deltaAdwinOption
FloatOption deltaAdwinOption
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
initKm1
boolean initKm1
-
initMatrixCodes
boolean initMatrixCodes
-
Km1
int Km1
-
logKm1
double logKm1
-
matrixCodes
int[][] matrixCodes
-
numberOfChangesDetected
int numberOfChangesDetected
-
outputCodesOption
FlagOption outputCodesOption
-
pureBoostOption
FlagOption pureBoostOption
-
sammeOption
FlagOption sammeOption
-
scms
double[] scms
-
swms
double[] swms
-
-
Class moa.classifiers.meta.PairedLearners extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
c
int[] c
-
changeDetected
int changeDetected
-
i
int i
-
instances
Instance[] instances
-
numberOfErrors
int numberOfErrors
-
reactiveLearner
Classifier reactiveLearner
-
reactiveLearnerOption
ClassOption reactiveLearnerOption
-
stableLearner
Classifier stableLearner
-
stableLearnerOption
ClassOption stableLearnerOption
-
t
int t
-
theta
int theta
-
thresholdOption
FloatOption thresholdOption
-
w
int w
-
windowSizeOption
IntOption windowSizeOption
-
-
Class moa.classifiers.meta.RandomRules extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
dataset
InstancesHeader[] dataset
-
ensemble
Classifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
isRegression
boolean isRegression
-
listAttributes
int[][] listAttributes
-
numAttributes
int numAttributes
-
numAttributesPercentageOption
FloatOption numAttributesPercentageOption
-
useBaggingOption
FlagOption useBaggingOption
-
VerbosityOption
IntOption VerbosityOption
-
-
Class moa.classifiers.meta.RCD extends SingleClassifierDrift implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
bufferSize
int bufferSize
-
bufferSizeOption
IntOption bufferSizeOption
-
classifiers
List<moa.classifiers.meta.RCD.ClassifierKS> classifiers
-
classifiersSizeOption
IntOption classifiersSizeOption
-
currentChunk
List<Instance> currentChunk
-
currentChunk2
List<Instance> currentChunk2
-
index
int index
-
previousState
int previousState
-
quantityClassifiersTestOption
IntOption quantityClassifiersTestOption
-
similarityBetweenDistributionsOption
FloatOption similarityBetweenDistributionsOption
-
statisticalTestOption
ClassOption statisticalTestOption
-
testChunk
List<Instance> testChunk
-
testFrequencyOption
IntOption testFrequencyOption
-
threadSizeOption
IntOption threadSizeOption
-
-
Class moa.classifiers.meta.SelfOptimisingKNearestLeaves extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
disableBackgroundLearnerOption
FlagOption disableBackgroundLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetectionMethodOption
ClassOption driftDetectionMethodOption
-
ensemble
SelfOptimisingKNearestLeaves.SelfOptimisingKNearestLeavesBaseLearner[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
evaluator
BasicRegressionPerformanceEvaluator evaluator
-
instancesSeen
long instancesSeen
-
kOption
IntOption kOption
-
lambdaOption
FloatOption lambdaOption
-
mFeaturesModeOption
MultiChoiceOption mFeaturesModeOption
-
mFeaturesPerTreeSizeOption
IntOption mFeaturesPerTreeSizeOption
-
previousPrediction
double[] previousPrediction
-
randomSeedOption
IntOption randomSeedOption
-
selfOptimisingEvaluators
BasicRegressionPerformanceEvaluator[] selfOptimisingEvaluators
-
selfOptimisingOption
FlagOption selfOptimisingOption
-
subspaceSize
int subspaceSize
-
treeLearnerOption
ClassOption treeLearnerOption
-
warningDetectionMethodOption
ClassOption warningDetectionMethodOption
-
-
Class moa.classifiers.meta.SelfOptimisingKNearestLeaves.SelfOptimisingKNearestLeavesBaseLearner extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
bkgLearner
SelfOptimisingKNearestLeaves.SelfOptimisingKNearestLeavesBaseLearner bkgLearner
-
classifier
SelfOptimisingBaseTree classifier
-
createdOn
long createdOn
-
driftDetectionMethod
ChangeDetector driftDetectionMethod
-
driftOption
ClassOption driftOption
-
evaluator
BasicRegressionPerformanceEvaluator evaluator
-
indexOriginal
int indexOriginal
-
isBackgroundLearner
boolean isBackgroundLearner
-
lastDriftOn
long lastDriftOn
-
lastWarningOn
long lastWarningOn
-
numberOfDriftsDetected
int numberOfDriftsDetected
-
numberOfWarningsDetected
int numberOfWarningsDetected
-
useBkgLearner
boolean useBkgLearner
-
useDriftDetector
boolean useDriftDetector
-
warningDetectionMethod
ChangeDetector warningDetectionMethod
-
warningOption
ClassOption warningOption
-
-
-
Class moa.classifiers.meta.StreamingGradientBoostedTrees extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
disableOneHotEncoding
FlagOption disableOneHotEncoding
-
lastPrediction
double[] lastPrediction
-
learningRateOption
FloatOption learningRateOption
-
multipleIterationByCeilingOfHessianTimesM
IntOption multipleIterationByCeilingOfHessianTimesM
-
numberClasses
int numberClasses
-
numberOfboostingIterations
IntOption numberOfboostingIterations
-
percentageOfAttributesForEachBoostingIteration
IntOption percentageOfAttributesForEachBoostingIteration
-
randomlySkip1SthOfInstancesAtTraining
IntOption randomlySkip1SthOfInstancesAtTraining
-
randomSeedOption
IntOption randomSeedOption
-
reset
boolean reset
-
SGBTCommittee
StreamingGradientBoostedTrees.SGBT[] SGBTCommittee
-
useSquaredLossForClassification
FlagOption useSquaredLossForClassification
-
-
Class moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearner
Classifier baseLearner
-
booster
ArrayList<StreamingGradientBoostedTrees.SGBT.BoostingCommittee> booster
-
classifierRandom
Random classifierRandom
-
committeeSize
int committeeSize
-
instancesSeenAtTrain
long instancesSeenAtTrain
-
learningRateOption
FloatOption learningRateOption
-
mObjective
StreamingGradientBoostedTrees.SGBT.Objective mObjective
-
multipleIterationByCeilingOfHessianTimesM
IntOption multipleIterationByCeilingOfHessianTimesM
-
numberOfboostingIterations
IntOption numberOfboostingIterations
-
percentageOfAttributesForEachBoostingIteration
IntOption percentageOfAttributesForEachBoostingIteration
-
randomlySkip1SthOfInstancesAtTraining
IntOption randomlySkip1SthOfInstancesAtTraining
-
subspaces
ArrayList<ArrayList<Integer>> subspaces
-
subSpacesForEachBoostingIteration
ArrayList<ArrayList<Integer>> subSpacesForEachBoostingIteration
-
useOneHotEncoding
FlagOption useOneHotEncoding
-
useSquaredLossForClassification
FlagOption useSquaredLossForClassification
-
-
Class moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.BoostingCommittee extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearner
Classifier baseLearner
-
committeeSize
int committeeSize
-
mInstances
int mInstances
-
treeCommittee
moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.TreeCommittee treeCommittee
-
-
Class moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.GradHess extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
gradient
double gradient
-
hessian
double hessian
-
-
Class moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.SoftmaxCrossEntropy extends StreamingGradientBoostedTrees.SGBT.Objective implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.meta.StreamingGradientBoostedTrees.SGBT.SquaredError extends StreamingGradientBoostedTrees.SGBT.Objective implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.meta.StreamingRandomPatches extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
disableBackgroundLearnerOption
FlagOption disableBackgroundLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
disableWeightedVote
FlagOption disableWeightedVote
-
driftDetectionMethodOption
ClassOption driftDetectionMethodOption
-
ensemble
StreamingRandomPatches.StreamingRandomPatchesClassifier[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
instancesSeen
long instancesSeen
-
lambdaOption
FloatOption lambdaOption
-
subspaceModeOption
MultiChoiceOption subspaceModeOption
-
subspaces
ArrayList<ArrayList<Integer>> subspaces
-
subspaceSizeOption
IntOption subspaceSizeOption
-
trainingMethodOption
MultiChoiceOption trainingMethodOption
-
warningDetectionMethodOption
ClassOption warningDetectionMethodOption
-
-
Class moa.classifiers.meta.TemporallyAugmentedClassifier extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearner
Classifier baseLearner
-
baseLearnerOption
ClassOption baseLearnerOption
-
header
Instances header
-
labelDelayOption
FlagOption labelDelayOption
-
numOldLabelsOption
IntOption numOldLabelsOption
-
oldLabels
double[] oldLabels
-
-
Class moa.classifiers.meta.WeightedMajorityAlgorithm extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
betaOption
FloatOption betaOption
-
ensemble
Classifier[] ensemble
-
ensembleWeights
double[] ensembleWeights
-
gammaOption
FloatOption gammaOption
-
learnerListOption
ListOption learnerListOption
-
pruneOption
FlagOption pruneOption
-
-
Class moa.classifiers.meta.WEKAClassifier extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
WEKAClassOption baseLearnerOption
-
classifier
weka.classifiers.Classifier classifier
-
instanceConverter
SamoaToWekaInstanceConverter instanceConverter
-
instancesBuffer
weka.core.Instances instancesBuffer
-
isBufferStoring
boolean isBufferStoring
-
isClassificationEnabled
boolean isClassificationEnabled
-
numberInstances
int numberInstances
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
widthInitOption
IntOption widthInitOption
-
widthOption
IntOption widthOption
-
-
-
Package moa.classifiers.meta.imbalanced
-
Class moa.classifiers.meta.imbalanced.CSMOTE extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
adwin
ADWIN adwin
-
adwinDriftDetector
ADWIN adwinDriftDetector
-
alreadyUsed
ArrayList<Integer> alreadyUsed
-
baseLearnerOption
ClassOption baseLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetection
boolean driftDetection
-
indexValues
int[] indexValues
-
instanceGenerated
HashMap<Instance,Integer> instanceGenerated
-
learner
Classifier learner
-
maj
Instances maj
-
min
Instances min
-
minSizeAllowed
int minSizeAllowed
-
minSizeAllowedOption
IntOption minSizeAllowedOption
-
neighbors
int neighbors
-
neighborsOption
IntOption neighborsOption
-
nGeneratedMajorityTotal
int nGeneratedMajorityTotal
-
nGeneratedMinorityTotal
int nGeneratedMinorityTotal
-
nMajorityTotal
int nMajorityTotal
-
nMinorityTotal
int nMinorityTotal
-
samoaToWeka
SamoaToWekaInstanceConverter samoaToWeka
-
threshold
double threshold
-
thresholdOption
FloatOption thresholdOption
-
W
ArrayList<Instance> W
-
wekaToSamoa
WekaToSamoaInstanceConverter wekaToSamoa
-
-
Class moa.classifiers.meta.imbalanced.OnlineAdaBoost extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
adwinEnsemble
ArrayList<ADWIN> adwinEnsemble
-
baseLearner
Classifier baseLearner
-
baseLearnerOption
ClassOption baseLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetection
boolean driftDetection
-
ensemble
ArrayList<Classifier> ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
epsilon
ArrayList<Double> epsilon
-
lambdaSc
ArrayList<Double> lambdaSc
-
lambdaSw
ArrayList<Double> lambdaSw
-
nEstimators
int nEstimators
-
-
Class moa.classifiers.meta.imbalanced.OnlineAdaC2 extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
adwinEnsemble
ArrayList<ADWIN> adwinEnsemble
-
baseLearner
Classifier baseLearner
-
baseLearnerOption
ClassOption baseLearnerOption
-
costNegative
double costNegative
-
costNegativeOption
FloatOption costNegativeOption
-
costPositive
double costPositive
-
costPositiveOption
FloatOption costPositiveOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetection
boolean driftDetection
-
ensemble
ArrayList<Classifier> ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
lambdaFN
ArrayList<Double> lambdaFN
-
lambdaFP
ArrayList<Double> lambdaFP
-
lambdaSum
ArrayList<Double> lambdaSum
-
lambdaTN
ArrayList<Double> lambdaTN
-
lambdaTP
ArrayList<Double> lambdaTP
-
nEstimators
int nEstimators
-
wAcc
ArrayList<Double> wAcc
-
wErr
ArrayList<Double> wErr
-
-
Class moa.classifiers.meta.imbalanced.OnlineCSB2 extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
adwinEnsemble
ArrayList<ADWIN> adwinEnsemble
-
baseLearner
Classifier baseLearner
-
baseLearnerOption
ClassOption baseLearnerOption
-
costNegative
double costNegative
-
costNegativeOption
FloatOption costNegativeOption
-
costPositive
double costPositive
-
costPositiveOption
FloatOption costPositiveOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetection
boolean driftDetection
-
ensemble
ArrayList<Classifier> ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
epsilon
ArrayList<Double> epsilon
-
lambdaFN
ArrayList<Double> lambdaFN
-
lambdaFP
ArrayList<Double> lambdaFP
-
lambdaSum
ArrayList<Double> lambdaSum
-
lambdaSw
ArrayList<Double> lambdaSw
-
nEstimators
int nEstimators
-
wErr
ArrayList<Double> wErr
-
-
Class moa.classifiers.meta.imbalanced.OnlineRUSBoost extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
adwinEnsemble
ArrayList<ADWIN> adwinEnsemble
-
algorithmImplementation
int algorithmImplementation
-
algorithmImplementationOption
MultiChoiceOption algorithmImplementationOption
-
baseLearner
Classifier baseLearner
-
baseLearnerOption
ClassOption baseLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetection
boolean driftDetection
-
ensemble
ArrayList<Classifier> ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
epsilon
ArrayList<Double> epsilon
-
lambdaNeg
ArrayList<Double> lambdaNeg
-
lambdaPos
ArrayList<Double> lambdaPos
-
lambdaSc
ArrayList<Double> lambdaSc
-
lambdaSw
ArrayList<Double> lambdaSw
-
nEstimators
int nEstimators
-
nNegative
double nNegative
-
nPositive
double nPositive
-
samplingRate
int samplingRate
-
samplingRateOption
IntOption samplingRateOption
-
-
Class moa.classifiers.meta.imbalanced.OnlineSMOTEBagging extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
adwinEnsemble
ArrayList<ADWIN> adwinEnsemble
-
baseLearner
Classifier baseLearner
-
baseLearnerOption
ClassOption baseLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetection
boolean driftDetection
-
ensemble
ArrayList<Classifier> ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
nEstimators
int nEstimators
-
posSamples
Instances posSamples
-
samoaToWeka
SamoaToWekaInstanceConverter samoaToWeka
-
samplingRate
int samplingRate
-
samplingRateOption
IntOption samplingRateOption
-
-
Class moa.classifiers.meta.imbalanced.OnlineUnderOverBagging extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
adwinEnsemble
ArrayList<ADWIN> adwinEnsemble
-
baseLearner
Classifier baseLearner
-
baseLearnerOption
ClassOption baseLearnerOption
-
disableDriftDetectionOption
FlagOption disableDriftDetectionOption
-
driftDetection
boolean driftDetection
-
ensemble
ArrayList<Classifier> ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
nEstimators
int nEstimators
-
samplingRate
int samplingRate
-
samplingRateOption
IntOption samplingRateOption
-
-
Class moa.classifiers.meta.imbalanced.RebalanceStream extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
accBal
double accBal
-
accLearner
double accLearner
-
accReset
double accReset
-
accResetBal
double accResetBal
-
adwin
ADWIN adwin
-
alreadyUsed
ArrayList<Integer> alreadyUsed
-
baseLearnerOption
ClassOption baseLearnerOption
-
batch
ArrayList<Instance> batch
-
batchMajority
ArrayList<Instance> batchMajority
-
batchMinority
ArrayList<Instance> batchMinority
-
confusionMatrixBal
int[][] confusionMatrixBal
-
confusionMatrixLearner
int[][] confusionMatrixLearner
-
confusionMatrixReset
int[][] confusionMatrixReset
-
confusionMatrixResetBal
int[][] confusionMatrixResetBal
-
effectiveNearestNeighbors
int effectiveNearestNeighbors
-
indexValues
int[] indexValues
-
instanceGenerated
HashMap<Instance,Integer> instanceGenerated
-
kStatBal
double kStatBal
-
kStatLearner
double kStatLearner
-
kStatReset
double kStatReset
-
kStatResetBal
double kStatResetBal
-
learner
Classifier learner
-
learnerBal
Classifier learnerBal
-
learnerReset
Classifier learnerReset
-
learnerResetBal
Classifier learnerResetBal
-
maxInstanceLimitBatch
int maxInstanceLimitBatch
-
maxInstanceLimitBatchOption
IntOption maxInstanceLimitBatchOption
-
maxInstanceLimitResetBatch
int maxInstanceLimitResetBatch
-
maxInstanceLimitResetBatchOption
IntOption maxInstanceLimitResetBatchOption
-
minInstanceLimitBatch
int minInstanceLimitBatch
-
minInstanceLimitBatchOption
IntOption minInstanceLimitBatchOption
-
minInstanceLimitResetBatch
int minInstanceLimitResetBatch
-
minInstanceLimitResetBatchOption
IntOption minInstanceLimitResetBatchOption
-
minorityInstances
weka.core.Instances minorityInstances
-
modelInUse
double modelInUse
-
nAttributes
int nAttributes
-
nGeneratedMajorityTotal
int nGeneratedMajorityTotal
-
nGeneratedMinorityTotal
int nGeneratedMinorityTotal
-
nMajorityTotal
int nMajorityTotal
-
nMinorityTotal
int nMinorityTotal
-
resetBatch
ArrayList<Instance> resetBatch
-
resetBatchMajority
ArrayList<Instance> resetBatchMajority
-
resetBatchMinority
ArrayList<Instance> resetBatchMinority
-
samoaToWeka
SamoaToWekaInstanceConverter samoaToWeka
-
vdmMap
Map vdmMap
-
warning
boolean warning
-
wekaToSamoa
WekaToSamoaInstanceConverter wekaToSamoa
-
-
-
Package moa.classifiers.multilabel
-
Class moa.classifiers.multilabel.MajorityLabelset extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
majorityLabelset
MultiLabelPrediction majorityLabelset
-
maxValue
double maxValue
-
vectorCounts
HashMap<String,Double> vectorCounts
-
-
Class moa.classifiers.multilabel.MEKAClassifier extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
WEKAClassOption baseLearnerOption
-
classifier
weka.classifiers.Classifier classifier
-
instanceConverter
SamoaToWekaInstanceConverter instanceConverter
-
instancesBuffer
weka.core.Instances instancesBuffer
-
isClassificationEnabled
boolean isClassificationEnabled
-
L
int L
-
-
Class moa.classifiers.multilabel.MultilabelHoeffdingTree extends HoeffdingTreeClassifLeaves implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.multilabel.MultilabelHoeffdingTree.MultilabelInactiveLearningNode extends HoeffdingTree.InactiveLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.multilabel.MultilabelHoeffdingTree.MultilabelLearningNodeClassifier extends HoeffdingTreeClassifLeaves.LearningNodeClassifier implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.multilabel.core.splitcriteria
-
Class moa.classifiers.multilabel.core.splitcriteria.ICVarianceReduction extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.multilabel.core.splitcriteria.PCTWeightedICVarianceReduction extends WeightedICVarianceReduction implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
inputWeights
DoubleVector inputWeights
-
targetInputTradeoff
double targetInputTradeoff
-
-
Class moa.classifiers.multilabel.core.splitcriteria.WeightedICVarianceReduction extends ICVarianceReduction implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
weights
DoubleVector weights
-
-
-
Package moa.classifiers.multilabel.meta
-
Class moa.classifiers.multilabel.meta.OzaBagAdwinML extends OzaBagAdwin implements Serializable
-
Class moa.classifiers.multilabel.meta.OzaBagML extends OzaBag implements Serializable
-
-
Package moa.classifiers.multilabel.trees
-
Class moa.classifiers.multilabel.trees.ISOUPTree extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTreeFadingFactorOption
FloatOption alternateTreeFadingFactorOption
-
alternateTreeTimeOption
IntOption alternateTreeTimeOption
-
alternateTreeTMinOption
IntOption alternateTreeTMinOption
-
doNotNormalizeOption
FlagOption doNotNormalizeOption
-
examplesSeen
DoubleVector examplesSeen
-
gracePeriodOption
IntOption gracePeriodOption
-
learningRateDecayFactorOption
FloatOption learningRateDecayFactorOption
-
learningRatioConstOption
FlagOption learningRatioConstOption
-
learningRatioOption
FloatOption learningRatioOption
-
learningWeight
double learningWeight
-
maxID
int maxID
-
numInputAttributes
int numInputAttributes
-
numOutputAttributes
int numOutputAttributes
-
PageHinckleyAlphaOption
FloatOption PageHinckleyAlphaOption
-
PageHinckleyThresholdOption
IntOption PageHinckleyThresholdOption
-
regressionTreeOption
FlagOption regressionTreeOption
-
runAsPCTOption
FlagOption runAsPCTOption
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
sumOfAttrSquares
DoubleVector sumOfAttrSquares
-
sumOfAttrValues
DoubleVector sumOfAttrValues
-
sumOfSquares
DoubleVector sumOfSquares
-
sumOfValues
DoubleVector sumOfValues
-
targetWeights
DoubleVector targetWeights
-
tieThresholdOption
FloatOption tieThresholdOption
-
treeRoot
ISOUPTree.Node treeRoot
-
weightFile
FileOption weightFile
-
weightOfInputs
DoubleVector weightOfInputs
-
writer
BufferedWriter writer
-
-
Class moa.classifiers.multilabel.trees.ISOUPTree.InnerNode extends ISOUPTree.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
AutoExpandVector<ISOUPTree.Node> children
-
lossExamplesSeen
double lossExamplesSeen
-
lossFadedSumAlternate
double lossFadedSumAlternate
-
lossFadedSumOriginal
double lossFadedSumOriginal
-
lossNumQiTests
double lossNumQiTests
-
lossSumQi
double lossSumQi
-
PHmins
DoubleVector PHmins
-
PHsums
DoubleVector PHsums
-
previousWeight
double previousWeight
-
sumOfAbsErrors
DoubleVector sumOfAbsErrors
-
-
Class moa.classifiers.multilabel.trees.ISOUPTree.LeafNode extends ISOUPTree.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<AttributeStatisticsObserver> attributeObservers
-
errorM
DoubleVector errorM
-
errorP
DoubleVector errorP
-
examplesSeenAtLastSplitEvaluation
double examplesSeenAtLastSplitEvaluation
-
inputIndexes
List<Integer> inputIndexes
-
learningModel
ISOUPTree.MultitargetPerceptron learningModel
-
learningWeight
double learningWeight
-
-
Class moa.classifiers.multilabel.trees.ISOUPTree.MultitargetPerceptron extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
instancesSeen
int instancesSeen
-
tree
ISOUPTree tree
-
weights
double[][] weights
-
-
Class moa.classifiers.multilabel.trees.ISOUPTree.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTree
ISOUPTree.Node alternateTree
-
changeDetection
boolean changeDetection
-
examplesSeen
DoubleVector examplesSeen
-
ID
int ID
-
originalNode
ISOUPTree.Node originalNode
-
parent
ISOUPTree.InnerNode parent
-
sumOfInputSquares
DoubleVector sumOfInputSquares
-
sumOfInputValues
DoubleVector sumOfInputValues
-
sumOfSquares
DoubleVector sumOfSquares
-
sumOfValues
DoubleVector sumOfValues
-
tree
ISOUPTree tree
-
weightOfInputs
DoubleVector weightOfInputs
-
weightSeenAtLastSplitEvaluation
double weightSeenAtLastSplitEvaluation
-
-
Class moa.classifiers.multilabel.trees.ISOUPTree.SplitNode extends ISOUPTree.InnerNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
predicate
Predicate predicate
-
-
Class moa.classifiers.multilabel.trees.ISOUPTreeRF extends ISOUPTree implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
subspaceSize
Integer subspaceSize
-
subspaceSizeOption
MultiChoiceOption subspaceSizeOption
-
-
-
Package moa.classifiers.multitarget
-
Class moa.classifiers.multitarget.BasicMultiLabelClassifier extends BasicMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.multitarget.BasicMultiLabelLearner extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
Classifier[] ensemble
-
hasStarted
boolean hasStarted
-
header
InstancesHeader[] header
-
randomSeedOption
IntOption randomSeedOption
-
-
Class moa.classifiers.multitarget.BasicMultiTargetRegressor extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
Classifier[] ensemble
-
hasStarted
boolean hasStarted
-
header
InstancesHeader[] header
-
randomSeedOption
IntOption randomSeedOption
-
-
-
Package moa.classifiers.multitarget.functions
-
Class moa.classifiers.multitarget.functions.MultiTargetNoChange extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
lastSeenClasses
Prediction lastSeenClasses
-
-
-
Package moa.classifiers.oneclass
-
Class moa.classifiers.oneclass.Autoencoder extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
biasOne
double biasOne
The bias for the calculations between the input layer and the hidden layer. -
biasTwo
double biasTwo
the bias for the calculations between the hidden layer and the output layer. -
hiddenLayerOption
IntOption hiddenLayerOption
-
hiddenLayerSize
int hiddenLayerSize
The number of neurons in the hidden layer. -
learningRate
double learningRate
The learning rate; controls the size of the adjustments of the weights and bias unit. -
learningRateOption
FloatOption learningRateOption
-
numAttributes
int numAttributes
The dimensionality of the data stream. -
reset
boolean reset
If true, denotes that the autoencoder needs to be initialized. -
threshold
double threshold
Controls the cut off point for declaring outliers. -
thresholdOption
FloatOption thresholdOption
-
weightsOne
org.apache.commons.math3.linear.RealMatrix weightsOne
The weights between the input layer and the hidden layer. -
weightsTwo
org.apache.commons.math3.linear.RealMatrix weightsTwo
the weights between the hidden layer and the output layer.
-
-
Class moa.classifiers.oneclass.HSTreeNode extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
depth
int depth
The depth of this node in the HSTree. The root node is at depth 1. -
dimensions
int dimensions
The dimensionality of the data stream. -
internalNode
boolean internalNode
If this node is an internal node: true, if it is a leaf node: false. -
l
int l
The mass profile of the latest window. -
left
HSTreeNode left
The left/right nodes pointed to by this node. -
r
int r
The mass profile of the reference window. -
right
HSTreeNode right
The left/right nodes pointed to by this node. -
splitAttribute
int splitAttribute
The randomly chosen attribute that this node splits on. In the paper this is 'q'. -
splitValue
double splitValue
The midpoint of the split attribute in the workspace of the node.- See Also:
HSTreeNode.splitAttribute
-
-
Class moa.classifiers.oneclass.HSTrees extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyThreshold
double anomalyThreshold
The threshold for declaring anomalies -
anomalyThresholdOption
FloatOption anomalyThresholdOption
-
dimensions
int dimensions
The dimensionality of the data stream. -
forest
HSTreeNode[] forest
The forest of HSTrees -
maxDepth
int maxDepth
The maximum depth of the trees - 'maxDepth' in the original paper. -
maxDepthOption
IntOption maxDepthOption
-
numInstances
int numInstances
The number of instances from the data stream processed to date. -
numTrees
int numTrees
The number of trees in the ensemble - 't' in the original paper. -
numTreesOption
IntOption numTreesOption
-
referenceWindow
boolean referenceWindow
If the classifier is in the first reference window: true, else: false -
sizeLimit
double sizeLimit
The minimum mass required in a node (as a fraction of the window size) to calculate the anomaly score. 'sizeLimit' in the original paper. -
sizeLimitOption
FloatOption sizeLimitOption
-
windowSize
int windowSize
The size of the landmark windows used - 'psi' in the original paper. -
windowSizeOption
IntOption windowSizeOption
-
-
Class moa.classifiers.oneclass.NearestNeighbourDescription extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
nbhdSize
int nbhdSize
-
neighbourhood
FixedLengthList<Instance> neighbourhood
-
neighbourhoodSizeOption
IntOption neighbourhoodSizeOption
-
tau
double tau
-
thresholdOption
FloatOption thresholdOption
-
-
-
Package moa.classifiers.rules
-
Class moa.classifiers.rules.AbstractAMRules extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyNumInstThresholdOption
IntOption anomalyNumInstThresholdOption
-
attributesPercentage
double attributesPercentage
-
defaultRule
Rule defaultRule
-
DriftDetectionOption
FlagOption DriftDetectionOption
-
gracePeriodOption
IntOption gracePeriodOption
-
multivariateAnomalyProbabilityThresholdOption
FloatOption multivariateAnomalyProbabilityThresholdOption
-
noAnomalyDetectionOption
FlagOption noAnomalyDetectionOption
-
numAnomaliesDetected
double numAnomaliesDetected
-
numChangesDetected
double numChangesDetected
AMRules Algorithm. Method for updating (training) the AMRules model using a new instance -
numericObserverOption
ClassOption numericObserverOption
-
numInstances
double numInstances
-
pageHinckleyAlphaOption
FloatOption pageHinckleyAlphaOption
-
pageHinckleyThresholdOption
IntOption pageHinckleyThresholdOption
-
ruleNumberID
int ruleNumberID
-
ruleSet
RuleSet ruleSet
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
statistics
double[] statistics
-
tieThresholdOption
FloatOption tieThresholdOption
-
univariateAnomalyprobabilityThresholdOption
FloatOption univariateAnomalyprobabilityThresholdOption
-
unorderedRulesOption
FlagOption unorderedRulesOption
-
VerbosityOption
IntOption VerbosityOption
-
-
Class moa.classifiers.rules.AMRulesRegressor extends AMRulesMultiTargetRegressor implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.AMRulesRegressorOld extends AbstractAMRules implements Serializable
- serialVersionUID:
- 5988040868275521928L
-
Serialized Fields
-
constantLearningRatioDecayOption
FlagOption constantLearningRatioDecayOption
-
learningRatioOption
FloatOption learningRatioOption
-
predictionFunctionOption
MultiChoiceOption predictionFunctionOption
-
splitCriterionOption
ClassOption splitCriterionOption
-
votingTypeOption
ClassOption votingTypeOption
-
-
Class moa.classifiers.rules.BinaryClassifierFromRegressor extends AbstractClassifier implements Serializable
- serialVersionUID:
- 8271864290912280188L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
regressor
Classifier regressor
-
-
Class moa.classifiers.rules.Predicates extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeValue
double attributeValue
-
symbol
double symbol
-
value
double value
-
-
Class moa.classifiers.rules.RuleClassification extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
actualClassStatistics
double actualClassStatistics
-
attributeMissingValues
DoubleVector attributeMissingValues
-
attributesProbability
DoubleVector attributesProbability
-
attributeStatistics
DoubleVector attributeStatistics
-
attributeStatisticsSupervised
ArrayList<ArrayList<Double>> attributeStatisticsSupervised
-
instancesSeen
int instancesSeen
-
instancesSeenTest
int instancesSeenTest
-
obserClassDistrib
DoubleVector obserClassDistrib
-
observers
AutoExpandVector<AttributeClassObserver> observers
-
observersGauss
AutoExpandVector<AttributeClassObserver> observersGauss
-
PHmT
double PHmT
-
PHMT
double PHMT
-
predicateSet
ArrayList<Predicates> predicateSet
-
reset
boolean reset
-
squaredActualClassStatistics
double squaredActualClassStatistics
-
squaredAttributeStatistics
DoubleVector squaredAttributeStatistics
-
squaredAttributeStatisticsSupervised
ArrayList<ArrayList<Double>> squaredAttributeStatisticsSupervised
-
ValorTargetRule
double ValorTargetRule
-
weightAttribute
double[] weightAttribute
-
XiSum
double XiSum
-
-
Class moa.classifiers.rules.RuleClassifier extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyDetectionOption
FlagOption anomalyDetectionOption
-
anomalyNumInstThresholdOption
IntOption anomalyNumInstThresholdOption
-
anomalyProbabilityThresholdOption
FloatOption anomalyProbabilityThresholdOption
-
attributeObservers
AutoExpandVector<AttributeClassObserver> attributeObservers
-
attributeObserversGauss
AutoExpandVector<AttributeClassObserver> attributeObserversGauss
-
caseAnomaly
ArrayList<ArrayList<Integer>> caseAnomaly
-
caseAnomalySupervised
ArrayList<ArrayList<Integer>> caseAnomalySupervised
-
cutPointTemp
double cutPointTemp
-
gracePeriodOption
IntOption gracePeriodOption
-
instance
Instance instance
-
minEntropyNominalAttrib
double minEntropyNominalAttrib
-
minEntropyTemp
double minEntropyTemp
-
numAttributes
int numAttributes
-
numClass
int numClass
-
numInstance
int numInstance
-
observedClassDistribution
DoubleVector observedClassDistribution
-
orderedRulesOption
FlagOption orderedRulesOption
-
PminOption
FloatOption PminOption
-
pred
Predicates pred
-
predictionFunctionOption
MultiChoiceOption predictionFunctionOption
-
probabilityThresholdOption
FloatOption probabilityThresholdOption
-
root
BinaryTreeNumericAttributeClassObserver.Node root
-
ruleAnomaliesIndex
ArrayList<Integer> ruleAnomaliesIndex
-
ruleAnomaliesIndexSupervised
ArrayList<Integer> ruleAnomaliesIndexSupervised
-
ruleAttribAnomalyStatistics
ArrayList<ArrayList<ArrayList<Double>>> ruleAttribAnomalyStatistics
-
ruleAttribAnomalyStatisticsSupervised
ArrayList<ArrayList<ArrayList<Double>>> ruleAttribAnomalyStatisticsSupervised
-
ruleClassIndex
DoubleVector ruleClassIndex
-
ruleSet
ArrayList<RuleClassification> ruleSet
-
ruleSetAnomalies
ArrayList<RuleClassification> ruleSetAnomalies
-
ruleSetAnomaliesSupervised
ArrayList<RuleClassification> ruleSetAnomaliesSupervised
-
saveBestEntropy
DoubleVector saveBestEntropy
-
saveBestEntropyNominalAttrib
DoubleVector saveBestEntropyNominalAttrib
-
saveBestGlobalEntropy
DoubleVector saveBestGlobalEntropy
-
saveBestValGlobalEntropy
ArrayList<ArrayList<Double>> saveBestValGlobalEntropy
-
saveTheBest
ArrayList<Double> saveTheBest
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
Supervised
FlagOption Supervised
-
symbol
double symbol
-
tieThresholdOption
FloatOption tieThresholdOption
-
Unsupervised
FlagOption Unsupervised
-
-
Class moa.classifiers.rules.RuleClassifierNBayes extends RuleClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
nbThresholdOption
IntOption nbThresholdOption
-
-
-
Package moa.classifiers.rules.core
-
Class moa.classifiers.rules.core.NominalRulePredicate extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeValue
double attributeValue
-
inputAttributeIndex
int inputAttributeIndex
-
isEqual
boolean isEqual
-
-
Class moa.classifiers.rules.core.NumericRulePredicate extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeValue
double attributeValue
-
inputAttributeIndex
int inputAttributeIndex
-
isEqualOrLower
boolean isEqualOrLower
-
-
Class moa.classifiers.rules.core.Rule extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
amRules
AbstractAMRules amRules
-
builder
Rule.Builder builder
-
learningNode
RuleActiveLearningNode learningNode
-
nodeList
List<RuleSplitNode> nodeList
-
ruleNumberID
int ruleNumberID
-
statisticsOtherBranchSplit
double[] statisticsOtherBranchSplit
-
-
Class moa.classifiers.rules.core.Rule.Builder extends Object implements Serializable
- serialVersionUID:
- 1712887264918475622L
-
Serialized Fields
-
alpha
double alpha
-
amRules
AbstractAMRules amRules
-
changeDetection
boolean changeDetection
-
constantLearningRatioDecayOption
FlagOption constantLearningRatioDecayOption
-
id
int id
-
lastTargetMean
double lastTargetMean
-
learningRatioOption
FloatOption learningRatioOption
-
owner
Rule owner
-
predictionFunction
int predictionFunction
-
statistics
double[] statistics
-
threshold
double threshold
-
usePerceptron
boolean usePerceptron
-
-
Class moa.classifiers.rules.core.RuleActiveLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
- serialVersionUID:
- 9129659494380381126L
-
Serialized Fields
-
amRules
AbstractAMRules amRules
-
attributesMask
boolean[] attributesMask
-
bestSuggestion
AttributeSplitSuggestion bestSuggestion
-
changeDetection
boolean changeDetection
-
nodeStatistics
DoubleVector nodeStatistics
-
numAttributesSelected
int numAttributesSelected
-
owner
Rule owner
-
pageHinckleyTest
PageHinkleyTest pageHinckleyTest
-
predictionFunction
int predictionFunction
-
splitIndex
int splitIndex
-
statisticsBranchSplit
double[] statisticsBranchSplit
-
statisticsNewRuleActiveLearningNode
double[] statisticsNewRuleActiveLearningNode
-
statisticsOtherBranchSplit
double[] statisticsOtherBranchSplit
-
-
Class moa.classifiers.rules.core.RuleActiveRegressionNode extends RuleActiveLearningNode implements Serializable
- serialVersionUID:
- 1607453624545272049L
-
Serialized Fields
-
perceptron
Perceptron perceptron
-
targetMean
TargetMean targetMean
-
-
Class moa.classifiers.rules.core.RuleSet extends ArrayList<Rule> implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.core.RuleSplitNode extends HoeffdingTree.SplitNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
lastTargetMean
double lastTargetMean
-
operatorObserver
int operatorObserver
-
-
-
Package moa.classifiers.rules.core.anomalydetection
-
Class moa.classifiers.rules.core.anomalydetection.AbstractAnomalyDetector extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.core.anomalydetection.AnomalinessRatioScore extends AbstractAnomalyDetector implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyScore
double anomalyScore
-
minInstances
int minInstances
-
minNumberInstancesOption
IntOption minNumberInstancesOption
-
percentageAnomalous
double percentageAnomalous
-
percentageAnomalousAttributesOption
FloatOption percentageAnomalousAttributesOption
-
probabilityFunction
ProbabilityFunction probabilityFunction
-
probabilityFunctionOption
ClassOption probabilityFunctionOption
-
sufficientStatistics
AutoExpandVector<double[]> sufficientStatistics
-
univariateAnomalyprobabilityThresholdOption
FloatOption univariateAnomalyprobabilityThresholdOption
-
univariateThreshold
double univariateThreshold
-
weightSeen
double weightSeen
-
-
Class moa.classifiers.rules.core.anomalydetection.NoAnomalyDetection extends AbstractAnomalyDetector implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyScore
double anomalyScore
-
-
Class moa.classifiers.rules.core.anomalydetection.OddsRatioScore extends AbstractAnomalyDetector implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyScore
double anomalyScore
-
minInstances
int minInstances
-
minNumberInstancesOption
IntOption minNumberInstancesOption
-
probabilityFunction
ProbabilityFunction probabilityFunction
-
probabilityFunctionOption
ClassOption probabilityFunctionOption
-
sufficientStatistics
AutoExpandVector<double[]> sufficientStatistics
-
threshold
double threshold
-
thresholdOption
FloatOption thresholdOption
-
weightSeen
double weightSeen
-
-
-
Package moa.classifiers.rules.core.anomalydetection.probabilityfunctions
-
Class moa.classifiers.rules.core.anomalydetection.probabilityfunctions.CantellisInequality extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.core.anomalydetection.probabilityfunctions.ChebyshevInequality extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.core.anomalydetection.probabilityfunctions.GaussInequality extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.rules.core.attributeclassobservers
-
Class moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver extends FIMTDDNumericAttributeClassObserver implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
maxNodes
int maxNodes
-
maxNodesOption
IntOption maxNodesOption
-
numNodes
int numNodes
-
-
Class moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver.Node extends FIMTDDNumericAttributeClassObserver.Node implements Serializable
- serialVersionUID:
- -4484141636424708465L
-
Serialized Fields
-
-
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
-
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
-
alpha
double alpha
-
cumulativeSum
double cumulativeSum
-
minimumValue
double minimumValue
-
phinstancesSeen
long phinstancesSeen
-
sumAbsolutError
double sumAbsolutError
-
threshold
double threshold
-
-
-
Package moa.classifiers.rules.errormeasurers
-
Class moa.classifiers.rules.errormeasurers.ErrorMeasurement extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
fadingErrorFactor
double fadingErrorFactor
-
fadingErrorFactorOption
FloatOption fadingErrorFactorOption
-
-
Class moa.classifiers.rules.errormeasurers.MeanAbsoluteDeviation extends ErrorMeasurement implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
sumError
double sumError
-
weightSeen
double weightSeen
-
-
Class moa.classifiers.rules.errormeasurers.RootMeanSquaredError extends ErrorMeasurement implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
sumSquaredError
double sumSquaredError
-
weightSeen
double weightSeen
-
-
-
Package moa.classifiers.rules.featureranking
-
Class moa.classifiers.rules.featureranking.AbstractFeatureRanking extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.featureranking.BasicFeatureRanking extends AbstractFeatureRanking implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeImportance
DoubleVector attributeImportance
-
ruleInformation
HashMap<ObservableMOAObject,BasicFeatureRanking.RuleInformation> ruleInformation
-
-
Class moa.classifiers.rules.featureranking.MeritFeatureRanking extends AbstractFeatureRanking implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeImportance
DoubleVector attributeImportance
-
ruleInformation
HashMap<ObservableMOAObject,MeritFeatureRanking.RuleInformation> ruleInformation
-
-
Class moa.classifiers.rules.featureranking.NoFeatureRanking extends AbstractFeatureRanking implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.featureranking.WeightedMajorityFeatureRanking extends AbstractFeatureRanking implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeImportance
double[] attributeImportance
-
meritThresholdOption
FloatOption meritThresholdOption
-
ruleInformation
HashMap<ObservableMOAObject,WeightedMajorityFeatureRanking.RuleInformation> ruleInformation
-
-
-
Package moa.classifiers.rules.functions
-
Class moa.classifiers.rules.functions.AdaptiveNodePredictor extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
hasStarted
boolean hasStarted
-
p
Perceptron p
-
tm
TargetMean tm
-
-
Class moa.classifiers.rules.functions.FadingTargetMean extends TargetMean implements Serializable
- serialVersionUID:
- -1383391769242905972L
-
Serialized Fields
-
fadingFactor
double fadingFactor
-
fadingFactorOption
FloatOption fadingFactorOption
-
nD
double nD
-
-
Class moa.classifiers.rules.functions.LowPassFilteredLearner extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alpha
double alpha
-
alphaOption
FloatOption alphaOption
-
baseLearnerOption
ClassOption baseLearnerOption
-
hasStarted
boolean hasStarted
-
lastX
double lastX
-
lastY
double lastY
-
learner
AbstractClassifier learner
-
-
Class moa.classifiers.rules.functions.Perceptron extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
accumulatedError
double accumulatedError
-
constantLearningRatioDecayOption
FlagOption constantLearningRatioDecayOption
-
fadingFactor
double fadingFactor
-
fadingFactorOption
FloatOption fadingFactorOption
-
initialisePerceptron
boolean initialisePerceptron
-
learningRateDecay
double learningRateDecay
-
learningRateDecayOption
FloatOption learningRateDecayOption
-
learningRatio
double learningRatio
-
learningRatioOption
FloatOption learningRatioOption
-
nError
double nError
-
numericAttributesIndex
int[] numericAttributesIndex
-
perceptronattributeStatistics
DoubleVector perceptronattributeStatistics
-
perceptronInstancesSeen
double perceptronInstancesSeen
-
perceptronsumY
double perceptronsumY
-
perceptronYSeen
double perceptronYSeen
-
randomSeedOption
IntOption randomSeedOption
-
SD_THRESHOLD
double SD_THRESHOLD
-
squaredperceptronattributeStatistics
DoubleVector squaredperceptronattributeStatistics
-
squaredperceptronsumY
double squaredperceptronsumY
-
weightAttribute
double[] weightAttribute
-
-
Class moa.classifiers.rules.functions.TargetMean extends AbstractClassifier implements Serializable
- serialVersionUID:
- 7152547322803559115L
-
Serialized Fields
-
errorSum
double errorSum
-
fadingErrorFactor
double fadingErrorFactor
-
fadingErrorFactorOption
FloatOption fadingErrorFactorOption
-
n
double n
-
nError
double nError
-
sum
double sum
-
-
-
Package moa.classifiers.rules.meta
-
Class moa.classifiers.rules.meta.RandomAMRules extends MultiLabelRandomAMRules implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.meta.RandomAMRulesOld extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
dataset
InstancesHeader[] dataset
-
ensemble
AbstractAMRules[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
fadingErrorFactorOption
FloatOption fadingErrorFactorOption
-
isRegression
boolean isRegression
-
listAttributes
int[][] listAttributes
-
nError
double[] nError
-
numAttributes
int numAttributes
-
numAttributesPercentageOption
FloatOption numAttributesPercentageOption
-
randomSeedOption
IntOption randomSeedOption
-
sumError
double[] sumError
-
useBaggingOption
FlagOption useBaggingOption
-
VerbosityOption
IntOption VerbosityOption
-
votingFunctionOption
ClassOption votingFunctionOption
-
votingTypeOption
MultiChoiceOption votingTypeOption
-
-
-
Package moa.classifiers.rules.multilabel
-
Class moa.classifiers.rules.multilabel.AMRulesMultiLabelClassifier extends AMRulesMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.AMRulesMultiLabelLearner extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyDetector
ClassOption anomalyDetector
-
attributesPercentage
double attributesPercentage
-
changeDetector
ClassOption changeDetector
-
defaultRule
MultiLabelRule defaultRule
-
dropOldRuleAfterExpansionOption
FlagOption dropOldRuleAfterExpansionOption
-
errorMeasurerOption
ClassOption errorMeasurerOption
-
featureRanking
FeatureRanking featureRanking
-
featureRankingOption
ClassOption featureRankingOption
-
gracePeriodOption
IntOption gracePeriodOption
-
inputSelectorOption
ClassOption inputSelectorOption
-
learnerOption
ClassOption learnerOption
-
nAttributes
int nAttributes
-
nominalObserverOption
ClassOption nominalObserverOption
-
numAnomaliesDetected
double numAnomaliesDetected
-
numChangesDetected
double numChangesDetected
AMRules Algorithm. Method for updating (training) the AMRules model using a new instance -
numericObserverOption
ClassOption numericObserverOption
-
numInstances
double numInstances
-
observer
ObserverMOAObject observer
-
outputSelectorOption
ClassOption outputSelectorOption
-
randomSeedOption
IntOption randomSeedOption
-
ruleNumberID
int ruleNumberID
-
ruleSet
MultiLabelRuleSet ruleSet
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCriterionOption
ClassOption splitCriterionOption
-
statistics
double[] statistics
-
tieThresholdOption
FloatOption tieThresholdOption
-
unorderedRulesOption
FlagOption unorderedRulesOption
-
VerbosityOption
IntOption VerbosityOption
-
weightedVoteOption
ClassOption weightedVoteOption
-
-
Class moa.classifiers.rules.multilabel.AMRulesMultiLabelLearnerSemiSuper extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyDetector
ClassOption anomalyDetector
-
anomalyDetector2
AnomalyDetector anomalyDetector2
-
attributesPercentage
double attributesPercentage
-
changeDetector
ClassOption changeDetector
-
defaultRule
MultiLabelRule defaultRule
-
dropOldRuleAfterExpansionOption
FlagOption dropOldRuleAfterExpansionOption
-
errorMeasurerOption
ClassOption errorMeasurerOption
-
featureRanking
FeatureRanking featureRanking
-
featureRankingOption
ClassOption featureRankingOption
-
gracePeriodOption
IntOption gracePeriodOption
-
hasModel
boolean hasModel
-
inputSelectorOption
ClassOption inputSelectorOption
-
isUnlabeled
boolean isUnlabeled
-
learnerOption
ClassOption learnerOption
-
nAttributes
int nAttributes
-
nominalObserverOption
ClassOption nominalObserverOption
-
numAnomaliesDetected
double numAnomaliesDetected
-
numberTotalExamples
int numberTotalExamples
-
numChangesDetected
double numChangesDetected
AMRules Algorithm. Method for updating (training) the AMRules model using a new instance -
numericObserverOption
ClassOption numericObserverOption
-
numInstances
double numInstances
-
observer
ObserverMOAObject observer
-
outputSelectorOption
ClassOption outputSelectorOption
-
prediction
Prediction prediction
-
randomSeedOption
IntOption randomSeedOption
-
ruleNumberID
int ruleNumberID
-
ruleSet
MultiLabelRuleSet ruleSet
-
scoreThreshold
FloatOption scoreThreshold
-
slidingWindowSize
IntOption slidingWindowSize
-
slidingWindowStep
IntOption slidingWindowStep
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCriterionOption
ClassOption splitCriterionOption
-
statistics
double[] statistics
-
tieThresholdOption
FloatOption tieThresholdOption
-
unorderedRulesOption
FlagOption unorderedRulesOption
-
VerbosityOption
IntOption VerbosityOption
-
weightedVoteOption
ClassOption weightedVoteOption
-
-
Class moa.classifiers.rules.multilabel.AMRulesMultiTargetRegressor extends AMRulesMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.AMRulesMultiTargetRegressorSemiSuper extends AMRulesMultiLabelLearnerSemiSuper implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.rules.multilabel.attributeclassobservers
-
Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTree extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
leftStatistics
DoubleVector[] leftStatistics
-
maxNodes
int maxNodes
-
maxNodesOption
IntOption maxNodesOption
-
numNodes
int numNodes
-
rightStatistics
DoubleVector[] rightStatistics
-
root
MultiLabelBSTree.Node root
-
-
Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTree.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cutPoint
double cutPoint
-
left
MultiLabelBSTree.Node left
-
leftStatistics
DoubleVector[] leftStatistics
-
right
MultiLabelBSTree.Node right
-
rightStatistics
DoubleVector[] rightStatistics
-
-
Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreeFloat extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
leftStatistics
DoubleVector[] leftStatistics
-
maxNodes
int maxNodes
-
maxNodesOption
IntOption maxNodesOption
-
numNodes
int numNodes
-
rightStatistics
DoubleVector[] rightStatistics
-
root
MultiLabelBSTreeFloat.Node root
-
-
Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreeFloat.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cutPoint
float cutPoint
-
left
MultiLabelBSTreeFloat.Node left
-
leftStatistics
SingleVector[] leftStatistics
-
right
MultiLabelBSTreeFloat.Node right
-
rightStatistics
SingleVector[] rightStatistics
-
-
Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreePCT extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
leftInputStatistics
DoubleVector[] leftInputStatistics
-
leftTargetStatistics
DoubleVector[] leftTargetStatistics
-
maxNodes
int maxNodes
-
maxNodesOption
IntOption maxNodesOption
-
numNodes
int numNodes
-
rightInputStatistics
DoubleVector[] rightInputStatistics
-
rightTargetStatistics
DoubleVector[] rightTargetStatistics
-
root
MultiLabelBSTreePCT.Node root
-
-
Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreePCT.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cutPoint
double cutPoint
-
inputStatistics
DoubleVector[] inputStatistics
-
left
MultiLabelBSTreePCT.Node left
-
right
MultiLabelBSTreePCT.Node right
-
targetStatistics
DoubleVector[] targetStatistics
-
-
Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelNominalAttributeObserver extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
addUndeclaredValuesOption
FlagOption addUndeclaredValuesOption
-
statisticsByNominalValue
HashMap<Integer,DoubleVector[]> statisticsByNominalValue
-
-
Class moa.classifiers.rules.multilabel.attributeclassobservers.SingleVector extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
array
float[] array
-
-
-
Package moa.classifiers.rules.multilabel.core
-
Class moa.classifiers.rules.multilabel.core.AttributeExpansionSuggestion extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
merit
double merit
-
predicate
Predicate predicate
-
resultingNodeStatistics
DoubleVector[][] resultingNodeStatistics
-
-
Class moa.classifiers.rules.multilabel.core.LearningLiteral extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anomalyDetector
AnomalyDetector anomalyDetector
-
attributeObservers
AutoExpandVector<AttributeStatisticsObserver> attributeObservers
-
attributesMask
boolean[] attributesMask
-
attributesPercentage
double attributesPercentage
-
bestSuggestion
AttributeExpansionSuggestion bestSuggestion
-
changeDetector
ChangeDetector changeDetector
-
changeDetectors
ChangeDetector[] changeDetectors
-
errorMeasurer
MultiLabelErrorMeasurer errorMeasurer
-
expandedLearningLiteral
LearningLiteral expandedLearningLiteral
-
hasStarted
boolean hasStarted
-
inputSelector
InputAttributesSelector inputSelector
-
inputsToLearn
int[] inputsToLearn
-
instanceHeader
InstancesHeader instanceHeader
-
instanceInformation
InstanceInformation instanceInformation
-
instanceTransformer
InstanceTransformer instanceTransformer
-
learner
MultiLabelLearner learner
-
literalStatistics
DoubleVector[] literalStatistics
-
meritPerInput
double[] meritPerInput
-
nominalStatisticsObserver
NominalStatisticsObserver nominalStatisticsObserver
-
numericStatisticsObserver
NumericStatisticsObserver numericStatisticsObserver
-
otherBranchLearningLiteral
LearningLiteral otherBranchLearningLiteral
-
otherOutputsLearningLiteral
LearningLiteral otherOutputsLearningLiteral
-
outputSelector
OutputAttributesSelector outputSelector
-
outputsToLearn
int[] outputsToLearn
-
randomGenerator
Random randomGenerator
-
splitCriterion
MultiLabelSplitCriterion splitCriterion
-
weightSeen
double weightSeen
-
-
Class moa.classifiers.rules.multilabel.core.LearningLiteralClassification extends LearningLiteral implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
EntropyShift
double[] EntropyShift
-
-
Class moa.classifiers.rules.multilabel.core.LearningLiteralRegression extends LearningLiteral implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
varianceShift
double[] varianceShift
-
-
Class moa.classifiers.rules.multilabel.core.Literal extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
predicate
Predicate predicate
-
-
Class moa.classifiers.rules.multilabel.core.MultiLabelRule extends ObservableMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
instanceInformation
InstanceInformation instanceInformation
-
learningLiteral
LearningLiteral learningLiteral
-
literalList
List<Literal> literalList
-
otherBranchRule
MultiLabelRule otherBranchRule
-
otherOutputsRule
MultiLabelRule otherOutputsRule
-
ruleNumberID
int ruleNumberID
-
-
Class moa.classifiers.rules.multilabel.core.MultiLabelRuleClassification extends MultiLabelRule implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.core.MultiLabelRuleRegression extends MultiLabelRule implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.core.MultiLabelRuleSet extends LinkedList<MultiLabelRule> implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.core.ObservableMOAObject extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
observers
List<ObserverMOAObject> observers
-
-
-
Package moa.classifiers.rules.multilabel.core.splitcriteria
-
Class moa.classifiers.rules.multilabel.core.splitcriteria.MultilabelInformationGain extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.core.splitcriteria.MultiTargetVarianceRatio extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.rules.multilabel.core.voting
-
Class moa.classifiers.rules.multilabel.core.voting.AbstractErrorWeightedVoteMultiLabel extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
errors
List<double[]> errors
-
outputAttributesCount
int[] outputAttributesCount
-
votes
List<Prediction> votes
-
weightedVote
Prediction weightedVote
-
weights
double[][] weights
-
-
Class moa.classifiers.rules.multilabel.core.voting.FirstHitVoteMultiLabel extends AbstractErrorWeightedVoteMultiLabel implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.core.voting.InverseErrorWeightedVoteMultiLabel extends AbstractErrorWeightedVoteMultiLabel implements Serializable
- serialVersionUID:
- 6359349250620616482L
-
Class moa.classifiers.rules.multilabel.core.voting.UniformWeightedVoteMultiLabel extends AbstractErrorWeightedVoteMultiLabel implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.rules.multilabel.errormeasurers
-
Class moa.classifiers.rules.multilabel.errormeasurers.AbstractMultiLabelErrorMeasurer extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
fadingErrorFactor
double fadingErrorFactor
-
fadingErrorFactorOption
FloatOption fadingErrorFactorOption
-
-
Class moa.classifiers.rules.multilabel.errormeasurers.AbstractMultiTargetErrorMeasurer extends AbstractMultiLabelErrorMeasurer implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.errormeasurers.MeanAbsoluteDeviationMT extends AbstractMultiTargetErrorMeasurer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
hasStarted
boolean hasStarted
-
numLearnedOutputs
int numLearnedOutputs
-
sumError
double[] sumError
-
weightSeen
double weightSeen
-
-
Class moa.classifiers.rules.multilabel.errormeasurers.RelativeMeanAbsoluteDeviationMT extends AbstractMultiTargetErrorMeasurer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
hasStarted
boolean hasStarted
-
numLearnedOutputs
int numLearnedOutputs
-
sumError
double[] sumError
-
sumErrorToTargetMean
double[] sumErrorToTargetMean
-
sumY
double[] sumY
-
weightSeen
double weightSeen
-
-
Class moa.classifiers.rules.multilabel.errormeasurers.RelativeRootMeanSquaredErrorMT extends AbstractMultiTargetErrorMeasurer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
hasStarted
boolean hasStarted
-
numLearnedOutputs
int numLearnedOutputs
-
sumSquaredError
double[] sumSquaredError
-
sumSquaredErrorToTargetMean
double[] sumSquaredErrorToTargetMean
-
sumY
double[] sumY
-
weightSeen
double weightSeen
-
-
Class moa.classifiers.rules.multilabel.errormeasurers.RootMeanSquaredErrorMT extends AbstractMultiTargetErrorMeasurer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
hasStarted
boolean hasStarted
-
numLearnedOutputs
int numLearnedOutputs
-
sumSquaredError
double[] sumSquaredError
-
weightSeen
double weightSeen
-
-
-
Package moa.classifiers.rules.multilabel.functions
-
Class moa.classifiers.rules.multilabel.functions.AbstractAMRulesFunctionBasicMlLearner extends BasicMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.functions.AdaptiveMultiTargetRegressor extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearner
MultiTargetRegressor[] baseLearner
-
baseLearnerOption1
ClassOption baseLearnerOption1
-
baseLearnerOption2
ClassOption baseLearnerOption2
-
errorMeasurer
MultiTargetErrorMeasurer[] errorMeasurer
-
errorMeasurerOption
ClassOption errorMeasurerOption
-
hasStarted
boolean hasStarted
-
randomSeedOption
IntOption randomSeedOption
-
-
Class moa.classifiers.rules.multilabel.functions.DominantLabelsClassifier extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
countVector
double[] countVector
-
numInstances
double numInstances
-
-
Class moa.classifiers.rules.multilabel.functions.MultiLabelNaiveBayes extends AbstractAMRulesFunctionBasicMlLearner implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.functions.MultiLabelPerceptronClassification extends AbstractAMRulesFunctionBasicMlLearner implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.functions.MultiTargetMeanRegressor extends AbstractAMRulesFunctionBasicMlLearner implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.functions.MultiTargetPerceptronRegressor extends AbstractAMRulesFunctionBasicMlLearner implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.functions.StackedPredictor extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
constantLearningRatioDecayOption
FlagOption constantLearningRatioDecayOption
-
count
double count
-
currentLearningRate
double currentLearningRate
-
hasStarted
boolean hasStarted
-
inAttrSquaredSum
double[] inAttrSquaredSum
-
inAttrSum
double[] inAttrSum
-
layer1Weights
double[][] layer1Weights
-
layer2Weights
double[][] layer2Weights
-
learningRateDecayOption
FloatOption learningRateDecayOption
-
learningRatio2ndLayerOption
FloatOption learningRatio2ndLayerOption
-
learningRatioOption
FloatOption learningRatioOption
-
numericIndices
LinkedList<Integer> numericIndices
-
outAttrSquaredSum
double[] outAttrSquaredSum
-
outAttrSum
double[] outAttrSum
-
printWeightsOption
FlagOption printWeightsOption
-
randomSeedOption
IntOption randomSeedOption
-
SD_THRESHOLD
double SD_THRESHOLD
-
skipStackingOption
FlagOption skipStackingOption
-
-
-
Package moa.classifiers.rules.multilabel.inputselectors
-
Class moa.classifiers.rules.multilabel.inputselectors.MeritThreshold extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
percentageThresholdOption
FloatOption percentageThresholdOption
-
-
Class moa.classifiers.rules.multilabel.inputselectors.SelectAllInputs extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.rules.multilabel.instancetransformers
-
Class moa.classifiers.rules.multilabel.instancetransformers.InstanceAttributesSelector extends InstanceOutputAttributesSelector implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numSourceInstancesOutputs
int numSourceInstancesOutputs
-
targetInputIndices
int[] targetInputIndices
-
targetInstances
InstancesHeader targetInstances
-
targetOutputIndices
int[] targetOutputIndices
-
-
Class moa.classifiers.rules.multilabel.instancetransformers.InstanceOutputAttributesSelector extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numSourceInstancesOutputs
int numSourceInstancesOutputs
-
targetInstances
InstancesHeader targetInstances
-
targetOutputIndices
int[] targetOutputIndices
-
-
Class moa.classifiers.rules.multilabel.instancetransformers.NoInstanceTransformation extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.classifiers.rules.multilabel.meta
-
Class moa.classifiers.rules.multilabel.meta.MultiLabelRandomAMRules extends AbstractMultiLabelLearner implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseLearnerOption
ClassOption baseLearnerOption
-
ensemble
AMRulesMultiLabelLearner[] ensemble
-
ensembleSizeOption
IntOption ensembleSizeOption
-
errorMeasurer
MultiLabelErrorMeasurer[] errorMeasurer
-
errorMeasurerOption
ClassOption errorMeasurerOption
-
featureRanking
FeatureRanking featureRanking
-
featureRankingOption
ClassOption featureRankingOption
-
isRegression
boolean isRegression
-
nAttributes
int nAttributes
-
numAttributesPercentageOption
FloatOption numAttributesPercentageOption
-
randomSeedOption
IntOption randomSeedOption
-
useBaggingOption
FlagOption useBaggingOption
-
VerbosityOption
IntOption VerbosityOption
-
votingFunctionOption
ClassOption votingFunctionOption
-
votingTypeOption
MultiChoiceOption votingTypeOption
-
-
-
Package moa.classifiers.rules.multilabel.outputselectors
-
Class moa.classifiers.rules.multilabel.outputselectors.EntropyThreshold extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
thresholdOption
FloatOption thresholdOption
-
-
Class moa.classifiers.rules.multilabel.outputselectors.SelectAllOutputs extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.rules.multilabel.outputselectors.StdDevThreshold extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
thresholdOption
FloatOption thresholdOption
-
-
Class moa.classifiers.rules.multilabel.outputselectors.VarianceThreshold extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
thresholdOption
FloatOption thresholdOption
-
-
-
Package moa.classifiers.trees
-
Class moa.classifiers.trees.AdaHoeffdingOptionTree extends HoeffdingOptionTree implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.AdaHoeffdingOptionTree.AdaLearningNode extends HoeffdingOptionTree.LearningNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alpha
double alpha
-
CorrectWeight
double CorrectWeight
-
mcCorrectWeight
double mcCorrectWeight
-
nbCorrectWeight
double nbCorrectWeight
-
-
Class moa.classifiers.trees.ARFFIMTDD extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTreeFadingFactorOption
FloatOption alternateTreeFadingFactorOption
-
alternateTreeTimeOption
IntOption alternateTreeTimeOption
-
alternateTreeTMinOption
IntOption alternateTreeTMinOption
-
examplesSeen
double examplesSeen
-
gracePeriodOption
IntOption gracePeriodOption
-
leafNodeCount
int leafNodeCount
-
learningRateDecayFactorOption
FloatOption learningRateDecayFactorOption
-
learningRatioConstOption
FlagOption learningRatioConstOption
-
learningRatioOption
FloatOption learningRatioOption
-
maxID
int maxID
-
PageHinckleyAlphaOption
FloatOption PageHinckleyAlphaOption
-
PageHinckleyThresholdOption
IntOption PageHinckleyThresholdOption
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCriterionOption
ClassOption splitCriterionOption
-
splitNodeCount
int splitNodeCount
-
subspaceSizeOption
IntOption subspaceSizeOption
-
sumOfAttrSquares
DoubleVector sumOfAttrSquares
-
sumOfAttrValues
DoubleVector sumOfAttrValues
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tieThresholdOption
FloatOption tieThresholdOption
-
treeRoot
ARFFIMTDD.Node treeRoot
-
-
Class moa.classifiers.trees.ARFFIMTDD.FIMTDDPerceptron extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
instancesSeen
double instancesSeen
-
reset
boolean reset
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tree
ARFFIMTDD tree
-
weightAttribute
DoubleVector weightAttribute
-
-
Class moa.classifiers.trees.ARFFIMTDD.InnerNode extends ARFFIMTDD.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
AutoExpandVector<ARFFIMTDD.Node> children
-
lossExamplesSeen
double lossExamplesSeen
-
lossFadedSumAlternate
double lossFadedSumAlternate
-
lossFadedSumOriginal
double lossFadedSumOriginal
-
lossNumQiTests
double lossNumQiTests
-
lossSumQi
double lossSumQi
-
PHmin
double PHmin
-
PHsum
double PHsum
-
previousWeight
double previousWeight
-
-
Class moa.classifiers.trees.ARFFIMTDD.LeafNode extends ARFFIMTDD.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<FIMTDDNumericAttributeClassObserver> attributeObservers
-
examplesSeenAtLastSplitEvaluation
double examplesSeenAtLastSplitEvaluation
-
learningModel
ARFFIMTDD.FIMTDDPerceptron learningModel
-
listAttributes
int[] listAttributes
-
numAttributes
int numAttributes
-
-
Class moa.classifiers.trees.ARFFIMTDD.Node extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTree
ARFFIMTDD.Node alternateTree
-
changeDetection
boolean changeDetection
-
examplesSeen
double examplesSeen
-
ID
int ID
-
originalNode
ARFFIMTDD.Node originalNode
-
parent
ARFFIMTDD.Node parent
-
sumOfAbsErrors
double sumOfAbsErrors
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tree
ARFFIMTDD tree
-
-
Class moa.classifiers.trees.ARFFIMTDD.SplitNode extends ARFFIMTDD.InnerNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
splitTest
InstanceConditionalTest splitTest
-
-
Class moa.classifiers.trees.ARFHoeffdingTree extends HoeffdingTree implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
subspaceSizeOption
IntOption subspaceSizeOption
-
-
Class moa.classifiers.trees.ARFHoeffdingTree.LearningNodeNB extends ARFHoeffdingTree.RandomLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.ARFHoeffdingTree.LearningNodeNBAdaptive extends ARFHoeffdingTree.LearningNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
mcCorrectWeight
double mcCorrectWeight
-
nbCorrectWeight
double nbCorrectWeight
-
-
Class moa.classifiers.trees.ARFHoeffdingTree.RandomLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
listAttributes
int[] listAttributes
-
numAttributes
int numAttributes
-
-
Class moa.classifiers.trees.ASHoeffdingTree extends HoeffdingTree implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
maxSize
int maxSize
-
resetTree
boolean resetTree
-
-
Class moa.classifiers.trees.DecisionStump extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<AttributeClassObserver> attributeObservers
-
bestSplit
AttributeSplitSuggestion bestSplit
-
binarySplitsOption
FlagOption binarySplitsOption
-
gracePeriodOption
IntOption gracePeriodOption
-
observedClassDistribution
DoubleVector observedClassDistribution
-
splitCriterionOption
ClassOption splitCriterionOption
-
weightSeenAtLastSplit
double weightSeenAtLastSplit
-
-
Class moa.classifiers.trees.EFDT extends AbstractClassifier implements Serializable
- serialVersionUID:
- 2L
-
Serialized Fields
-
activeLeafByteSizeEstimate
double activeLeafByteSizeEstimate
-
activeLeafNodeCount
int activeLeafNodeCount
-
binarySplitsOption
FlagOption binarySplitsOption
-
byteSizeEstimateOverheadFraction
double byteSizeEstimateOverheadFraction
-
decisionNodeCount
int decisionNodeCount
-
gracePeriodOption
IntOption gracePeriodOption
-
growthAllowed
boolean growthAllowed
-
inactiveLeafByteSizeEstimate
double inactiveLeafByteSizeEstimate
-
inactiveLeafNodeCount
int inactiveLeafNodeCount
-
leafpredictionOption
MultiChoiceOption leafpredictionOption
-
maxByteSizeOption
IntOption maxByteSizeOption
-
memoryEstimatePeriodOption
IntOption memoryEstimatePeriodOption
-
nbThresholdOption
IntOption nbThresholdOption
-
nominalEstimatorOption
ClassOption nominalEstimatorOption
-
noPrePruneOption
FlagOption noPrePruneOption
-
numericEstimatorOption
ClassOption numericEstimatorOption
-
numInstances
int numInstances
-
reEvalPeriodOption
IntOption reEvalPeriodOption
-
removePoorAttsOption
FlagOption removePoorAttsOption
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCount
int splitCount
-
splitCriterionOption
ClassOption splitCriterionOption
-
stopMemManagementOption
FlagOption stopMemManagementOption
-
tieThresholdOption
FloatOption tieThresholdOption
-
treeRoot
EFDT.Node treeRoot
-
-
Class moa.classifiers.trees.EFDT.ActiveLearningNode extends EFDT.LearningNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<AttributeClassObserver> attributeObservers
-
isInitialized
boolean isInitialized
-
weightSeenAtLastSplitEvaluation
double weightSeenAtLastSplitEvaluation
-
-
Class moa.classifiers.trees.EFDT.EFDTLearningNode extends EFDT.LearningNodeNBAdaptive implements Serializable
- serialVersionUID:
- -2525042202040084035L
-
Serialized Fields
-
isRoot
boolean isRoot
-
parent
EFDT.EFDTSplitNode parent
-
-
Class moa.classifiers.trees.EFDT.EFDTSplitNode extends EFDT.SplitNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<AttributeClassObserver> attributeObservers
-
isRoot
boolean isRoot
-
parent
EFDT.EFDTSplitNode parent
-
-
Class moa.classifiers.trees.EFDT.InactiveLearningNode extends EFDT.LearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.EFDT.LearningNode extends EFDT.Node implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.EFDT.LearningNodeNB extends EFDT.ActiveLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.EFDT.LearningNodeNBAdaptive extends EFDT.LearningNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
mcCorrectWeight
double mcCorrectWeight
-
nbCorrectWeight
double nbCorrectWeight
-
-
Class moa.classifiers.trees.EFDT.Node extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
classDistributionAtTimeOfCreation
DoubleVector classDistributionAtTimeOfCreation
-
infogainSum
HashMap<Integer,Double> infogainSum
-
nodeTime
int nodeTime
-
numSplitAttempts
int numSplitAttempts
-
observedClassDistribution
DoubleVector observedClassDistribution
-
usedNominalAttributes
List<Integer> usedNominalAttributes
-
-
Class moa.classifiers.trees.EFDT.SplitNode extends EFDT.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
AutoExpandVector<EFDT.Node> children
-
splitTest
InstanceConditionalTest splitTest
-
-
Class moa.classifiers.trees.FIMTDD extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTreeFadingFactorOption
FloatOption alternateTreeFadingFactorOption
-
alternateTreeTimeOption
IntOption alternateTreeTimeOption
-
alternateTreeTMinOption
IntOption alternateTreeTMinOption
-
examplesSeen
double examplesSeen
-
gracePeriodOption
IntOption gracePeriodOption
-
leafNodeCount
int leafNodeCount
-
learningRateDecayFactorOption
FloatOption learningRateDecayFactorOption
-
learningRatioConstOption
FlagOption learningRatioConstOption
-
learningRatioOption
FloatOption learningRatioOption
-
maxID
int maxID
-
PageHinckleyAlphaOption
FloatOption PageHinckleyAlphaOption
-
PageHinckleyThresholdOption
IntOption PageHinckleyThresholdOption
-
regressionTreeOption
FlagOption regressionTreeOption
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCriterionOption
ClassOption splitCriterionOption
-
splitNodeCount
int splitNodeCount
-
sumOfAttrSquares
DoubleVector sumOfAttrSquares
-
sumOfAttrValues
DoubleVector sumOfAttrValues
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tieThresholdOption
FloatOption tieThresholdOption
-
treeRoot
FIMTDD.Node treeRoot
-
-
Class moa.classifiers.trees.FIMTDD.FIMTDDPerceptron extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
instancesSeen
double instancesSeen
-
reset
boolean reset
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tree
FIMTDD tree
-
weightAttribute
DoubleVector weightAttribute
-
-
Class moa.classifiers.trees.FIMTDD.InnerNode extends FIMTDD.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
AutoExpandVector<FIMTDD.Node> children
-
lossExamplesSeen
double lossExamplesSeen
-
lossFadedSumAlternate
double lossFadedSumAlternate
-
lossFadedSumOriginal
double lossFadedSumOriginal
-
lossNumQiTests
double lossNumQiTests
-
lossSumQi
double lossSumQi
-
PHmin
double PHmin
-
PHsum
double PHsum
-
previousWeight
double previousWeight
-
-
Class moa.classifiers.trees.FIMTDD.LeafNode extends FIMTDD.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<FIMTDDNumericAttributeClassObserver> attributeObservers
-
examplesSeenAtLastSplitEvaluation
double examplesSeenAtLastSplitEvaluation
-
learningModel
FIMTDD.FIMTDDPerceptron learningModel
-
-
Class moa.classifiers.trees.FIMTDD.Node extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTree
FIMTDD.Node alternateTree
-
changeDetection
boolean changeDetection
-
examplesSeen
double examplesSeen
-
ID
int ID
-
originalNode
FIMTDD.Node originalNode
-
parent
FIMTDD.Node parent
-
sumOfAbsErrors
double sumOfAbsErrors
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tree
FIMTDD tree
-
-
Class moa.classifiers.trees.FIMTDD.SplitNode extends FIMTDD.InnerNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
splitTest
InstanceConditionalTest splitTest
-
-
Class moa.classifiers.trees.HoeffdingAdaptiveTree extends HoeffdingTree implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTrees
int alternateTrees
-
prunedAlternateTrees
int prunedAlternateTrees
-
switchedAlternateTrees
int switchedAlternateTrees
-
-
Class moa.classifiers.trees.HoeffdingAdaptiveTree.AdaLearningNode extends HoeffdingTree.LearningNodeNBAdaptive implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.HoeffdingAdaptiveTree.AdaSplitNode extends HoeffdingTree.SplitNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTree
HoeffdingTree.Node alternateTree
-
classifierRandom
Random classifierRandom
-
ErrorChange
boolean ErrorChange
-
estimationErrorWeight
ADWIN estimationErrorWeight
-
randomSeed
int randomSeed
-
-
Class moa.classifiers.trees.HoeffdingAdaptiveTreeClassifLeaves extends HoeffdingAdaptiveTree implements Serializable
-
Serialized Fields
-
leaveLearnerOption
ClassOption leaveLearnerOption
-
-
-
Class moa.classifiers.trees.HoeffdingAdaptiveTreeClassifLeaves.LearningNodeHATClassifier extends HoeffdingAdaptiveTree.AdaLearningNode implements Serializable
-
Serialized Fields
-
classifier
Classifier classifier
-
-
-
Class moa.classifiers.trees.HoeffdingOptionTree extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
activeLeafByteSizeEstimate
double activeLeafByteSizeEstimate
-
activeLeafNodeCount
int activeLeafNodeCount
-
binarySplitsOption
FlagOption binarySplitsOption
-
byteSizeEstimateOverheadFraction
double byteSizeEstimateOverheadFraction
-
decisionNodeCount
int decisionNodeCount
-
dumpFileOption
FileOption dumpFileOption
-
gracePeriodOption
IntOption gracePeriodOption
-
inactiveLeafByteSizeEstimate
double inactiveLeafByteSizeEstimate
-
inactiveLeafNodeCount
int inactiveLeafNodeCount
-
leafpredictionOption
MultiChoiceOption leafpredictionOption
-
maxByteSizeOption
IntOption maxByteSizeOption
-
maxOptionPathsOption
IntOption maxOptionPathsOption
-
maxPredictionPaths
int maxPredictionPaths
-
memoryEstimatePeriodOption
IntOption memoryEstimatePeriodOption
-
memoryStrategyOption
IntOption memoryStrategyOption
-
nbThresholdOption
IntOption nbThresholdOption
-
nominalEstimatorOption
ClassOption nominalEstimatorOption
-
noPrePruneOption
FlagOption noPrePruneOption
-
numericEstimatorOption
ClassOption numericEstimatorOption
-
removePoorAttsOption
FlagOption removePoorAttsOption
-
secondarySplitConfidenceOption
FloatOption secondarySplitConfidenceOption
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCriterionOption
ClassOption splitCriterionOption
-
tieThresholdOption
FloatOption tieThresholdOption
-
treeRoot
HoeffdingOptionTree.Node treeRoot
-
-
Class moa.classifiers.trees.HoeffdingOptionTree.ActiveLearningNode extends HoeffdingOptionTree.LearningNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<AttributeClassObserver> attributeObservers
-
weightSeenAtLastSplitEvaluation
double weightSeenAtLastSplitEvaluation
-
-
Class moa.classifiers.trees.HoeffdingOptionTree.InactiveLearningNode extends HoeffdingOptionTree.LearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.HoeffdingOptionTree.LearningNode extends HoeffdingOptionTree.Node implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.HoeffdingOptionTree.LearningNodeNB extends HoeffdingOptionTree.ActiveLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.HoeffdingOptionTree.LearningNodeNBAdaptive extends HoeffdingOptionTree.LearningNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
mcCorrectWeight
double mcCorrectWeight
-
nbCorrectWeight
double nbCorrectWeight
-
-
Class moa.classifiers.trees.HoeffdingOptionTree.Node extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
observedClassDistribution
DoubleVector observedClassDistribution
-
-
Class moa.classifiers.trees.HoeffdingOptionTree.SplitNode extends HoeffdingOptionTree.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
AutoExpandVector<HoeffdingOptionTree.Node> children
-
nextOption
HoeffdingOptionTree.Node nextOption
-
optionCount
int optionCount
-
parent
HoeffdingOptionTree.SplitNode parent
-
splitTest
InstanceConditionalTest splitTest
-
-
Class moa.classifiers.trees.HoeffdingTree extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
activeLeafByteSizeEstimate
double activeLeafByteSizeEstimate
-
activeLeafNodeCount
int activeLeafNodeCount
-
binarySplitsOption
FlagOption binarySplitsOption
-
byteSizeEstimateOverheadFraction
double byteSizeEstimateOverheadFraction
-
decisionNodeCount
int decisionNodeCount
-
gracePeriodOption
IntOption gracePeriodOption
-
growthAllowed
boolean growthAllowed
-
inactiveLeafByteSizeEstimate
double inactiveLeafByteSizeEstimate
-
inactiveLeafNodeCount
int inactiveLeafNodeCount
-
leafpredictionOption
MultiChoiceOption leafpredictionOption
-
maxByteSizeOption
IntOption maxByteSizeOption
-
memoryEstimatePeriodOption
IntOption memoryEstimatePeriodOption
-
nbThresholdOption
IntOption nbThresholdOption
-
nominalEstimatorOption
ClassOption nominalEstimatorOption
-
noPrePruneOption
FlagOption noPrePruneOption
-
numericEstimatorOption
ClassOption numericEstimatorOption
-
removePoorAttsOption
FlagOption removePoorAttsOption
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCriterionOption
ClassOption splitCriterionOption
-
stopMemManagementOption
FlagOption stopMemManagementOption
-
tieThresholdOption
FloatOption tieThresholdOption
-
treeRoot
HoeffdingTree.Node treeRoot
-
-
Class moa.classifiers.trees.HoeffdingTree.ActiveLearningNode extends HoeffdingTree.LearningNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<AttributeClassObserver> attributeObservers
-
isInitialized
boolean isInitialized
-
weightSeenAtLastSplitEvaluation
double weightSeenAtLastSplitEvaluation
-
-
Class moa.classifiers.trees.HoeffdingTree.InactiveLearningNode extends HoeffdingTree.LearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.HoeffdingTree.LearningNode extends HoeffdingTree.Node implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.HoeffdingTree.LearningNodeNB extends HoeffdingTree.ActiveLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.HoeffdingTree.LearningNodeNBAdaptive extends HoeffdingTree.LearningNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
mcCorrectWeight
double mcCorrectWeight
-
nbCorrectWeight
double nbCorrectWeight
-
-
Class moa.classifiers.trees.HoeffdingTree.Node extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
observedClassDistribution
DoubleVector observedClassDistribution
-
-
Class moa.classifiers.trees.HoeffdingTree.SplitNode extends HoeffdingTree.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
AutoExpandVector<HoeffdingTree.Node> children
-
splitTest
InstanceConditionalTest splitTest
-
-
Class moa.classifiers.trees.HoeffdingTreeClassifLeaves extends HoeffdingTree implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
learnerOption
ClassOption learnerOption
-
-
Class moa.classifiers.trees.HoeffdingTreeClassifLeaves.LearningNodeClassifier extends HoeffdingTree.ActiveLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
classifier
Classifier classifier
-
-
Class moa.classifiers.trees.LimAttHoeffdingTree extends HoeffdingTree implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
listAttributes
int[] listAttributes
-
-
Class moa.classifiers.trees.LimAttHoeffdingTree.LearningNodeNB extends LimAttHoeffdingTree.LimAttLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.LimAttHoeffdingTree.LearningNodeNBAdaptive extends LimAttHoeffdingTree.LearningNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
mcCorrectWeight
double mcCorrectWeight
-
nbCorrectWeight
double nbCorrectWeight
-
-
Class moa.classifiers.trees.LimAttHoeffdingTree.LimAttLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
listAttributes
int[] listAttributes
-
numAttributes
int numAttributes
-
weightSeenAtLastSplitEvaluation
double weightSeenAtLastSplitEvaluation
-
-
Class moa.classifiers.trees.ORTO extends FIMTDD implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
innerNodeCount
int innerNodeCount
-
maxOptionLevelOption
IntOption maxOptionLevelOption
-
maxTreesOption
IntOption maxTreesOption
-
numTrees
int numTrees
-
optionDecayFactorOption
FloatOption optionDecayFactorOption
-
optionFadingFactorOption
FloatOption optionFadingFactorOption
-
optionNodeAggregationOption
MultiChoiceOption optionNodeAggregationOption
-
optionNodeCount
int optionNodeCount
-
-
Class moa.classifiers.trees.ORTO.OptionNode extends FIMTDD.InnerNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
optionFFSeen
double[] optionFFSeen
-
optionFFSSL
double[] optionFFSSL
-
-
Class moa.classifiers.trees.RandomHoeffdingTree extends HoeffdingTree implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.RandomHoeffdingTree.LearningNodeNB extends RandomHoeffdingTree.RandomLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.RandomHoeffdingTree.LearningNodeNBAdaptive extends RandomHoeffdingTree.LearningNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
mcCorrectWeight
double mcCorrectWeight
-
nbCorrectWeight
double nbCorrectWeight
-
-
Class moa.classifiers.trees.RandomHoeffdingTree.RandomLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
listAttributes
int[] listAttributes
-
numAttributes
int numAttributes
-
-
Class moa.classifiers.trees.SelfOptimisingBaseTree extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTreeFadingFactorOption
FloatOption alternateTreeFadingFactorOption
-
alternateTreeTimeOption
IntOption alternateTreeTimeOption
-
alternateTreeTMinOption
IntOption alternateTreeTMinOption
-
examplesSeen
double examplesSeen
-
gracePeriodOption
IntOption gracePeriodOption
-
leafNodeCount
int leafNodeCount
-
leafNodes
ArrayList<SelfOptimisingBaseTree.LeafNode> leafNodes
-
learningRateDecayFactorOption
FloatOption learningRateDecayFactorOption
-
learningRatioConstOption
FlagOption learningRatioConstOption
-
learningRatioOption
FloatOption learningRatioOption
-
maxID
int maxID
-
PageHinckleyAlphaOption
FloatOption PageHinckleyAlphaOption
-
PageHinckleyThresholdOption
IntOption PageHinckleyThresholdOption
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCriterionOption
ClassOption splitCriterionOption
-
splitNodeCount
int splitNodeCount
-
subspaceSizeOption
IntOption subspaceSizeOption
-
sumOfAttrSquares
DoubleVector sumOfAttrSquares
-
sumOfAttrValues
DoubleVector sumOfAttrValues
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tieThresholdOption
FloatOption tieThresholdOption
-
treeRoot
SelfOptimisingBaseTree.Node treeRoot
-
-
Class moa.classifiers.trees.SelfOptimisingBaseTree.FIMTDDPerceptron extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
instancesSeen
double instancesSeen
-
reset
boolean reset
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tree
SelfOptimisingBaseTree tree
-
weightAttribute
DoubleVector weightAttribute
-
-
Class moa.classifiers.trees.SelfOptimisingBaseTree.InnerNode extends SelfOptimisingBaseTree.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
AutoExpandVector<SelfOptimisingBaseTree.Node> children
-
lossExamplesSeen
double lossExamplesSeen
-
lossFadedSumAlternate
double lossFadedSumAlternate
-
lossFadedSumOriginal
double lossFadedSumOriginal
-
lossNumQiTests
double lossNumQiTests
-
lossSumQi
double lossSumQi
-
PHmin
double PHmin
-
PHsum
double PHsum
-
previousWeight
double previousWeight
-
-
Class moa.classifiers.trees.SelfOptimisingBaseTree.LeafNode extends SelfOptimisingBaseTree.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeObservers
AutoExpandVector<FIMTDDNumericAttributeClassObserver> attributeObservers
-
examplesSeenAtLastSplitEvaluation
double examplesSeenAtLastSplitEvaluation
-
learningModel
SelfOptimisingBaseTree.FIMTDDPerceptron learningModel
-
learntInstances
double learntInstances
-
listAttributes
int[] listAttributes
-
numAttributes
int numAttributes
-
sumsForAllAttrs
double[] sumsForAllAttrs
-
-
Class moa.classifiers.trees.SelfOptimisingBaseTree.Node extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternateTree
SelfOptimisingBaseTree.Node alternateTree
-
changeDetection
boolean changeDetection
-
examplesSeen
double examplesSeen
-
ID
int ID
-
originalNode
SelfOptimisingBaseTree.Node originalNode
-
parent
SelfOptimisingBaseTree.Node parent
-
sumOfAbsErrors
double sumOfAbsErrors
-
sumOfSquares
double sumOfSquares
-
sumOfValues
double sumOfValues
-
tree
SelfOptimisingBaseTree tree
-
-
Class moa.classifiers.trees.SelfOptimisingBaseTree.SplitNode extends SelfOptimisingBaseTree.InnerNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
splitTest
InstanceConditionalTest splitTest
-
-
-
Package moa.classifiers.trees.iadem
-
Class moa.classifiers.trees.iadem.Iadem2 extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributeDiferentiation
FloatOption attributeDiferentiation
-
driftDetectionMethodOption
ClassOption driftDetectionMethodOption
-
estimator
AbstractChangeDetector estimator
-
gracePeriodOption
IntOption gracePeriodOption
-
leafPredictionOption
MultiChoiceOption leafPredictionOption
-
naiveBayesLimit
int naiveBayesLimit
-
numberOfInstancesProcessed
int numberOfInstancesProcessed
-
numberOfLeaves
int numberOfLeaves
-
numberOfNodes
int numberOfNodes
-
numericEstimatorOption
ClassOption numericEstimatorOption
-
percentInCommon
double percentInCommon
-
splitConfidenceOption
FloatOption splitConfidenceOption
-
splitCriterionOption
MultiChoiceOption splitCriterionOption
-
splitTestsOption
MultiChoiceOption splitTestsOption
-
treeRoot
Iadem2.Node treeRoot
-
-
Class moa.classifiers.trees.iadem.Iadem2.LeafNode extends Iadem2.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
allAttUsed
boolean allAttUsed
-
instNodeCountSinceReal
long instNodeCountSinceReal
-
instNodeCountSinceVirtual
long instNodeCountSinceVirtual
-
instSeenSinceLastSplitAttempt
double instSeenSinceLastSplitAttempt
-
instTreeCountSinceReal
long instTreeCountSinceReal
-
split
boolean split
-
virtualChildren
AutoExpandVector<Iadem2.VirtualNode> virtualChildren
-
-
Class moa.classifiers.trees.iadem.Iadem2.LeafNodeNB extends Iadem2.LeafNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
naiveBayesLimit
int naiveBayesLimit
-
-
Class moa.classifiers.trees.iadem.Iadem2.LeafNodeNBKirkby extends Iadem2.LeafNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
majorityClassError
int majorityClassError
-
naiveBayesError
int naiveBayesError
-
-
Class moa.classifiers.trees.iadem.Iadem2.LeafNodeWeightedVote extends Iadem2.LeafNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
majorityClassError
AbstractChangeDetector majorityClassError
-
naiveBayesError
AbstractChangeDetector naiveBayesError
-
-
Class moa.classifiers.trees.iadem.Iadem2.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
classValueDist
DoubleVector classValueDist
-
parent
Iadem2.Node parent
-
tree
Iadem2 tree
-
-
Class moa.classifiers.trees.iadem.Iadem2.NominalVirtualNode extends Iadem2.VirtualNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attValueDist
DoubleVector attValueDist
-
nominalAttClassObserver
AutoExpandVector<DoubleVector> nominalAttClassObserver
-
onlyBinaryTest
boolean onlyBinaryTest
-
onlyMultiwayTest
boolean onlyMultiwayTest
-
-
Class moa.classifiers.trees.iadem.Iadem2.NumericVirtualNode extends Iadem2.VirtualNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
bestCutPoint
double bestCutPoint
-
numericAttClassObserver
IademNumericAttributeObserver numericAttClassObserver
-
-
Class moa.classifiers.trees.iadem.Iadem2.SplitNode extends Iadem2.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
AutoExpandVector<Iadem2.Node> children
-
splitTest
InstanceConditionalTest splitTest
-
-
Class moa.classifiers.trees.iadem.Iadem2.VirtualNode extends Iadem2.Node implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attIndex
int attIndex
-
bestSplitSuggestion
IademAttributeSplitSuggestion bestSplitSuggestion
-
heuristicMeasureUpdated
boolean heuristicMeasureUpdated
-
-
Class moa.classifiers.trees.iadem.Iadem3 extends Iadem2 implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
currentSplitState
int currentSplitState
-
deletedTrees
int deletedTrees
-
interchangedTrees
int interchangedTrees
-
lastPrediction
int lastPrediction
-
lastPredictionInLeaf
int lastPredictionInLeaf
-
maxNestingLevelOption
IntOption maxNestingLevelOption
-
maxSubtreesPerNodeOption
IntOption maxSubtreesPerNodeOption
-
numSplitsByBreakingTies
int numSplitsByBreakingTies
-
numTrees
int numTrees
-
restartAtDrift
boolean restartAtDrift
-
SPLIT_BY_TIE_BREAKING
int SPLIT_BY_TIE_BREAKING
-
SPLIT_WITH_CONFIDENCE
int SPLIT_WITH_CONFIDENCE
-
subtreeList
AutoExpandVector<Iadem3Subtree> subtreeList
-
treeLevel
int treeLevel
-
-
Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNode extends Iadem2.LeafNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
estimator
AbstractChangeDetector estimator
-
-
Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNB extends Iadem3.AdaptiveLeafNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
limitNaiveBayes
int limitNaiveBayes
-
-
Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNBAdaptive extends Iadem3.AdaptiveLeafNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
majorityClassError
AbstractChangeDetector majorityClassError
-
naiveBayesError
AbstractChangeDetector naiveBayesError
-
-
Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNBKirkby extends Iadem3.AdaptiveLeafNodeNB implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
majorityClassError
int majorityClassError
-
naiveBayesError
int naiveBayesError
-
-
Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeWeightedVote extends Iadem3.AdaptiveLeafNodeNBAdaptive implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.iadem.Iadem3.AdaptiveNominalVirtualNode extends Iadem2.NominalVirtualNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
estimador
AbstractChangeDetector estimador
-
-
Class moa.classifiers.trees.iadem.Iadem3.AdaptiveNumericVirtualNode extends Iadem2.NumericVirtualNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
altAttClassObserver
IademNumericAttributeObserver altAttClassObserver
-
altClassDist
DoubleVector altClassDist
-
estimator
AbstractChangeDetector estimator
-
-
Class moa.classifiers.trees.iadem.Iadem3.AdaptiveSplitNode extends Iadem2.SplitNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alternativeTree
AutoExpandVector<Iadem3Subtree> alternativeTree
-
causeOfSplit
int causeOfSplit
-
estimator
AbstractChangeDetector estimator
-
leaf
Iadem3.AdaptiveLeafNode leaf
-
-
Class moa.classifiers.trees.iadem.Iadem3Subtree extends Iadem3 implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
errorEstimator
AbstractChangeDetector errorEstimator
-
mainTree
Iadem3 mainTree
-
nodo
Iadem2.Node nodo
-
-
Class moa.classifiers.trees.iadem.IademAttributeSplitSuggestion extends AttributeSplitSuggestion implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
meritLowerBound
double meritLowerBound
-
-
Class moa.classifiers.trees.iadem.IademCommonProcedures extends Object implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.iadem.IademException extends Exception implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.iadem.IademGaussianNumericAttributeClassObserver extends GaussianNumericAttributeClassObserver implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
classDist
DoubleVector classDist
-
valueCount
int valueCount
-
-
Class moa.classifiers.trees.iadem.IademGreenwaldKhannaNumericAttributeClassObserver extends GreenwaldKhannaNumericAttributeClassObserver implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.iadem.IademGreenwaldKhannaQuantileSummary extends GreenwaldKhannaQuantileSummary implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.iadem.IademNominalAttributeBinaryTest extends NominalAttributeBinaryTest implements Serializable
- serialVersionUID:
- 1L
-
Class moa.classifiers.trees.iadem.IademNominalAttributeMultiwayTest extends NominalAttributeMultiwayTest implements Serializable
-
Serialized Fields
-
maxBranches
int maxBranches
-
-
-
Class moa.classifiers.trees.iadem.IademNumericAttributeBinaryTest extends NumericAttributeBinaryTest implements Serializable
-
Class moa.classifiers.trees.iadem.IademSplitCriterion extends 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<IademVFMLNumericAttributeClassObserver.Bin> binList
-
classDist
DoubleVector classDist
-
-
Class moa.classifiers.trees.iadem.IademVFMLNumericAttributeClassObserver.Bin extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
boundaryClass
int boundaryClass
-
boundaryWeight
double boundaryWeight
-
classWeights
DoubleVector classWeights
-
lowerBound
double lowerBound
-
upperBound
double upperBound
-
-
-
Package moa.cluster
-
Class moa.cluster.CFCluster extends SphereCluster implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
LS
double[] LS
Linear sum of all the points added to the cluster. -
N
double N
Number of points in the cluster. -
radiusFactor
double radiusFactor
-
SS
double[] SS
Squared sum of all the points added to the cluster.
-
-
Class moa.cluster.Cluster extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Class moa.cluster.Clustering extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
clusters
AutoExpandVector<Cluster> clusters
-
-
-
Class moa.cluster.SphereCluster extends Cluster implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
center
double[] center
-
radius
double radius
-
weight
double weight
-
-
-
Package moa.clusterers
-
Class moa.clusterers.AbstractClusterer extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
clustererRandom
Random clustererRandom
-
clustering
Clustering clustering
-
evaluateMicroClusteringOption
FlagOption evaluateMicroClusteringOption
-
modelContext
InstancesHeader modelContext
-
randomSeed
int randomSeed
-
randomSeedOption
IntOption randomSeedOption
-
trainingWeightSeenByModel
double trainingWeightSeenByModel
-
-
-
Class moa.clusterers.ClusterGenerator extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
clusterAddOption
FloatOption clusterAddOption
-
clusterRemoveOption
FloatOption clusterRemoveOption
-
instanceCounter
int instanceCounter
-
joinClustersOption
FloatOption joinClustersOption
-
points
ArrayList<DataPoint> points
-
positionOffsetOption
FloatOption positionOffsetOption
-
radiusDecreaseOption
FloatOption radiusDecreaseOption
-
radiusIncreaseOption
FloatOption radiusIncreaseOption
-
random
Random random
-
sourceClustering
Clustering sourceClustering
-
timeWindowOption
IntOption timeWindowOption
-
windowCounter
int windowCounter
-
-
Class moa.clusterers.CobWeb extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
acuityOption
FloatOption acuityOption
-
cutoffOption
FloatOption cutoffOption
-
m_acuity
double m_acuity
Acuity (minimum standard deviation). -
m_cobwebTree
moa.clusterers.CobWeb.CNode m_cobwebTree
Holds the root of the Cobweb tree. -
m_cutoff
double m_cutoff
Cutoff (minimum category utility). -
m_numberMerges
int m_numberMerges
the number of merges that happened -
m_numberOfClusters
int m_numberOfClusters
Number of clusters (nodes in the tree). Must never be queried directly, only via the method numberOfClusters(). Otherwise it's not guaranteed that it contains the correct value. -
m_numberOfClustersDetermined
boolean m_numberOfClustersDetermined
whether the number of clusters was already determined -
m_numberSplits
int m_numberSplits
the number of splits that happened -
m_saveInstances
boolean m_saveInstances
Output instances in graph representation of Cobweb tree (Allows instances at nodes in the tree to be visualized in the Explorer). -
randomSeedOption
IntOption randomSeedOption
-
-
Class moa.clusterers.WekaClusteringAlgorithm extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
clusterer
weka.clusterers.AbstractClusterer clusterer
-
clustererClasses
Class<?>[] clustererClasses
-
horizonOption
IntOption horizonOption
-
instanceConverter
SamoaToWekaInstanceConverter instanceConverter
-
instances
Instances instances
-
parameterOption
StringOption parameterOption
-
wekaAlgorithmOption
MultiChoiceOption wekaAlgorithmOption
-
-
-
Package moa.clusterers.clustream
-
Class moa.clusterers.clustream.Clustream extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
buffer
List<ClustreamKernel> buffer
-
bufferSize
int bufferSize
-
initialized
boolean initialized
-
kernelRadiFactorOption
IntOption kernelRadiFactorOption
-
kernels
ClustreamKernel[] kernels
-
m
int m
-
maxNumKernelsOption
IntOption maxNumKernelsOption
-
t
double t
-
timestamp
long timestamp
-
timeWindow
int timeWindow
-
timeWindowOption
IntOption timeWindowOption
-
-
Class moa.clusterers.clustream.ClustreamKernel extends CFCluster implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
LST
double LST
-
m
int m
-
SST
double SST
-
t
double t
-
-
Class moa.clusterers.clustream.WithKmeans extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
buffer
List<ClustreamKernel> buffer
-
bufferSize
int bufferSize
-
initialized
boolean initialized
-
kernelRadiFactorOption
IntOption kernelRadiFactorOption
-
kernels
ClustreamKernel[] kernels
-
kOption
IntOption kOption
-
m
int m
-
maxNumKernelsOption
IntOption maxNumKernelsOption
-
t
double t
-
timestamp
long timestamp
-
timeWindow
int timeWindow
-
timeWindowOption
IntOption timeWindowOption
-
-
-
Package moa.clusterers.clustree
-
Class moa.clusterers.clustree.ClusKernel extends CFCluster implements Serializable
-
Serialized Fields
-
totalN
double totalN
Counting of the number of N as normal N is weighted by how much time passes between updates. If weighted N is under a threshhold, we may consider the cluster irrelevant and we can delete it.
-
-
-
Class moa.clusterers.clustree.ClusTree extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alsoUpdate
Entry alsoUpdate
-
breadthFirstStrat
boolean breadthFirstStrat
Parameter to determine wich strategy to use -
breadthFirstStrategyOption
FlagOption breadthFirstStrategyOption
-
height
int height
The current height of the tree. Should always be smaller than maxHeight. -
horizonOption
IntOption horizonOption
-
maxHeight
int maxHeight
The maximal height of the tree. -
maxHeightOption
IntOption maxHeightOption
-
negLambda
double negLambda
Parameter for the weighting function use to weight the entries. -
numberDimensions
int numberDimensions
Dimensionality of the data points managed by this tree. -
numberInsertions
int numberInsertions
Number of points inserted into the tree. -
numRootSplits
int numRootSplits
This variable is used to keep the inverse height that is stored in every node correct. -
root
Node root
The root node of the tree. -
timestamp
long timestamp
-
weightThreshold
double weightThreshold
The threshold for the weighting of an Entry. An Entry is irrelevant, if it is in a leaf and the weightedN of the data Cluster is smaller than this threshold.- See Also:
Entry.data
-
-
Class moa.clusterers.clustree.Entry extends Object implements Serializable
-
Serialized Fields
-
buffer
ClusKernel buffer
The buffer of this entry. It can also be seen as the buffer of the child node, it is here just to simplify the insertion recuersion. -
child
Node child
A reference to the next node in the tree.null
if we are at a leaf, or this is an entry is part of a lyingNode
. -
data
ClusKernel data
The actual entry data. -
node
Node node
A reference to the Node, that contains this Entry -
parentEntry
Entry parentEntry
A reference to the Entry's parent Entry -
timestamp
long timestamp
Last time this entry was changed.
-
-
-
Class moa.clusterers.clustree.Node extends Object implements Serializable
-
Serialized Fields
-
entries
Entry[] entries
The children of this node. -
level
int level
The depth at which thisNode
is in the tree. -
NUMBER_ENTRIES
int NUMBER_ENTRIES
-
-
-
-
Package moa.clusterers.denstream
-
Class moa.clusterers.denstream.MicroCluster extends CFCluster implements Serializable
-
Serialized Fields
-
creationTimestamp
long creationTimestamp
-
currentTimestamp
Timestamp currentTimestamp
-
lambda
double lambda
-
lastEditT
long lastEditT
-
-
-
Class moa.clusterers.denstream.Timestamp extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
timestamp
long timestamp
-
-
-
Class moa.clusterers.denstream.WithDBSCAN extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
beta
double beta
-
betaOption
FloatOption betaOption
-
currentTimestamp
Timestamp currentTimestamp
-
epsilon
double epsilon
-
epsilonOption
FloatOption epsilonOption
-
horizonOption
IntOption horizonOption
-
initBuffer
ArrayList<moa.clusterers.denstream.WithDBSCAN.DenPoint> initBuffer
-
initialized
boolean initialized
-
initPointsOption
IntOption initPointsOption
-
lambda
double lambda
-
lambdaOption
FloatOption lambdaOption
-
minPoints
int minPoints
-
mu
double mu
-
muOption
FloatOption muOption
-
numInitPoints
int numInitPoints
-
numProcessedPerUnit
int numProcessedPerUnit
-
o_micro_cluster
Clustering o_micro_cluster
-
offlineOption
FloatOption offlineOption
-
p_micro_cluster
Clustering p_micro_cluster
-
processingSpeed
int processingSpeed
-
speedOption
IntOption speedOption
-
timestamp
long timestamp
-
tp
long tp
-
weightThreshold
double weightThreshold
-
-
-
Package moa.clusterers.dstream
-
Class moa.clusterers.dstream.DensityGrid extends CFCluster implements Serializable
- serialVersionUID:
- 7527683701564950206L
-
Serialized Fields
-
coordinates
int[] coordinates
For each dimension, its space Si, i =1, ··· ,d is divided into pi partitions as Si = Si,1 U Si,2 U ··· U Si,pi A density grid g that is composed of S1,j1 ×S2,j2 ···×Sd,jd , ji =1, ...,pi, has coordinates (j1,j2, ··· ,jd). -
dimensions
int dimensions
The value of 'd' for the d-dimensional space S considered by D-Stream. -
isVisited
boolean isVisited
Flag denoting whether this density grid has been inspected during the adjustClustering() step of D-Stream.
-
-
Class moa.clusterers.dstream.Dstream extends AbstractClusterer implements Serializable
- serialVersionUID:
- 8759754409276716725L
-
Serialized Fields
-
beta
double beta
User defined parameter: Adjusts the window of protection for renaming previously deleted grids as being sporadic -
betaOption
FloatOption betaOption
-
cl
double cl
User defined parameter: Controls the threshold for sparse grids -
clOption
FloatOption clOption
-
cluster_list
ArrayList<GridCluster> cluster_list
A list of all Grid Clusters, which are defined in Definition 3.6 of Chen and Tu 2007 -
cm
double cm
User defined parameter: Controls the threshold for dense grids -
cmOption
FloatOption cmOption
-
currTime
int currTime
The data stream's current internal time. Starts at 0. -
d
int d
The number of dimensions in the data stream; defined in section 3.1 of Chen and Tu 2007 -
decayFactor
double decayFactor
User defined parameter, represented as lambda in Chen and Tu 2007 -
decayFactorOption
FloatOption decayFactorOption
-
deleted_grids
HashMap<DensityGrid,Integer> deleted_grids
A list of all density grids which have been deleted; allows the recording of tm - the last time when the grid is removed from grid list as a sporadic grid (if ever). -
dl
double dl
Density threshold for sparse grids; controlled by cl; given in eq 9 of Chen and Tu 2007- See Also:
Dstream.cl
-
dm
double dm
Density threshold for dense grids; controlled by cm; given in eq 8 of Chen and Tu 2007- See Also:
Dstream.cm
-
gap
int gap
User defined parameter: Time gap between calls to the offline component -
grid_list
HashMap<DensityGrid,CharacteristicVector> grid_list
A list of all density grids which are being monitored; given in figure 1 of Chen and Tu 2007 -
initialized
boolean initialized
True if initialization of D-Stream is complete, false otherwise -
maxVals
int[] maxVals
The maximum value seen for a numerical dimension; used to calculate N- See Also:
Dstream.N
-
minVals
int[] minVals
The minimum value seen for a numerical dimension; used to calculate N- See Also:
Dstream.N
-
N
int N
The number of density grids; defined after eq 2 in Chen and Tu 2007 -
newClusterList
ArrayList<GridCluster> newClusterList
A list of grid clusters used when reclustering an existing cluster.
-
-
Class moa.clusterers.dstream.GridCluster extends NonConvexCluster implements Serializable
- serialVersionUID:
- -6498733665209706370L
-
Serialized Fields
-
clusterLabel
int clusterLabel
-
grids
HashMap<DensityGrid,Boolean> grids
-
visited
HashMap<DensityGrid,Boolean> visited
-
-
-
Package moa.clusterers.kmeanspm
-
Class moa.clusterers.kmeanspm.BICO extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
buffer
List<double[]> buffer
-
bufferPhase
boolean bufferPhase
-
maxNumClusterFeatures
int maxNumClusterFeatures
-
maxNumClusterFeaturesOption
IntOption maxNumClusterFeaturesOption
-
minDistance
double minDistance
-
numClusters
int numClusters
-
numClustersOption
IntOption numClustersOption
-
numDimensions
int numDimensions
-
numDimensionsOption
IntOption numDimensionsOption
-
numProjections
int numProjections
-
numProjectionsOption
IntOption numProjectionsOption
-
pairwiseDifferent
int pairwiseDifferent
-
root
ClusteringTreeNode root
-
rootCount
int rootCount
-
T
double T
-
-
Class moa.clusterers.kmeanspm.ClusteringFeature extends SphereCluster implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numPoints
int numPoints
-
sumPoints
double[] sumPoints
-
sumSquaredLength
double sumSquaredLength
-
-
Class moa.clusterers.kmeanspm.ClusteringTreeHeadNode extends ClusteringTreeNode implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
buckets
List<CuckooHashing<List<ClusteringTreeNode>>> buckets
-
numProjections
int numProjections
-
projections
List<double[]> projections
-
-
Class moa.clusterers.kmeanspm.ClusteringTreeNode extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
center
double[] center
-
children
List<ClusteringTreeNode> children
-
clusteringFeature
ClusteringFeature clusteringFeature
-
-
-
Package moa.clusterers.macro
-
Class moa.clusterers.macro.NonConvexCluster extends CFCluster implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.clusterers.meta
-
Class moa.clusterers.meta.ConfStream extends EnsembleClustererAbstract implements Serializable
- serialVersionUID:
- 1L
-
Class moa.clusterers.meta.EnsembleClustererAbstract extends AbstractClusterer implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
ARFregs
HashMap<String,AdaptiveRandomForestRegressor> ARFregs
-
bestModel
int bestModel
-
candidateEnsemble
ArrayList<Algorithm> candidateEnsemble
-
ensemble
ArrayList<Algorithm> ensemble
-
executor
ExecutorService executor
-
fileOption
FileOption fileOption
-
instancesSeen
int instancesSeen
-
iter
int iter
-
iteration
int iteration
-
numberOfCores
int numberOfCores
-
performanceMeasures
ArrayList<Double> performanceMeasures
-
settings
moa.clusterers.meta.GeneralConfiguration settings
-
verbose
int verbose
-
windowPoints
ArrayList<DataPoint> windowPoints
-
-
-
Package moa.clusterers.outliers
-
Class moa.clusterers.outliers.MyBaseOutlierDetector extends AbstractClusterer implements Serializable
-
Serialized Fields
-
_msNow
Long _msNow
-
_msPrev
Long _msPrev
-
bShowProgress
boolean bShowProgress
-
bStopAlgorithm
boolean bStopAlgorithm
-
bTrace
boolean bTrace
-
iMaxMemUsage
int iMaxMemUsage
-
m_timePreObjSum
Long m_timePreObjSum
-
myClusters
Clustering myClusters
-
myOut
MyBaseOutlierDetector.PrintMsg myOut
-
myProgressInfo
MyBaseOutlierDetector.ProgressInfo myProgressInfo
-
nProcessed
int nProcessed
-
nRangeQueriesExecuted
int nRangeQueriesExecuted
-
nTimePerObj
double nTimePerObj
-
nTotalRunTime
Long nTotalRunTime
-
outlierNotifier
MyBaseOutlierDetector.OutlierNotifier outlierNotifier
-
outliersFound
TreeSet<MyBaseOutlierDetector.Outlier> outliersFound
-
random
Random random
-
windowSizeOption
IntOption windowSizeOption
-
-
-
-
Package moa.clusterers.outliers.AbstractC
-
Class moa.clusterers.outliers.AbstractC.AbstractC extends AbstractCBase implements Serializable
-
Serialized Fields
-
kOption
IntOption kOption
-
radiusOption
FloatOption radiusOption
-
waitWinFullOption
FlagOption waitWinFullOption
-
-
-
Class moa.clusterers.outliers.AbstractC.AbstractCBase extends MyBaseOutlierDetector implements Serializable
-
Serialized Fields
-
bWarning
boolean bWarning
-
ISB
ISBIndex ISB
-
m_Fraction
double m_Fraction
-
m_nBothInlierOutlier
int m_nBothInlierOutlier
-
m_nOnlyInlier
int m_nOnlyInlier
-
m_nOnlyOutlier
int m_nOnlyOutlier
-
m_radius
double m_radius
-
m_WindowSize
int m_WindowSize
-
objId
Long objId
-
windowNodes
Vector<ISBIndex.ISBNode> windowNodes
-
-
-
-
Package moa.clusterers.outliers.Angiulli
-
Class moa.clusterers.outliers.Angiulli.ApproxSTORM extends STORMBase implements Serializable
-
Serialized Fields
-
kOption
IntOption kOption
-
m_FractWindowSize
int m_FractWindowSize
-
m_Random
Random m_Random
-
pOption
FloatOption pOption
-
queryFreqOption
IntOption queryFreqOption
-
radiusOption
FloatOption radiusOption
-
safe_inliers
Set<ISBIndex.ISBNode> safe_inliers
-
-
-
Class moa.clusterers.outliers.Angiulli.ExactSTORM extends STORMBase implements Serializable
-
Serialized Fields
-
kOption
IntOption kOption
-
queryFreqOption
IntOption queryFreqOption
-
radiusOption
FloatOption radiusOption
-
-
-
Class moa.clusterers.outliers.Angiulli.STORMBase extends MyBaseOutlierDetector implements Serializable
-
Serialized Fields
-
ISB
ISBIndex ISB
-
m_k
int m_k
-
m_nBothInlierOutlier
int m_nBothInlierOutlier
-
m_nOnlyInlier
int m_nOnlyInlier
-
m_nOnlyOutlier
int m_nOnlyOutlier
-
m_QueryFreq
int m_QueryFreq
-
m_radius
double m_radius
-
m_WindowSize
int m_WindowSize
-
objId
Long objId
-
waitWinFullOption
FlagOption waitWinFullOption
-
windowNodes
Vector<ISBIndex.ISBNode> windowNodes
-
-
-
-
Package moa.clusterers.outliers.AnyOut
-
Class moa.clusterers.outliers.AnyOut.AnyOut extends MyBaseOutlierDetector implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
anyout
AnyOutCore anyout
-
falsePositive
int falsePositive
-
FIRST_OBJ_ID
int FIRST_OBJ_ID
-
idCounter
int idCounter
-
maxDepth
double maxDepth
-
minDepth
double minDepth
-
objects
ArrayList<DataObject> objects
-
outlierClass
int outlierClass
-
totalOutliers
int totalOutliers
-
trainingCount
int trainingCount
-
trainingSet
DataSet trainingSet
-
trainingSetSize
int trainingSetSize
-
truePositive
int truePositive
-
windowSize
int windowSize
-
-
Class moa.clusterers.outliers.AnyOut.AnyOutCore extends ClusTree implements Serializable
-
Serialized Fields
-
aggregatedOScoreResult
HashMap<Integer,Double> aggregatedOScoreResult
-
confidenceChoiceOption
IntOption confidenceChoiceOption
-
confK
int confK
-
confKOption
IntOption confKOption
-
currentLevel
HashMap<Integer,Integer> currentLevel
-
descendToNode
HashMap<Integer,Node> descendToNode
-
lastConfidenceResult
HashMap<Integer,Double> lastConfidenceResult
-
lastOScoreResult
HashMap<Integer,Double> lastOScoreResult
-
objectAsKernel
HashMap<Integer,ClusKernel> objectAsKernel
-
oScoreK
int oScoreK
-
oScoreKOption
IntOption oScoreKOption
-
previousOScoreResultList
HashMap<Integer,ArrayList<Double>> previousOScoreResultList
-
threshholdOption
FloatOption threshholdOption
-
threshold
double threshold
-
trainingSetSizeOption
IntOption trainingSetSizeOption
-
UseMeanScoreOption
FlagOption UseMeanScoreOption
-
weightThreshold
double weightThreshold
-
-
-
-
Package moa.clusterers.outliers.MCOD
-
Class moa.clusterers.outliers.MCOD.MCOD extends MCODBase implements Serializable
-
Serialized Fields
-
kOption
IntOption kOption
-
radiusOption
FloatOption radiusOption
-
-
-
Class moa.clusterers.outliers.MCOD.MCODBase extends MyBaseOutlierDetector implements Serializable
-
Serialized Fields
-
bWarning
boolean bWarning
-
eventQueue
MCODBase.EventQueue eventQueue
-
ISB_PD
ISBIndex ISB_PD
-
m_k
int m_k
-
m_nBothInlierOutlier
int m_nBothInlierOutlier
-
m_nOnlyInlier
int m_nOnlyInlier
-
m_nOnlyOutlier
int m_nOnlyOutlier
-
m_radius
double m_radius
-
m_theta
double m_theta
-
m_WindowSize
int m_WindowSize
-
mtreeMC
moa.clusterers.outliers.MCOD.MTreeMicroClusters mtreeMC
-
nodesReinsert
TreeSet<ISBIndex.ISBNode> nodesReinsert
-
objId
Long objId
-
setMC
TreeSet<MicroCluster> setMC
-
windowNodes
Vector<ISBIndex.ISBNode> windowNodes
-
-
-
-
Package moa.clusterers.outliers.SimpleCOD
-
Class moa.clusterers.outliers.SimpleCOD.SimpleCOD extends SimpleCODBase implements Serializable
-
Serialized Fields
-
kOption
IntOption kOption
-
radiusOption
FloatOption radiusOption
-
-
-
Class moa.clusterers.outliers.SimpleCOD.SimpleCODBase extends MyBaseOutlierDetector implements Serializable
-
Serialized Fields
-
bWarning
boolean bWarning
-
eventQueue
SimpleCODBase.EventQueue eventQueue
-
ISB
ISBIndex ISB
-
m_k
int m_k
-
m_nBothInlierOutlier
int m_nBothInlierOutlier
-
m_nOnlyInlier
int m_nOnlyInlier
-
m_nOnlyOutlier
int m_nOnlyOutlier
-
m_radius
double m_radius
-
m_WindowSize
int m_WindowSize
-
objId
Long objId
-
windowNodes
Vector<ISBIndex.ISBNode> windowNodes
-
-
-
-
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
-
centresStreamingCoreset
Point[] centresStreamingCoreset
-
clustererRandom
MTRandom clustererRandom
-
coresetsize
int coresetsize
-
dimension
int dimension
-
evaluateOption
FlagOption evaluateOption
-
initialized
boolean initialized
-
length
int length
-
lengthOption
IntOption lengthOption
-
manager
BucketManager manager
-
numberInstances
int numberInstances
-
numberOfCentres
int numberOfCentres
-
numClustersOption
IntOption numClustersOption
-
randomSeedOption
IntOption randomSeedOption
-
sizeCoresetOption
IntOption sizeCoresetOption
-
-
-
-
Package moa.core
-
Class moa.core.AutoExpandVector extends 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.FixedLengthList extends ArrayList<E> implements Serializable
- serialVersionUID:
- 5763493643390042080L
-
Serialized Fields
-
maxSize
int maxSize
The fixed length of the FixedLengthList
-
-
Class moa.core.GaussianEstimator extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
mean
double mean
-
varianceSum
double varianceSum
-
weightSum
double weightSum
-
-
Class moa.core.GreenwaldKhannaQuantileSummary extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numObservations
long numObservations
-
numTuples
int numTuples
-
summary
GreenwaldKhannaQuantileSummary.Tuple[] summary
-
-
Class moa.core.GreenwaldKhannaQuantileSummary.Tuple extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
delta
long delta
-
g
long g
-
v
double v
-
-
Class moa.core.Measurement extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
name
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
-
acquiredInstances
int acquiredInstances
-
acquisitionRateEstimator
BasicClassificationPerformanceEvaluator.Estimator acquisitionRateEstimator
-
-
Class moa.evaluation.BasicAUCImbalancedPerformanceEvaluator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
aucEstimator
BasicAUCImbalancedPerformanceEvaluator.Estimator aucEstimator
-
calculateAUC
FlagOption calculateAUC
-
numClasses
int numClasses
-
totalObservedInstances
double totalObservedInstances
-
weightMajorityClassifier
BasicAUCImbalancedPerformanceEvaluator.SimpleEstimator weightMajorityClassifier
-
-
Class moa.evaluation.BasicClassificationPerformanceEvaluator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
columnKappa
BasicClassificationPerformanceEvaluator.Estimator[] columnKappa
-
f1PerClassOption
FlagOption f1PerClassOption
-
lastSeenClass
int lastSeenClass
-
numClasses
int numClasses
-
precision
BasicClassificationPerformanceEvaluator.Estimator[] precision
-
precisionPerClassOption
FlagOption precisionPerClassOption
-
precisionRecallOutputOption
FlagOption precisionRecallOutputOption
-
recall
BasicClassificationPerformanceEvaluator.Estimator[] recall
-
recallPerClassOption
FlagOption recallPerClassOption
-
rowKappa
BasicClassificationPerformanceEvaluator.Estimator[] rowKappa
-
totalWeightObserved
double totalWeightObserved
-
weightCorrect
BasicClassificationPerformanceEvaluator.Estimator weightCorrect
-
weightCorrectNoChangeClassifier
BasicClassificationPerformanceEvaluator.Estimator weightCorrectNoChangeClassifier
-
weightMajorityClassifier
BasicClassificationPerformanceEvaluator.Estimator weightMajorityClassifier
-
-
Class moa.evaluation.BasicClassificationPerformanceEvaluator.BasicEstimator extends Object implements Serializable
-
Serialized Fields
-
len
double len
-
sum
double sum
-
-
-
Class moa.evaluation.BasicConceptDriftPerformanceEvaluator extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
delay
double delay
-
errorPrediction
double errorPrediction
-
hasChangeOccurred
boolean hasChangeOccurred
-
inputValues
double inputValues
-
isWarningZone
boolean isWarningZone
-
numberChanges
double numberChanges
-
numberDetections
double numberDetections
-
numberDetectionsOccurred
double numberDetectionsOccurred
-
numberWarnings
double numberWarnings
-
totalDelay
double totalDelay
-
weightObserved
double weightObserved
-
-
Class moa.evaluation.BasicMultiLabelPerformanceEvaluator extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
L
int L
-
sumAccuracy
double sumAccuracy
running sum of accuracy -
sumAccuracy2
double sumAccuracy2
-
sumExamples
int sumExamples
running number of examples -
sumFmeasure
double sumFmeasure
-
sumHamming
double sumHamming
-
sumPrecision
double sumPrecision
-
sumRecall
double sumRecall
-
-
-
Class moa.evaluation.BasicMultiTargetPerformanceEvaluator extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
averageError
double averageError
-
numberOutputs
int numberOutputs
-
squareError
double squareError
-
weightObserved
double weightObserved
-
-
Class moa.evaluation.BasicMultiTargetPerformanceRelativeMeasuresEvaluator extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
averageError
double[] averageError
-
averageErrorToTargetMean
double[] averageErrorToTargetMean
-
numberOutputs
int numberOutputs
-
squareError
double[] squareError
-
squareErrorToTargetMean
double[] squareErrorToTargetMean
-
sumY
double[] sumY
-
weightObserved
double weightObserved
-
-
Class moa.evaluation.BasicRegressionPerformanceEvaluator extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
averageError
double averageError
-
averageTargetError
double averageTargetError
-
numAttributes
double numAttributes
-
squareError
double squareError
-
squareTargetError
double squareTargetError
-
sumTarget
double sumTarget
-
totalSumSquares
double totalSumSquares
-
weightObserved
double weightObserved
-
-
Class moa.evaluation.ChangeDetectionMeasures extends MeasureCollection implements Serializable
-
Serialized Fields
-
debug
boolean debug
-
-
-
Class moa.evaluation.CMM extends MeasureCollection implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
clustering
Clustering clustering
found clustering -
debug
boolean debug
enable/disable debug mode -
enableClassMerge
boolean enableClassMerge
enable/disable class merge (main feature of ground truth analysis) -
enableModelError
boolean enableModelError
enable/disable model error when enabled errors that are caused by the underling cluster model will not be counted -
gtAnalysis
CMM_GTAnalysis gtAnalysis
the ground truth analysis -
lamdaMissed
double lamdaMissed
parameterize the error weight of missed points (default 1) -
matchMap
int[] matchMap
match found clusters to GT clusters -
numFClusters
int numFClusters
number of clusters in the found clustering -
numGT0Classes
int numGT0Classes
number of cluster in the adjusted groundtruth clustering that was calculated through the groundtruth analysis -
numPoints
int numPoints
number of points within the horizon -
pointInclusionProbFC
double[][] pointInclusionProbFC
pointInclusionProbFC[p][C] contains the probability of point p being included in cluster C -
pointInclusionProbThreshold
double pointInclusionProbThreshold
threshold that defines when a point is being considered belonging to a cluster
-
-
Class moa.evaluation.CMM_GTAnalysis.CMMPoint extends DataPoint implements Serializable
-
Serialized Fields
-
connectivity
double connectivity
the connectivity of the point to its cluster -
knnInCluster
double knnInCluster
knn distnace within own cluster -
knnIndices
ArrayList<Integer> knnIndices
knn indices (for debugging only) -
p
DataPoint p
Reference to original point -
pID
int pID
point ID -
trueClass
int trueClass
true class label
-
-
-
Class moa.evaluation.EntropyCollection extends MeasureCollection implements Serializable
-
Serialized Fields
-
beta
double beta
-
debug
boolean debug
-
-
-
Class moa.evaluation.EWMAClassificationPerformanceEvaluator extends BasicClassificationPerformanceEvaluator implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
weightCorrect
BasicClassificationPerformanceEvaluator.Estimator weightCorrect
-
-
Class moa.evaluation.EWMAClassificationPerformanceEvaluator.EWMAEstimator extends 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
-
b
double b
-
estimation
double estimation
-
-
-
Class moa.evaluation.General extends MeasureCollection implements Serializable
-
Serialized Fields
-
clustering
Clustering clustering
-
numDims
int numDims
-
numFClusters
int numFClusters
-
numPoints
int numPoints
-
pointInclusionProbThreshold
double pointInclusionProbThreshold
-
points
ArrayList<DataPoint> points
-
-
-
Class moa.evaluation.LearningEvaluation extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
measurements
Measurement[] measurements
-
-
Class moa.evaluation.MeasureCollection extends AbstractMOAObject implements Serializable
-
Serialized Fields
-
corrupted
boolean[] corrupted
-
debug
boolean debug
-
enabled
boolean[] enabled
-
events
ArrayList<String> events
-
map
HashMap<String,Integer> map
-
maxValue
double[] maxValue
-
minValue
double[] minValue
-
mm
MembershipMatrix mm
-
names
String[] names
-
numMeasures
int numMeasures
-
sortedValues
ArrayList<Double>[] sortedValues
-
sumValues
double[] sumValues
-
time
double time
-
values
ArrayList<Double>[] values
-
-
-
Class moa.evaluation.MultiTargetWindowRegressionPerformanceEvaluator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
averageError
MultiTargetWindowRegressionPerformanceEvaluator.Estimator averageError
-
numberOutputs
int numberOutputs
-
numClasses
int numClasses
-
squareError
MultiTargetWindowRegressionPerformanceEvaluator.Estimator squareError
-
TotalweightObserved
double TotalweightObserved
-
weightObserved
MultiTargetWindowRegressionPerformanceEvaluator.Estimator weightObserved
-
widthOption
IntOption widthOption
-
-
Class moa.evaluation.MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
averageError
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] averageError
-
averageErrorToTargetMean
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] averageErrorToTargetMean
-
numberOutputs
int numberOutputs
-
numClasses
int numClasses
-
squareError
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] squareError
-
squareErrorToTargetMean
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] squareErrorToTargetMean
-
sumY
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] sumY
-
TotalweightObserved
double TotalweightObserved
-
weightObserved
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator weightObserved
-
widthOption
IntOption widthOption
-
-
Class moa.evaluation.OutlierPerformance extends MeasureCollection implements Serializable
-
Class moa.evaluation.RegressionAccuracy extends Accuracy implements Serializable
-
Class moa.evaluation.Separation extends MeasureCollection implements Serializable
-
Class moa.evaluation.SilhouetteCoefficient extends MeasureCollection implements Serializable
-
Serialized Fields
-
pointInclusionProbThreshold
double pointInclusionProbThreshold
-
-
-
Class moa.evaluation.SSQ extends MeasureCollection implements Serializable
-
Class moa.evaluation.StatisticalCollection extends MeasureCollection implements Serializable
-
Serialized Fields
-
debug
boolean debug
-
-
-
Class moa.evaluation.WindowAUCImbalancedPerformanceEvaluator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
aucEstimator
WindowAUCImbalancedPerformanceEvaluator.Estimator aucEstimator
-
numClasses
int numClasses
-
totalObservedInstances
double totalObservedInstances
-
weightMajorityClassifier
WindowAUCImbalancedPerformanceEvaluator.SimpleEstimator weightMajorityClassifier
-
widthOption
IntOption widthOption
-
-
Class moa.evaluation.WindowClassificationPerformanceEvaluator extends BasicClassificationPerformanceEvaluator implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
widthOption
IntOption widthOption
-
-
Class moa.evaluation.WindowClassificationPerformanceEvaluator.WindowEstimator extends Object implements Serializable
-
Serialized Fields
-
lenWindow
int lenWindow
-
posWindow
int posWindow
-
qtyNaNs
double qtyNaNs
-
SizeWindow
int SizeWindow
-
sum
double sum
-
window
double[] window
-
-
-
Class moa.evaluation.WindowRegressionPerformanceEvaluator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
averageError
WindowRegressionPerformanceEvaluator.Estimator averageError
-
averageTargetError
WindowRegressionPerformanceEvaluator.Estimator averageTargetError
-
numAttributes
double numAttributes
-
numClasses
int numClasses
-
squareError
WindowRegressionPerformanceEvaluator.Estimator squareError
-
squareTargetError
WindowRegressionPerformanceEvaluator.Estimator squareTargetError
-
sumTarget
WindowRegressionPerformanceEvaluator.Estimator sumTarget
-
TotalweightObserved
double TotalweightObserved
-
weightObserved
WindowRegressionPerformanceEvaluator.Estimator weightObserved
-
widthOption
IntOption widthOption
-
-
-
Package moa.evaluation.preview
-
Class moa.evaluation.preview.LearningCurve extends Preview implements Serializable
- serialVersionUID:
- 1L
-
Class moa.evaluation.preview.Preview extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Class moa.evaluation.preview.PreviewCollection extends Preview implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
indexName
String indexName
-
measurementNames
List<String> measurementNames
-
minEntryNum
int minEntryNum
-
orderingName
String orderingName
-
requiredMeasurementNames
List<String> requiredMeasurementNames
-
subPreviews
List<CollectionElementType extends Preview> subPreviews
-
taskClass
Class<?> 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<?> taskClass
-
-
-
Package moa.gui
-
Class moa.gui.AbstractTabPanel extends JPanel implements Serializable
-
Class moa.gui.ALTabPanel extends AbstractTabPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
previewPanel
ALPreviewPanel previewPanel
-
taskManagerPanel
ALTaskManagerPanel taskManagerPanel
-
-
Class moa.gui.AuxiliarTabPanel extends AbstractTabPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
previewPanel
PreviewPanel previewPanel
-
taskManagerPanel
AuxiliarTaskManagerPanel taskManagerPanel
-
-
Class moa.gui.AuxiliarTaskManagerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cancelTaskButton
JButton cancelTaskButton
-
configureTaskButton
JButton configureTaskButton
-
currentTask
MainTask currentTask
-
deleteTaskButton
JButton deleteTaskButton
-
pauseTaskButton
JButton pauseTaskButton
-
PREF_NAME
String PREF_NAME
-
prefs
Preferences prefs
-
previewPanel
PreviewPanel previewPanel
-
resumeTaskButton
JButton resumeTaskButton
-
runTaskButton
JButton runTaskButton
-
taskDescField
JTextField taskDescField
-
taskList
List<TaskThread> taskList
-
taskTable
JTable taskTable
-
taskTableModel
AuxiliarTaskManagerPanel.TaskTableModel taskTableModel
-
-
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
-
previewPanel
PreviewPanel previewPanel
-
taskManagerPanel
TaskManagerPanel taskManagerPanel
-
-
Class moa.gui.ClassOptionSelectionPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
chosenObject
Object chosenObject
-
chosenObjectEditor
JComponent chosenObjectEditor
-
classChoiceBox
JComboBox classChoiceBox
-
-
Class moa.gui.ClassOptionWithListenerOptionEditComponent extends ClassOptionEditComponent implements Serializable
- serialVersionUID:
- 1L
-
Class moa.gui.ClassOptionWithNamesSelectionPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
chosenObject
Object chosenObject
-
chosenObjectEditor
JComponent chosenObjectEditor
-
classChoiceBox
JComboBox classChoiceBox
-
debug
boolean debug
-
-
Class moa.gui.ConceptDriftTabPanel extends AbstractTabPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
previewPanel
PreviewPanel previewPanel
-
taskManagerPanel
CDTaskManagerPanel taskManagerPanel
-
-
Class moa.gui.EditableMultiChoiceOptionEditComponent extends MultiChoiceOptionEditComponent implements Serializable
- serialVersionUID:
- 1L
-
Class moa.gui.GUI extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
pagePane
nz.ac.waikato.cms.gui.core.MultiPagePane pagePane
-
-
Class moa.gui.GUIDefaults extends Object implements Serializable
- serialVersionUID:
- 4954795757927524225L
-
Class moa.gui.LineGraphViewPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
plotLines
List<LineGraphViewPanel.PlotLine> 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
-
previewPanel
PreviewPanel previewPanel
-
taskManagerPanel
MultiLabelTaskManagerPanel taskManagerPanel
-
-
Class moa.gui.MultiLabelTaskManagerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cancelTaskButton
JButton cancelTaskButton
-
configureTaskButton
JButton configureTaskButton
-
currentTask
MultiLabelMainTask currentTask
-
deleteTaskButton
JButton deleteTaskButton
-
pauseTaskButton
JButton pauseTaskButton
-
PREF_NAME
String PREF_NAME
-
prefs
Preferences prefs
-
previewPanel
PreviewPanel previewPanel
-
resumeTaskButton
JButton resumeTaskButton
-
runTaskButton
JButton runTaskButton
-
taskDescField
JTextField taskDescField
-
taskList
List<TaskThread> taskList
-
taskTable
JTable taskTable
-
taskTableModel
MultiLabelTaskManagerPanel.TaskTableModel taskTableModel
-
-
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
-
previewPanel
PreviewPanel previewPanel
-
taskManagerPanel
MultiTargetTaskManagerPanel taskManagerPanel
-
-
Class moa.gui.MultiTargetTaskManagerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cancelTaskButton
JButton cancelTaskButton
-
configureTaskButton
JButton configureTaskButton
-
currentTask
MultiTargetMainTask currentTask
-
deleteTaskButton
JButton deleteTaskButton
-
pauseTaskButton
JButton pauseTaskButton
-
PREF_NAME
String PREF_NAME
-
prefs
Preferences prefs
-
previewPanel
PreviewPanel previewPanel
-
resumeTaskButton
JButton resumeTaskButton
-
runTaskButton
JButton runTaskButton
-
taskDescField
JTextField taskDescField
-
taskList
List<TaskThread> taskList
-
taskTable
JTable taskTable
-
taskTableModel
MultiTargetTaskManagerPanel.TaskTableModel taskTableModel
-
-
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
-
autoRefreshComboBox
JComboBox<String> autoRefreshComboBox
-
autoRefreshLabel
JLabel autoRefreshLabel
-
autoRefreshTimer
Timer autoRefreshTimer
-
previewedThread
TaskThread previewedThread
-
previewLabel
JLabel previewLabel
-
refreshButton
JButton refreshButton
-
textViewerPanel
TaskTextViewerPanel textViewerPanel
-
-
Class moa.gui.PreviewTableModel extends AbstractTableModel implements Serializable
- serialVersionUID:
- 1L
-
Class moa.gui.RegressionTabPanel extends AbstractTabPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
previewPanel
PreviewPanel previewPanel
-
taskManagerPanel
RegressionTaskManagerPanel taskManagerPanel
-
-
Class moa.gui.RegressionTaskManagerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cancelTaskButton
JButton cancelTaskButton
-
configureTaskButton
JButton configureTaskButton
-
currentTask
RegressionMainTask currentTask
-
deleteTaskButton
JButton deleteTaskButton
-
pauseTaskButton
JButton pauseTaskButton
-
PREF_NAME
String PREF_NAME
-
prefs
Preferences prefs
-
previewPanel
PreviewPanel previewPanel
-
resumeTaskButton
JButton resumeTaskButton
-
runTaskButton
JButton runTaskButton
-
taskDescField
JTextField taskDescField
-
taskList
List<TaskThread> taskList
-
taskTable
JTable taskTable
-
taskTableModel
RegressionTaskManagerPanel.TaskTableModel taskTableModel
-
-
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
-
previewPanel
PreviewPanel previewPanel
-
taskManagerPanel
TaskManagerPanel taskManagerPanel
-
-
Class moa.gui.TaskManagerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cancelTaskButton
JButton cancelTaskButton
-
configureTaskButton
JButton configureTaskButton
-
currentTask
MainTask currentTask
-
deleteTaskButton
JButton deleteTaskButton
-
pauseTaskButton
JButton pauseTaskButton
-
PREF_NAME
String PREF_NAME
-
PREF_VIEW_MODE
String PREF_VIEW_MODE
-
prefs
Preferences prefs
-
previewPanel
PreviewPanel previewPanel
-
resumeTaskButton
JButton resumeTaskButton
-
runTaskButton
JButton runTaskButton
-
taskDescField
JTextField taskDescField
-
taskList
List<TaskThread> taskList
-
taskTable
JTable taskTable
-
taskTableModel
TaskManagerPanel.TaskTableModel taskTableModel
-
viewModeList
JComboBox<String> viewModeList
-
-
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
-
acc1
MeasureCollection[] acc1
-
acc2
MeasureCollection[] acc2
-
buttonDetach
JButton buttonDetach
-
buttonRun
JButton buttonRun
-
buttonSaveAs
JButton buttonSaveAs
-
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 comboX
-
comboY
JComboBox comboY
-
detachablePanel
nz.ac.waikato.cms.gui.core.DetachablePanel detachablePanel
-
exportButton
JButton exportButton
-
fileChooserGraph
nz.ac.waikato.cms.gui.core.BaseFileChooser fileChooserGraph
-
graphCanvas
GraphCanvas graphCanvas
-
graphPanel
JPanel graphPanel
-
graphPanelControlBottom
JPanel graphPanelControlBottom
-
graphPanelControlTop
JPanel graphPanelControlTop
-
graphScrollPanel
JScrollPane graphScrollPanel
-
gridBagConstraints
GridBagConstraints gridBagConstraints
-
jLabel1
JLabel jLabel1
-
jSplitPane1
JSplitPane jSplitPane1
-
label_processed_points
JLabel label_processed_points
-
label_processed_points_value
JLabel label_processed_points_value
-
labelEvents
JLabel labelEvents
-
labelNumPause
JLabel labelNumPause
-
labelX
JLabel labelX
-
labelY
JLabel labelY
-
numPauseAfterPoints
JTextField numPauseAfterPoints
-
panelControl
JPanel panelControl
-
panelEvalOutput
JPanel panelEvalOutput
-
panelVisualWrapper
JPanel panelVisualWrapper
-
previewTable
JTable previewTable
-
previewTableModel
PreviewTableModel previewTableModel
-
previewText
JTextArea previewText
-
scrollPane0
JScrollPane scrollPane0
-
scrollPane1
JScrollPane scrollPane1
-
scrollPaneTable
JScrollPane scrollPaneTable
-
scrollPaneText
JScrollPane scrollPaneText
-
secondLine
String secondLine
-
speedSlider
JSlider speedSlider
-
splitVisual
JSplitPane splitVisual
-
streamPanel0
StreamPanel streamPanel0
-
streamPanel1
StreamPanel streamPanel1
-
taskManagerPanel
CDTaskManagerPanel taskManagerPanel
-
topWrapper
JPanel topWrapper
-
typePanel
PreviewPanel.TypePanel typePanel
-
-
Class moa.gui.TextViewerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
exportButton
JButton exportButton
-
scrollPane
JScrollPane scrollPane
-
textArea
JTextArea textArea
-
-
Class moa.gui.WEKAClassOptionEditComponent extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
editButton
JButton editButton
-
editedOption
WEKAClassOption editedOption
-
textField
JTextField textField
-
-
-
Package moa.gui.active
-
Class moa.gui.active.ALPreviewPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
autoRefreshComboBox
JComboBox<String> autoRefreshComboBox
-
autoRefreshLabel
JLabel autoRefreshLabel
-
autoRefreshTimer
Timer autoRefreshTimer
-
previewedThread
ALTaskThread previewedThread
-
previewLabel
JLabel previewLabel
-
refreshButton
JButton refreshButton
-
textViewerPanel
ALTaskTextViewerPanel textViewerPanel
-
-
Class moa.gui.active.ALTaskManagerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cancelTaskButton
JButton cancelTaskButton
-
configureTaskButton
JButton configureTaskButton
-
currentTask
ALMainTask currentTask
-
deleteTaskButton
JButton deleteTaskButton
-
pauseTaskButton
JButton pauseTaskButton
-
PREF_NAME
String PREF_NAME
-
prefs
Preferences prefs
-
previewPanel
ALPreviewPanel previewPanel
-
resumeTaskButton
JButton resumeTaskButton
-
runTaskButton
JButton runTaskButton
-
taskDescField
JTextField taskDescField
-
taskList
List<ALTaskThread> taskList
-
taskTable
JTable taskTable
-
taskTableModel
ALTaskManagerPanel.TaskTableModel taskTableModel
-
-
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
-
budgetGraphCanvas
ParamGraphCanvas budgetGraphCanvas
-
budgetGraphScrollPanel
JScrollPane budgetGraphScrollPanel
-
budgets
double[] budgets
-
buttonZoomInX
JButton buttonZoomInX
-
buttonZoomInY
JButton buttonZoomInY
-
buttonZoomOutX
JButton buttonZoomOutX
-
buttonZoomOutY
JButton buttonZoomOutY
-
errorTextField
JTextArea errorTextField
-
exportButton
JButton exportButton
-
graphCanvas
ProcessGraphCanvas graphCanvas
-
graphPanel
JPanel graphPanel
-
graphPanelControlLeft
JPanel graphPanelControlLeft
-
graphPanelControlRight
JPanel graphPanelControlRight
-
graphPanelTabbedPane
JTabbedPane graphPanelTabbedPane
-
graphScrollPanel
JScrollPane graphScrollPanel
-
gridBagConstraints
GridBagConstraints gridBagConstraints
-
labelEvents
JLabel labelEvents
-
mainPane
JSplitPane mainPane
-
measureOverview
MeasureOverview measureOverview
-
panelEvalOutput
JPanel panelEvalOutput
-
paramGraphCanvas
ParamGraphCanvas paramGraphCanvas
-
paramGraphScrollPanel
JScrollPane paramGraphScrollPanel
-
previewTable
JTable previewTable
-
previewTableModel
PreviewTableModel previewTableModel
-
scrollPaneTable
JScrollPane scrollPaneTable
-
scrollPaneText
JScrollPane scrollPaneText
-
topWrapper
JPanel topWrapper
-
variedParamName
String variedParamName
-
variedParamValues
double[] variedParamValues
-
-
Class moa.gui.active.MeasureOverview extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
contentPanel
JPanel contentPanel
-
currentValues
JLabel[] currentValues
-
labelCurrent
JLabel labelCurrent
-
labelMean
JLabel labelMean
-
labelMeasure
JLabel labelMeasure
-
meanValues
JLabel[] meanValues
-
measureCollectionSelected
int measureCollectionSelected
-
measures
MeasureCollection[] measures
-
paramBox
JComboBox<String> paramBox
-
radioButtons
JRadioButton[] radioButtons
-
radioGroup
ButtonGroup radioGroup
-
scrollPane
JScrollPane scrollPane
-
variedParamName
String variedParamName
-
variedParamValues
double[] variedParamValues
-
-
-
Package moa.gui.clustertab
-
Class moa.gui.clustertab.ClusteringAlgoPanel extends JPanel implements Serializable
-
Serialized Fields
-
algorithmOption0
ClassOption algorithmOption0
-
algorithmOption1
ClassOption algorithmOption1
-
editComponents
List<OptionEditComponent> editComponents
-
streamOption
ClassOption streamOption
-
-
-
Class moa.gui.clustertab.ClusteringEvalPanel extends JPanel implements Serializable
-
Class moa.gui.clustertab.ClusteringSetupTab extends JPanel implements Serializable
-
Serialized Fields
-
buttonExport
JButton buttonExport
-
buttonExportSettings
JButton buttonExportSettings
-
buttonImportSettings
JButton buttonImportSettings
-
buttonStart
JButton buttonStart
-
buttonStop
JButton buttonStop
-
buttonWeka
JButton buttonWeka
-
clusteringAlgoPanel0
ClusteringAlgoPanel clusteringAlgoPanel0
-
clusteringEvalPanel1
ClusteringEvalPanel clusteringEvalPanel1
-
clusteringTab
ClusteringTabPanel clusteringTab
-
lastfile
String lastfile
-
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
-
contentPanel
JPanel contentPanel
-
labelCurrent0
JLabel labelCurrent0
-
labelDummy
JLabel labelDummy
-
labelMean0
JLabel labelMean0
-
labelMeasure
JLabel labelMeasure
-
measures0
MeasureCollection[] measures0
-
measures1
MeasureCollection[] measures1
-
names
ArrayList<JLabel> names
-
radiobuttons
ArrayList<JRadioButton> radiobuttons
-
radioGroup
ButtonGroup radioGroup
-
scrollPane
JScrollPane scrollPane
-
values
ArrayList<JLabel> values
-
-
-
Class moa.gui.clustertab.ClusteringVisualTab extends JPanel implements Serializable
-
Serialized Fields
-
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
-
clusteringSetupTab
ClusteringSetupTab clusteringSetupTab
-
clusteringVisualEvalPanel1
ClusteringVisualEvalPanel clusteringVisualEvalPanel1
-
comboX
JComboBox comboX
-
comboY
JComboBox comboY
-
exportFile
String exportFile
-
graphCanvas
GraphCanvas graphCanvas
-
graphPanel
JPanel graphPanel
-
graphPanelControlBottom
JPanel graphPanelControlBottom
-
graphPanelControlTop
JPanel graphPanelControlTop
-
graphScrollPanel
JScrollPane graphScrollPanel
-
jLabel1
JLabel jLabel1
-
jSplitPane1
JSplitPane jSplitPane1
-
label_processed_points
JLabel label_processed_points
-
label_processed_points_value
JLabel label_processed_points_value
-
labelEvents
JLabel labelEvents
-
labelNumPause
JLabel labelNumPause
-
labelX
JLabel labelX
-
labelY
JLabel labelY
-
numPauseAfterPoints
JTextField numPauseAfterPoints
-
panelControl
JPanel panelControl
-
panelEvalOutput
JPanel panelEvalOutput
-
panelVisualWrapper
JPanel panelVisualWrapper
-
running
Boolean running
-
screenshotFilebase
String screenshotFilebase
-
scrollPane0
JScrollPane scrollPane0
-
scrollPane1
JScrollPane scrollPane1
-
speedSlider
JSlider speedSlider
-
splitVisual
JSplitPane splitVisual
-
streamPanel0
StreamPanel streamPanel0
-
streamPanel1
StreamPanel streamPanel1
-
topWrapper
JPanel topWrapper
-
visualizer
RunVisualizer visualizer
-
visualizerThread
Thread visualizerThread
-
-
-
-
Package moa.gui.conceptdrift
-
Class moa.gui.conceptdrift.CDTaskManagerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cancelTaskButton
JButton cancelTaskButton
-
configureTaskButton
JButton configureTaskButton
-
currentTask
ConceptDriftMainTask currentTask
-
deleteTaskButton
JButton deleteTaskButton
-
pauseTaskButton
JButton pauseTaskButton
-
PREF_NAME
String PREF_NAME
-
prefs
Preferences prefs
-
previewPanel
PreviewPanel previewPanel
-
resumeTaskButton
JButton resumeTaskButton
-
runTaskButton
JButton runTaskButton
-
taskDescField
JTextField taskDescField
-
taskList
List<TaskThread> taskList
-
taskTable
JTable taskTable
-
taskTableModel
CDTaskManagerPanel.TaskTableModel taskTableModel
-
-
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.experimentertab
-
Class moa.gui.experimentertab.AnalyzeTab extends JPanel implements Serializable
-
Serialized Fields
-
algorithms
String[] algorithms
-
algoritmModel
DefaultTableModel algoritmModel
-
jButtonDelAlgoritm
JButton jButtonDelAlgoritm
-
jButtonDelStream
JButton jButtonDelStream
-
jButtonImage
JButton jButtonImage
-
jButtonReset
JButton jButtonReset
-
jButtonResults
JButton jButtonResults
-
jButtonTest
JButton jButtonTest
-
jComboBoxMeasure
JComboBox jComboBoxMeasure
-
jComboBoxTest
JComboBox jComboBoxTest
-
jComboBoxType
JComboBox jComboBoxType
-
jLabel1
JLabel jLabel1
-
jLabel2
JLabel jLabel2
-
jLabel3
JLabel jLabel3
-
jLabel4
JLabel jLabel4
-
jLabelDirectory
JLabel jLabelDirectory
-
jPanel1
JPanel jPanel1
-
jPanel2
JPanel jPanel2
-
jScrollPane1
JScrollPane jScrollPane1
-
jScrollPaneAlgorithms
JScrollPane jScrollPaneAlgorithms
-
jScrollPaneStreams
JScrollPane jScrollPaneStreams
-
jSpinnerPvalue
JSpinner jSpinnerPvalue
-
jTableAlgoritms
JTable jTableAlgoritms
-
jTableStreams
JTable jTableStreams
-
jTextAreaOut
JTextArea jTextAreaOut
-
jTextFieldResultsPath
JTextField jTextFieldResultsPath
-
measures
LinkedList<String> measures
-
path
String path
-
pvalues
ArrayList<PValuePerTwoAlgorithm> pvalues
-
rank
ArrayList<RankPerAlgorithm> rank
-
rf
ReadFile rf
-
streamModel
DefaultTableModel streamModel
-
-
-
Class moa.gui.experimentertab.ExperimenterTabPanel extends AbstractTabPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
previewPanel
ExpPreviewPanel previewPanel
-
tabs
JTabbedPane tabs
-
taskTabManagerPanel
TaskManagerTabPanel taskTabManagerPanel
-
-
Class moa.gui.experimentertab.ExpPreviewPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
autoRefreshComboBox
JComboBox autoRefreshComboBox
-
autoRefreshLabel
JLabel autoRefreshLabel
-
autoRefreshTimer
Timer autoRefreshTimer
-
previewedThread
ExpTaskThread previewedThread
-
previewLabel
JLabel previewLabel
-
refreshButton
JButton refreshButton
-
textViewerPanel
TaskTextViewerPanel textViewerPanel
-
-
Class moa.gui.experimentertab.ImagePanel extends org.jfree.chart.ChartPanel implements Serializable
-
Serialized Fields
-
chart
org.jfree.chart.JFreeChart chart
-
-
-
Class moa.gui.experimentertab.ImageTreePanel extends JPanel implements Serializable
-
Serialized Fields
-
chart
ImageChart[] chart
-
chartPanel
ImagePanel[] chartPanel
-
imgPanel
JPanel imgPanel
-
tree
JTree tree
-
-
-
Class moa.gui.experimentertab.ImageViewer extends JFrame implements Serializable
-
Serialized Fields
-
btn
JButton btn
-
imgPanel
ImageTreePanel imgPanel
-
imgType
JComboBox imgType
-
resultsPath
String resultsPath
-
-
-
Class moa.gui.experimentertab.PlotTab extends JPanel implements Serializable
-
Serialized Fields
-
algoritmModel
DefaultTableModel algoritmModel
-
chart
ImageChart[] chart
-
imgPanel
ImageTreePanel imgPanel
-
jButtonAcept
JButton jButtonAcept
-
jButtonAceptGnuP
JButton jButtonAceptGnuP
-
jButtonDeletAlgorithm
JButton jButtonDeletAlgorithm
-
jButtonDeleteStream
JButton jButtonDeleteStream
-
jButtonGnuoPath
JButton jButtonGnuoPath
-
jButtonInPath
JButton jButtonInPath
-
jButtonReset
JButton jButtonReset
-
jButtonResetGnuP
JButton jButtonResetGnuP
-
jCheckBoxDeleteScript
JCheckBox jCheckBoxDeleteScript
-
jCheckBoxShape
JCheckBox jCheckBoxShape
-
jCheckBoxSmooth
JCheckBox jCheckBoxSmooth
-
jComboBoxGrid
JComboBox jComboBoxGrid
-
jComboBoxLegendLocation
JComboBox jComboBoxLegendLocation
-
jComboBoxLegendType
JComboBox jComboBoxLegendType
-
jComboBoxLineStyle
JComboBox jComboBoxLineStyle
-
jComboBoxOutPTypeGnuP
JComboBox jComboBoxOutPTypeGnuP
-
jComboBoxXColumn
JComboBox jComboBoxXColumn
-
jComboBoxXColumnGnuP
JComboBox jComboBoxXColumnGnuP
-
jComboBoxYColumn
JComboBox jComboBoxYColumn
-
jComboBoxYColumnGnuP
JComboBox jComboBoxYColumnGnuP
-
jLabel1
JLabel jLabel1
-
jLabel10
JLabel jLabel10
-
jLabel11
JLabel jLabel11
-
jLabel13
JLabel jLabel13
-
jLabel14
JLabel jLabel14
-
jLabel15
JLabel jLabel15
-
jLabel16
JLabel jLabel16
-
jLabel17
JLabel jLabel17
-
jLabel18
JLabel jLabel18
-
jLabel19
JLabel jLabel19
-
jLabel2
JLabel jLabel2
-
jLabel20
JLabel jLabel20
-
jLabel21
JLabel jLabel21
-
jLabel22
JLabel jLabel22
-
jLabel23
JLabel jLabel23
-
jLabel24
JLabel jLabel24
-
jLabel25
JLabel jLabel25
-
jLabel26
JLabel jLabel26
-
jLabel27
JLabel jLabel27
-
jLabel3
JLabel jLabel3
-
jLabel5
JLabel jLabel5
-
jLabel6
JLabel jLabel6
-
jLabel7
JLabel jLabel7
-
jLabel8
JLabel jLabel8
-
jPanel1
JPanel jPanel1
-
jPanel2
JPanel jPanel2
-
jPanel3
JPanel jPanel3
-
jPanel4
JPanel jPanel4
-
jPanelGnuP
JPanel jPanelGnuP
-
jScrollPane1
JScrollPane jScrollPane1
-
jScrollPane3
JScrollPane jScrollPane3
-
jScrollPaneAlgorithms
JScrollPane jScrollPaneAlgorithms
-
jScrollPaneGnuP
JScrollPane jScrollPaneGnuP
-
jSpinnerHeight
JSpinner jSpinnerHeight
-
jSpinnerLineWidth
JSpinner jSpinnerLineWidth
-
jSpinnerPlotInterval
JSpinner jSpinnerPlotInterval
-
jSpinnerWidth
JSpinner jSpinnerWidth
-
jTabbedPane1
JTabbedPane jTabbedPane1
-
jTableAlgoritms
JTable jTableAlgoritms
-
jTableStreams
JTable jTableStreams
-
jTextFieldAdcComand
JTextField jTextFieldAdcComand
-
jTextFieldAPOptions
JTextField jTextFieldAPOptions
-
jTextFieldGNUPath
JTextField jTextFieldGNUPath
-
jTextFieldResultPath
JTextField jTextFieldResultPath
-
jTextFieldTitle
JTextField jTextFieldTitle
-
jTextFieldxTitle
JTextField jTextFieldxTitle
-
jTextFieldxTitleGnuP
JTextField jTextFieldxTitleGnuP
-
jTextFieldyTitle
JTextField jTextFieldyTitle
-
jTextFieldyTitleGnuP
JTextField jTextFieldyTitleGnuP
-
measures
LinkedList<String> measures
-
path
String path
-
rf
ReadFile rf
-
streamModel
DefaultTableModel streamModel
-
-
-
Class moa.gui.experimentertab.PreviewExperiments extends JFrame implements Serializable
-
Serialized Fields
-
previewPanel
ExpPreviewPanel previewPanel
-
-
-
Class moa.gui.experimentertab.RankingGraph extends JFrame implements Serializable
-
Serialized Fields
-
algRank
ArrayList<RankPerAlgorithm> algRank
-
availableStrokeSamples
org.jfree.ui.StrokeSample[] availableStrokeSamples
-
btnDir
JButton btnDir
-
btnFont
JButton btnFont
-
btnLineDifStronke
JButton btnLineDifStronke
-
btnLineStroke
JButton btnLineStroke
-
btnSave
JButton btnSave
-
controlPanel
JPanel controlPanel
-
controlPanelDisplay
JPanel controlPanelDisplay
-
difStroke
org.jfree.ui.StrokeSample difStroke
-
exportPanel
JPanel exportPanel
-
gb
Graphics2D gb
-
graphPanel
JPanel graphPanel
-
graphPanelDisplay
JPanel graphPanelDisplay
-
height
int height
-
image
BufferedImage image
-
imgOptionsPanel
JPanel imgOptionsPanel
-
imgPath
String imgPath
-
pvalue
double pvalue
-
PValues
ArrayList<PValuePerTwoAlgorithm> PValues
-
stroke
org.jfree.ui.StrokeSample stroke
-
textFont
Font textFont
-
width
int width
-
x0
int x0
-
xScale
int xScale
-
xSlider
JSlider xSlider
-
y0
int y0
-
yScale
int yScale
-
ySlider
JSlider ySlider
-
zoomPanel
JPanel zoomPanel
-
-
-
Class moa.gui.experimentertab.RankingGraph.SliderPanel extends JPanel implements Serializable
-
Class moa.gui.experimentertab.SummaryTab extends JPanel implements Serializable
-
Serialized Fields
-
algorithmNames
LinkedList<String> algorithmNames
-
algoritmModel
DefaultTableModel algoritmModel
-
algotithmID
ArrayList<String> algotithmID
-
jButtonAddMeasure
JButton jButtonAddMeasure
-
jButtonDelAlgoritm
JButton jButtonDelAlgoritm
-
jButtonDelMeasure
JButton jButtonDelMeasure
-
jButtonDelStream
JButton jButtonDelStream
-
jButtonDleteRow
JButton jButtonDleteRow
-
jButtonResults
JButton jButtonResults
-
jButtonShowSummary
JButton jButtonShowSummary
-
jButtonSummarize
JButton jButtonSummarize
-
jComboBoxMeasure
JComboBox jComboBoxMeasure
-
jLabelMeasure
JLabel jLabelMeasure
-
jLabelResults
JLabel jLabelResults
-
jPanelConfig
JPanel jPanelConfig
-
jScrollPaneAlgorithms
JScrollPane jScrollPaneAlgorithms
-
jScrollPaneMeasure
JScrollPane jScrollPaneMeasure
-
jScrollPaneStreams
JScrollPane jScrollPaneStreams
-
jTableAlgoritms
JTable jTableAlgoritms
-
jTableMeasures
JTable jTableMeasures
-
jTableStreams
JTable jTableStreams
-
jTextFieldResultsPath
JTextField jTextFieldResultsPath
-
measureModel
DefaultTableModel measureModel
-
measures
LinkedList<String> measures
-
option
JComboBox option
-
rf
ReadFile rf
-
streamModel
DefaultTableModel streamModel
-
streamNames
LinkedList<String> streamNames
-
summary
Summary summary
-
-
-
Class moa.gui.experimentertab.SummaryViewer extends JFrame implements Serializable
-
Serialized Fields
-
bntExport
JButton bntExport
-
jTablePanel
JPanel jTablePanel
-
resultsPath
String resultsPath
-
scroll
JScrollPane scroll
-
summary
Summary summary
-
summaryTable
SummaryTable[] summaryTable
-
summaryType
JComboBox summaryType
-
tableSummary
JTable tableSummary
-
-
-
Class moa.gui.experimentertab.TaskManagerForm extends JPanel implements Serializable
-
Serialized Fields
-
jButtonAlgorithm
JButton jButtonAlgorithm
-
jButtonDelAlgoritm
JButton jButtonDelAlgoritm
-
jButtonDelStream
JButton jButtonDelStream
-
jButtonDir
JButton jButtonDir
-
jButtonOpenConfig
JButton jButtonOpenConfig
-
jButtonSaveConfig
JButton jButtonSaveConfig
-
jButtonStream
JButton jButtonStream
-
jButtonTask
JButton jButtonTask
-
jLabel1
JLabel jLabel1
-
jLabelDirectory
JLabel jLabelDirectory
-
jPanel1
JPanel jPanel1
-
jScrollPaneAlgorithms
JScrollPane jScrollPaneAlgorithms
-
jScrollPaneStreams
JScrollPane jScrollPaneStreams
-
jTableAlgorithms
JTable jTableAlgorithms
-
jTableStreams
JTable jTableStreams
-
jTextFieldDir
JTextField jTextFieldDir
-
jTextFieldTask
JTextField jTextFieldTask
-
-
-
Class moa.gui.experimentertab.TaskManagerTabPanel extends JPanel implements Serializable
-
Serialized Fields
-
algoritmModel
DefaultTableModel algoritmModel
-
analizeTab
AnalyzeTab analizeTab
-
currentTask
MainTask currentTask
-
detector
ChangeDetectorLearner detector
-
detectorStream
ConceptDriftGenerator detectorStream
-
initialString
String initialString
-
jButtonAlgorithm
JButton jButtonAlgorithm
-
jButtonCancel
JButton jButtonCancel
-
jButtonDelAlgoritm
JButton jButtonDelAlgoritm
-
jButtonDelete
JButton jButtonDelete
-
jButtonDelStream
JButton jButtonDelStream
-
jButtonDir
JButton jButtonDir
-
jButtonOpenConfig
JButton jButtonOpenConfig
-
jButtonPause
JButton jButtonPause
-
jButtonPreview
JButton jButtonPreview
-
jButtonReset
JButton jButtonReset
-
jButtonResume
JButton jButtonResume
-
jButtonRun
JButton jButtonRun
-
jButtonSaveConfig
JButton jButtonSaveConfig
-
jButtonStream
JButton jButtonStream
-
jButtonTask
JButton jButtonTask
-
jPanelConfig
JPanel jPanelConfig
-
jScrollPaneAlgorithms
JScrollPane jScrollPaneAlgorithms
-
jScrollPaneStreams
JScrollPane jScrollPaneStreams
-
jScrollPaneTaskTable
JScrollPane jScrollPaneTaskTable
-
jTableAlgorithms
JTable jTableAlgorithms
-
jTableStreams
JTable jTableStreams
-
jTextFieldDir
JTextField jTextFieldDir
-
jTextFieldProcess
JTextField jTextFieldProcess
-
jTextFieldTask
JTextField jTextFieldTask
-
learner
Classifier learner
-
listModelMonitor
DefaultListModel listModelMonitor
-
plot
PlotTab plot
-
preview
PreviewExperiments preview
-
previewPanel
ExpPreviewPanel previewPanel
-
resultsPath
String resultsPath
-
stream
AbstractOptionHandler stream
-
streamModel
DefaultTableModel streamModel
-
summary
SummaryTab summary
-
taskList
List<ExpTaskThread> taskList
-
taskTable
JTable taskTable
-
taskTableModel
TaskManagerTabPanel.TaskTableModel taskTableModel
-
-
-
Class moa.gui.experimentertab.TaskManagerTabPanel.ProgressCellRenderer extends JProgressBar implements Serializable
- serialVersionUID:
- 1L
-
Class moa.gui.experimentertab.TaskManagerTabPanel.TaskTableModel extends AbstractTableModel implements Serializable
- serialVersionUID:
- 1L
-
Class moa.gui.experimentertab.TaskTextViewerPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
acc1
MeasureCollection[] acc1
-
acc2
MeasureCollection[] acc2
-
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 comboX
-
comboY
JComboBox comboY
-
exportButton
JButton exportButton
-
graphCanvas
GraphCanvas graphCanvas
-
graphPanel
JPanel graphPanel
-
graphPanelControlBottom
JPanel graphPanelControlBottom
-
graphPanelControlTop
JPanel graphPanelControlTop
-
graphScrollPanel
JScrollPane graphScrollPanel
-
gridBagConstraints
GridBagConstraints gridBagConstraints
-
jLabel1
JLabel jLabel1
-
jSplitPane1
JSplitPane jSplitPane1
-
label_processed_points
JLabel label_processed_points
-
label_processed_points_value
JLabel label_processed_points_value
-
labelEvents
JLabel labelEvents
-
labelNumPause
JLabel labelNumPause
-
labelX
JLabel labelX
-
labelY
JLabel labelY
-
numPauseAfterPoints
JTextField numPauseAfterPoints
-
panelControl
JPanel panelControl
-
panelEvalOutput
JPanel panelEvalOutput
-
panelVisualWrapper
JPanel panelVisualWrapper
-
scrollPane
JScrollPane scrollPane
-
scrollPane0
JScrollPane scrollPane0
-
scrollPane1
JScrollPane scrollPane1
-
secondLine
String secondLine
-
speedSlider
JSlider speedSlider
-
splitVisual
JSplitPane splitVisual
-
streamPanel0
StreamPanel streamPanel0
-
streamPanel1
StreamPanel streamPanel1
-
taskManagerPanel
CDTaskManagerPanel taskManagerPanel
-
textArea
JTextArea textArea
-
topWrapper
JPanel topWrapper
-
typePanel
ExpPreviewPanel.TypePanel typePanel
-
-
-
Package moa.gui.experimentertab.tasks
-
Class moa.gui.experimentertab.tasks.ConceptDriftMainTask extends ExperimenterTask implements Serializable
-
Serialized Fields
-
events
ArrayList<ClusterEvent> events
-
-
-
Class moa.gui.experimentertab.tasks.EvaluateConceptDrift extends ConceptDriftMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
timeLimitOption
IntOption timeLimitOption
-
-
Class moa.gui.experimentertab.tasks.EvaluateInterleavedChunks extends ExperimenterTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
chunkSizeOption
IntOption chunkSizeOption
Allow to define the training/testing chunk size. -
evaluatorOption
ClassOption evaluatorOption
Allows to select the classifier performance evaluation method. -
instanceLimitOption
IntOption instanceLimitOption
Allows to define the maximum number of instances to test/train on (-1 = no limit). -
maxMemoryOption
IntOption maxMemoryOption
Allows to define the memory limit for the created model. -
memCheckFrequencyOption
IntOption memCheckFrequencyOption
Allows to define the frequency of memory checks. -
sampleFrequencyOption
IntOption sampleFrequencyOption
Defines how often classifier parameters will be calculated. -
timeLimitOption
IntOption timeLimitOption
Allows to define the maximum number of seconds to test/train for (-1 = no limit).
-
-
Class moa.gui.experimentertab.tasks.EvaluateInterleavedTestThenTrain extends ExperimenterTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
Class moa.gui.experimentertab.tasks.EvaluatePeriodicHeldOutTest extends ExperimenterTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cacheTestOption
FlagOption cacheTestOption
-
evaluatorOption
ClassOption evaluatorOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
testSizeOption
IntOption testSizeOption
-
trainSizeOption
IntOption trainSizeOption
-
trainTimeOption
IntOption trainTimeOption
-
-
Class moa.gui.experimentertab.tasks.EvaluatePrequential extends ExperimenterTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
timeLimitOption
IntOption timeLimitOption
-
widthOption
IntOption widthOption
-
-
Class moa.gui.experimentertab.tasks.EvaluatePrequentialCV extends ExperimenterTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
ensembleSizeOption
IntOption ensembleSizeOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
randomSeedOption
IntOption randomSeedOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
timeLimitOption
IntOption timeLimitOption
-
validationMethodologyOption
MultiChoiceOption validationMethodologyOption
-
-
Class moa.gui.experimentertab.tasks.ExperimenterTask extends AbstractTask implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.gui.featureanalysis
-
Class moa.gui.featureanalysis.AttributeSelectionPanel extends JPanel implements Serializable
- serialVersionUID:
- 627131485290359194L
-
Serialized Fields
-
m_IncludeAll
JButton m_IncludeAll
Press to select all attributes -
m_Invert
JButton m_Invert
Press to invert the current selection -
m_Model
moa.gui.featureanalysis.AttributeSelectionPanel.AttributeTableModel m_Model
The table model containing attribute names and selection status -
m_Pattern
JButton m_Pattern
Press to enter a perl regular expression for selection -
m_PatternRegEx
String m_PatternRegEx
The current regular expression. -
m_RemoveAll
JButton m_RemoveAll
Press to deselect all attributes -
m_Table
JTable m_Table
The table displaying attribute names and selection status
-
-
Class moa.gui.featureanalysis.AttributeSummaryPanel extends JPanel implements Serializable
- serialVersionUID:
- -5434987925737735880L
-
Serialized Fields
-
m_allEqualWeights
boolean m_allEqualWeights
Do all instances have the same weight -
m_AttributeNameLab
JLabel m_AttributeNameLab
Displays the name of the relation -
m_AttributeStats
weka.core.AttributeStats[] m_AttributeStats
Cached stats on the attributes we've summarized so far -
m_AttributeTypeLab
JLabel m_AttributeTypeLab
Displays the type of attribute -
m_DistinctLab
JLabel m_DistinctLab
Displays the number of distinct values -
m_Instances
Instances m_Instances
The instances we're playing with -
m_MissingLab
JLabel m_MissingLab
Displays the number of missing values -
m_samoaToWekaInstanceConverter
SamoaToWekaInstanceConverter m_samoaToWekaInstanceConverter
-
m_StatsTable
JTable m_StatsTable
Displays other stats in a table -
m_UniqueLab
JLabel m_UniqueLab
Displays the number of unique values
-
-
Class moa.gui.featureanalysis.AttributeVisualizationPanel extends weka.gui.visualize.PrintablePanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
m_as
weka.core.AttributeStats m_as
This holds the attribute stats of the current attribute on display. It is calculated in setAttribute(int idx) when it is called to set a new attribute index. -
m_asCache
weka.core.AttributeStats[] m_asCache
Cache of attribute stats info for the current data set -
m_attribIndex
int m_attribIndex
This holds the index of the current attribute on display and should be set through setAttribute(int idx). -
m_barRange
double m_barRange
Contains the range of each bar in a histogram. It is used to work out the range of bar the mouse pointer is on in getToolTipText(). -
m_classIndex
int m_classIndex
Contains the current class index. -
m_colorAttrib
JComboBox m_colorAttrib
This stores and lets the user select a class attribute. It also has an entry "No Class" if the user does not want to set a class attribute for colouring. -
m_colorList
ArrayList<Color> m_colorList
Contains discrete colours for colouring of subbars of histograms and bar plots when the class attribute is set and is nominal -
m_data
weka.core.Instances m_data
This holds the current set of instances -
m_displayCurrentAttribute
boolean m_displayCurrentAttribute
-
m_doneCurrentAttribute
boolean m_doneCurrentAttribute
-
m_fm
FontMetrics m_fm
Fontmetrics used to get the font size which is required for calculating displayable area size, bar height ratio and width of strings that are displayed on top of bars indicating their count. -
m_hc
Thread m_hc
This stores the BarCalc or HistCalc thread while a new barplot or histogram is being calculated. -
m_histBarClassCounts
weka.core.SparseInstance[] m_histBarClassCounts
This array holds the per class count (or per class height) of the each of the bars in a barplot or a histogram. For nominal attributes the format is:
m_histBarClassCounts[nominalValue][classValue+1]. For numeric attributes the format is:
m_histBarClassCounts[interval][classValues+1],
where the number of intervals is calculated by the Scott's method as mentioned above. The array is initialized to have 1+numClasses to accomodate for instances with missing class value. The ones with missing class value are displayed as a black sub par in a histogram or a barplot. NOTE: The values of this array are only calculated if the class attribute is set and it is nominal. -
m_histBarCounts
double[] m_histBarCounts
This array holds the count (or height) for the each of the bars in a barplot or a histogram. In case of barplots (and current attribute being nominal) its length (and the number of bars) is equal to the number of nominal values in the current attribute, with each field of the array being equal to the count of each nominal that it represents (the count of ith nominal value of an attribute is given by m_as.nominalWeights[i]). Whereas, in case of histograms (and current attribute being numeric) the width of its intervals is calculated by Scott's(1979) method:
intervalWidth = Max(1, 3.49*Std.Dev*numInstances^(1/3)) And the number of intervals by:
intervals = max(1, Math.round(Range/intervalWidth); Then each field of this array contains the number of values of the current attribute that fall in the histogram interval that it represents.
NOTE: The values of this array are only calculated if the class attribute is not set or if it is numeric. -
m_locker
Integer m_locker
Lock variable to synchronize the different threads running currently in this class. There are two to three threads in this class, AWT paint thread which is handled differently in paintComponent() which checks on m_threadRun to determine if it can perform full paint or not, the second thread is the main execution thread and the third is the one represented by m_hc which we start when we want to calculate the internal fields for a bar plot or a histogram. -
m_maxValue
double m_maxValue
This holds the max value of the current attribute. In case of nominal attribute it is the highest count that a nominal value has in the attribute (given by m_as.nominalWeights[i]), otherwise in case of numeric attribute it is simply the maximum value present in the attribute (given by m_as.numericStats.max). It is used to calculate the ratio of the height of the bars with respect to the height of the display area. -
m_threadRun
boolean m_threadRun
True if the thread m_hc above is running.
-
-
Class moa.gui.featureanalysis.FeatureAnalysisTabPanel extends AbstractTabPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
fip
FeatureImportancePanel fip
Use Singleton design pattern to ensure the object created here and the object created in DataAnalysisPanel.java are the same object in memory. -
tabs
JTabbedPane tabs
-
visualizeFeaturesPanel
VisualizeFeaturesPanel visualizeFeaturesPanel
-
-
Class moa.gui.featureanalysis.FeatureImportanceDataModelPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
m_IncludeAll
JButton m_IncludeAll
Press to select all attributes -
m_Instances
Instances m_Instances
The dataset. -
m_Invert
JButton m_Invert
Press to invert the current selection -
m_Model
moa.gui.featureanalysis.FeatureImportanceDataModelPanel.FeatureImportanceDataModel m_Model
The table model containing attribute names and selection status -
m_Pattern
JButton m_Pattern
Press to enter a perl regular expression for selection -
m_PatternRegEx
String m_PatternRegEx
The current regular expression. -
m_RemoveAll
JButton m_RemoveAll
Press to deselect all attributes -
m_Table
JTable m_Table
The table displaying attribute names and selection status
-
-
Class moa.gui.featureanalysis.FeatureImportanceGraph extends JPanel implements Serializable
-
Serialized Fields
-
m_attributeNames
String[] m_attributeNames
Attribute names of dataset except the class attribute. -
m_featureImportance
double[][] m_featureImportance
Store feature importance scores. -
m_selectedAttributeIndices
int[] m_selectedAttributeIndices
The selected attribute indices. -
plot
org.math.plot.Plot2DPanel plot
THe drawing tool provided by jmathplot.jar
-
-
-
Class moa.gui.featureanalysis.FeatureImportancePanel extends weka.gui.AbstractPerspective implements Serializable
-
Serialized Fields
-
configureTaskButton
JButton configureTaskButton
-
currentTask
MainTask currentTask
Configure GUI so that user can set parameters for feature importance algorithm and trigger task execution to compute scores of feature importance. -
featureImportanceDataModelPanel
FeatureImportanceDataModelPanel featureImportanceDataModelPanel
Feature importance data model includes two parts, the dataset and scores which will be shown in table so user can view data and choose which feature importance scores to be shown in line graph. -
featureImportanceGraph
FeatureImportanceGraph featureImportanceGraph
Show line graphs for user selected feature importance. -
m_Instances
Instances m_Instances
This holds the current set of instances -
m_selectedAttributeIndices
int[] m_selectedAttributeIndices
The selected attribute indices. -
m_windowSize
int m_windowSize
The default windowSize parameter for feature importance algorithm. -
plot
org.math.plot.Plot2DPanel plot
THe drawing tool provided by jmathplot.jar -
PREF_NAME
String PREF_NAME
-
prefs
Preferences prefs
Store user's preference parameters for feature importance algorithm. -
progressBar
JProgressBar progressBar
Use progress bar to show the progress of computing scores of feature importance. -
progressLabel
JLabel progressLabel
-
runTaskButton
JButton runTaskButton
-
scores
double[][] scores
Feature importance scores produced by feature importance algorithm. -
taskDescField
JTextField taskDescField
-
taskList
List<TaskThread> taskList
Tasks are encapsulated in task thread to execute. This List Stores tasks threads which include the execution results of the threads.
-
-
-
Class moa.gui.featureanalysis.InstancesSummaryPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
m_Instances
Instances m_Instances
The instances we're playing with -
m_NumAttributesLab
JLabel m_NumAttributesLab
Displays the number of attributes -
m_NumInstancesLab
JLabel m_NumInstancesLab
Displays the number of instances -
m_RelationNameLab
JLabel m_RelationNameLab
Displays the name of the relation -
m_samoaToWekaInstanceConverter
SamoaToWekaInstanceConverter m_samoaToWekaInstanceConverter
-
m_showZeroInstancesAsUnknown
boolean m_showZeroInstancesAsUnknown
Whether to display 0 or ? for the number of instances in cases where a dataset has only structure. Depending on where this panel is used from, the user may have loaded a dataset with no instances or a Loader that can read incrementally may be being used (in which case we don't know how many instances are in the dataset... yet).
-
-
Class moa.gui.featureanalysis.LineAndScatterPanel extends JPanel implements Serializable
-
Serialized Fields
-
featureVectorList
List<double[]> featureVectorList
Double list which store the feature data -
m_attributeIndex
int m_attributeIndex
The attribute index starting from 0 -
m_attributeName
String m_attributeName
Attribute name -
m_data
Instances m_data
This holds the current set of instances -
m_featureRange
String m_featureRange
The string of feature range. For example,"feature range: 1 -- 9". -
m_featureRangeEndIndex
int m_featureRangeEndIndex
The feature range end index. For example, if the feature range is from 1 to 9, then the start index is 1 and the end index is 9. The default plot number in a popup screen is 9 at most. -
m_featureRangeStartIndex
int m_featureRangeStartIndex
The feature range start index. For example, if the feature range is from 1 to 9, then the start index is 1 and the end index is 9. The default plot number in a popup screen is 9 at most. -
m_intEndIndex
int m_intEndIndex
The end instance index of x axis for line graph or scatter diagram -
m_intStartIndex
int m_intStartIndex
The start instance index of x axis for line graph or scatter diagram -
m_selectedPlotTyeIndex
int m_selectedPlotTyeIndex
plot type drop list: "plot type: Line graph" "plot type: Scatter diagram" "No plot type" m_selectedPlotTyeIndex means the selected plot index -
m_selectedPlotTyeItem
String m_selectedPlotTyeItem
The string of the the selected plot type such as "plot type: Line graph" -
plot
org.math.plot.Plot2DPanel plot
THe drawing tool provided by jmathplot.jar
-
-
-
Class moa.gui.featureanalysis.VisualizeFeaturesPanel extends weka.gui.AbstractPerspective implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
fip
FeatureImportancePanel fip
This is the FeatureImportance Tab panel -
m_AttPanel
AttributeSelectionPanel m_AttPanel
Panel to let the user toggle attributes -
m_AttSummaryPanel
AttributeSummaryPanel m_AttSummaryPanel
Displays summary stats on the selected attribute -
m_AttVisualizePanel
AttributeVisualizationPanel m_AttVisualizePanel
The visualization of the attribute values -
m_endIndex
JLabel m_endIndex
The start instance index label to prompt user to input end index number -
m_endInstanceInput
JFormattedTextField m_endInstanceInput
Format m_intEndIndex -
m_featureRangeBox
JComboBox m_featureRangeBox
Set feature range shown in a popup window In default, Nine plots is shown in every popup window at most. -
m_FileChooser
weka.gui.ConverterFileChooser m_FileChooser
The file chooser for selecting data files -
m_graphPanel
LineAndScatterPanel m_graphPanel
This panel is used to draw line graphs or scatter diagrams -
m_Instances
Instances m_Instances
The working instances -
m_InstSummaryPanel
InstancesSummaryPanel m_InstSummaryPanel
Displays simple stats on the working instances -
m_intEndIndex
int m_intEndIndex
The end instance index of x axis for line graph or scatter diagram -
m_intStartIndex
int m_intStartIndex
The start instance index of x axis for line graph or scatter diagram -
m_IOThread
Thread m_IOThread
A thread for loading/saving instances from a file or URL -
m_Log
weka.gui.Logger m_Log
The message logger -
m_OpenFileBut
JButton m_OpenFileBut
Click to load base instances from a file -
m_plotAmplify
JButton m_plotAmplify
Click to amplify line graph or scatter diagram so that user can see plot more clearly -
m_plotTypeBox
JComboBox m_plotTypeBox
plot type drop list: "plot type: Line graph" "plot type: Scatter diagram" "No plot type" -
m_RemoveButton
JButton m_RemoveButton
Button for removing attributes -
m_samoaToWekaInstanceConverter
SamoaToWekaInstanceConverter m_samoaToWekaInstanceConverter
Instance converter from Samoa instance to Weak Instance -
m_SaveBut
JButton m_SaveBut
Click to apply filters and save the results -
m_selectedPlotTypeIndex
int m_selectedPlotTypeIndex
The index of the selected plot type index -
m_sendToPerspective
JMenu m_sendToPerspective
For sending instances to various perspectives/tabs -
m_startIndex
JLabel m_startIndex
The start instance index label to prompt user to input start index number -
m_startInstanceInput
JFormattedTextField m_startInstanceInput
Format m_intStartIndex -
m_Support
PropertyChangeSupport m_Support
Manages sending notifications to people when we change the set of working instances. -
m_visAllGraphBut
JButton m_visAllGraphBut
Visualize all line graphs or scatter diagrams, not histograms or bar charts -
m_wekaToSamoaInstanceConverter
WekaToSamoaInstanceConverter m_wekaToSamoaInstanceConverter
Instance converter from Weak instance to Samoa Instance
-
-
Class moa.gui.featureanalysis.VisualizeFeaturesPanel.PreprocessDefaults extends weka.core.Defaults implements Serializable
-
-
Package moa.gui.outliertab
-
Class moa.gui.outliertab.OutlierAlgoPanel extends JPanel implements Serializable
-
Serialized Fields
-
algorithmOption0
ClassOption algorithmOption0
-
algorithmOption1
ClassOption algorithmOption1
-
editComponents
List<OptionEditComponent> editComponents
-
streamOption
ClassOption streamOption
-
-
-
Class moa.gui.outliertab.OutlierEvalPanel extends JPanel implements Serializable
-
Class moa.gui.outliertab.OutlierSetupTab extends JPanel implements Serializable
-
Serialized Fields
-
buttonExport
JButton buttonExport
-
buttonExportSettings
JButton buttonExportSettings
-
buttonImportSettings
JButton buttonImportSettings
-
buttonStart
JButton buttonStart
-
buttonStop
JButton buttonStop
-
buttonWeka
JButton buttonWeka
-
lastfile
String lastfile
-
logPanel
TextViewerPanel logPanel
-
outlierAlgoPanel0
OutlierAlgoPanel outlierAlgoPanel0
-
outlierEvalPanel1
OutlierEvalPanel outlierEvalPanel1
-
outlierTab
OutlierTabPanel outlierTab
-
-
-
Class moa.gui.outliertab.OutlierTabPanel extends AbstractTabPanel implements Serializable
-
Serialized Fields
-
jTabbedPane1
JTabbedPane jTabbedPane1
-
outlierSetupTab
OutlierSetupTab outlierSetupTab
-
outlierVisualTab
OutlierVisualTab outlierVisualTab
-
-
-
Class moa.gui.outliertab.OutlierVisualEvalPanel extends JPanel implements Serializable
-
Serialized Fields
-
contentPanel
JPanel contentPanel
-
labelCurrent0
JLabel labelCurrent0
-
labelDummy
JLabel labelDummy
-
labelMean0
JLabel labelMean0
-
labelMeasure
JLabel labelMeasure
-
measures0
MeasureCollection[] measures0
-
names
ArrayList<JLabel> names
-
radiobuttons
ArrayList<JRadioButton> radiobuttons
-
radioGroup
ButtonGroup radioGroup
-
scrollPane
JScrollPane scrollPane
-
values
ArrayList<JLabel> values
-
-
-
Class moa.gui.outliertab.OutlierVisualTab extends JPanel implements Serializable
-
Serialized Fields
-
buttonRedraw
JButton buttonRedraw
-
buttonRun
JButton buttonRun
-
buttonScreenshot
JButton buttonScreenshot
-
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 comboX
-
comboY
JComboBox comboY
-
exportFile
String exportFile
-
graphCanvas
GraphCanvas graphCanvas
-
graphPanel
JPanel graphPanel
-
graphPanelControlBottom
JPanel graphPanelControlBottom
-
graphPanelControlTop
JPanel graphPanelControlTop
-
graphScrollPanel
JScrollPane graphScrollPanel
-
jLabel1
JLabel jLabel1
-
jSplitPane1
JSplitPane jSplitPane1
-
label_processed_points
JLabel label_processed_points
-
label_processed_points_value
JLabel label_processed_points_value
-
labelEvents
JLabel labelEvents
-
labelNumPause
JLabel labelNumPause
-
labelX
JLabel labelX
-
labelY
JLabel labelY
-
numPauseAfterPoints
JTextField numPauseAfterPoints
-
outlierSetupTab
OutlierSetupTab outlierSetupTab
-
panelControl
JPanel panelControl
-
panelEvalOutput
JPanel panelEvalOutput
-
panelVisualWrapper
JPanel panelVisualWrapper
-
running
Boolean running
-
screenshotFilebase
String screenshotFilebase
-
scrollPane0
JScrollPane scrollPane0
-
scrollPane1
JScrollPane scrollPane1
-
speedSlider
JSlider speedSlider
-
splitVisual
JSplitPane splitVisual
-
streamPanel0
StreamOutlierPanel streamPanel0
-
streamPanel1
StreamOutlierPanel streamPanel1
-
topWrapper
JPanel topWrapper
-
visualizer
RunOutlierVisualizer visualizer
-
visualizerThread
Thread visualizerThread
-
-
-
-
Package moa.gui.visualization
-
Class moa.gui.visualization.AbstractGraphAxes extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
height
int height
-
lower_x_value
double lower_x_value
-
max_x_value
double max_x_value
-
max_y_value
double max_y_value
-
min_x_value
double min_x_value
-
upper_x_value
double upper_x_value
-
upper_y_value
double upper_y_value
-
width
int width
-
x_resolution
double x_resolution
-
y_resolution
double y_resolution
-
-
Class moa.gui.visualization.AbstractGraphCanvas extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
axesPanel
AbstractGraphAxes axesPanel
-
baseHeight
double baseHeight
-
baseWidth
double baseWidth
-
max_x_value
double max_x_value
-
max_y_value
double max_y_value
-
measures
MeasureCollection[] measures
-
measureSelected
int measureSelected
-
measureStds
MeasureCollection[] measureStds
-
min_x_value
double min_x_value
-
plotPanel
AbstractGraphPlot plotPanel
-
x_resolution
double x_resolution
-
y_resolution
double y_resolution
-
-
Class moa.gui.visualization.AbstractGraphPlot extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
colors
Color[] colors
-
isStandardDeviationPainted
boolean isStandardDeviationPainted
-
lower_x_value
double lower_x_value
-
max_x_value
double max_x_value
-
max_y_value
double max_y_value
-
measures
MeasureCollection[] measures
-
measureSelected
int measureSelected
-
measureStds
MeasureCollection[] measureStds
-
min_x_value
double min_x_value
-
upper_x_value
double upper_x_value
-
upper_y_value
double upper_y_value
-
x_resolution
double x_resolution
-
-
Class moa.gui.visualization.ClusterPanel extends JPanel implements Serializable
-
Serialized Fields
-
center
double[] center
-
cluster
SphereCluster cluster
-
col
Color col
-
decay_rate
double decay_rate
-
default_color
Color default_color
-
direction
double[] direction
-
highligted
boolean highligted
-
panel_size
int panel_size
-
r
double r
-
streamPanel
StreamPanel streamPanel
-
window_size
int window_size
-
x_dim
int x_dim
-
y_dim
int y_dim
-
-
-
Class moa.gui.visualization.DataPoint extends DenseInstance implements Serializable
- serialVersionUID:
- 1L
-
Class moa.gui.visualization.GraphAxes extends JPanel implements Serializable
-
Serialized Fields
-
height
int height
-
max_value
double max_value
-
max_x_value
int max_x_value
-
min_value
double min_value
-
processFrequency
int processFrequency
-
width
int width
-
x_offset_left
int x_offset_left
-
x_offset_right
int x_offset_right
-
x_resolution
double x_resolution
-
y_offset_bottom
int y_offset_bottom
-
y_offset_top
int y_offset_top
-
-
-
Class moa.gui.visualization.GraphCanvas extends JPanel implements Serializable
-
Serialized Fields
-
axesPanel
GraphAxes axesPanel
-
clusterEvents
ArrayList<ClusterEvent> clusterEvents
-
curvePanel
GraphCurve curvePanel
-
eventCounter
int eventCounter
-
eventLabelList
ArrayList<JLabel> eventLabelList
-
eventPanel
JPanel eventPanel
-
max_x_value
double max_x_value
-
max_y_value
double max_y_value
-
measure0
MeasureCollection measure0
-
measure1
MeasureCollection measure1
-
measureSelected
int measureSelected
-
min_y_value
double min_y_value
-
processFrequency
int processFrequency
-
viewport
JViewport viewport
-
x_offset_left
int x_offset_left
-
x_offset_right
int x_offset_right
-
x_resolution
double x_resolution
-
y_offset_bottom
int y_offset_bottom
-
y_offset_top
int y_offset_top
-
y_resolution
double y_resolution
-
-
-
Class moa.gui.visualization.GraphCurve extends JPanel implements Serializable
-
Serialized Fields
-
clusterEvents
ArrayList<ClusterEvent> clusterEvents
-
max_value
double max_value
-
measure0
MeasureCollection measure0
-
measure1
MeasureCollection measure1
-
measureSelected
int measureSelected
-
min_value
double min_value
-
processFrequency
int processFrequency
-
x_resolution
double x_resolution
-
-
-
Class moa.gui.visualization.GraphMultiCurve extends AbstractGraphPlot implements Serializable
- serialVersionUID:
- 1L
-
Class moa.gui.visualization.GraphScatter extends AbstractGraphPlot implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
variedParamValues
double[] variedParamValues
-
-
Class moa.gui.visualization.InfoPanel extends JPanel implements Serializable
-
Class moa.gui.visualization.OutlierPanel extends JPanel implements Serializable
-
Serialized Fields
-
bAntiAlias
boolean bAntiAlias
-
center
double[] center
-
cluster
SphereCluster cluster
-
col
Color col
-
decay_rate
double decay_rate
-
default_color
Color default_color
-
frameInfo
JDialog frameInfo
-
highligted
boolean highligted
-
myOutlier
MyBaseOutlierDetector.Outlier myOutlier
-
myOutlierDetector
MyBaseOutlierDetector myOutlierDetector
-
panel_size
int panel_size
-
r
double r
-
streamPanel
StreamOutlierPanel streamPanel
-
window_size
int window_size
-
x_dim
int x_dim
-
y_dim
int y_dim
-
-
-
Class moa.gui.visualization.ParamGraphAxes extends AbstractGraphAxes implements Serializable
- serialVersionUID:
- 1L
-
Class moa.gui.visualization.ParamGraphCanvas extends AbstractGraphCanvas implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
variedParamValues
double[] variedParamValues
-
-
Class moa.gui.visualization.PointPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
col
Color col
-
decayRate
double decayRate
-
decayThreshold
double decayThreshold
-
default_color
Color default_color
-
highligted
boolean highligted
-
panel_size
int panel_size
-
point
DataPoint point
-
sp
StreamPanel sp
-
type
int type
-
TYPE_CLUSTERED
int TYPE_CLUSTERED
-
TYPE_PLAIN
int TYPE_PLAIN
-
window_size
int window_size
-
x_dim
int x_dim
-
y_dim
int y_dim
-
-
Class moa.gui.visualization.ProcessGraphAxes extends AbstractGraphAxes implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
processFrequency
int processFrequency
-
-
Class moa.gui.visualization.ProcessGraphCanvas extends AbstractGraphCanvas implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
min_processFrequency
int min_processFrequency
-
processFrequencies
int[] processFrequencies
-
-
Class moa.gui.visualization.StreamOutlierPanel extends JPanel implements Serializable
-
Serialized Fields
-
activeXDim
int activeXDim
-
activeYDim
int activeYDim
-
bAntiAlias
boolean bAntiAlias
-
canvasImg
BufferedImage canvasImg
-
EVENTSIZE
int EVENTSIZE
-
height_org
int height_org
-
highlighted_outlier
OutlierPanel highlighted_outlier
-
layerAlgorithmTitle
moa.gui.visualization.StreamOutlierPanel.LabelAlgorithmPanel layerAlgorithmTitle
-
layerCanvas
moa.gui.visualization.StreamOutlierPanel.ImgPanel layerCanvas
-
layerOutliers
JPanel layerOutliers
-
m_outlierDetector
MyBaseOutlierDetector m_outlierDetector
-
m_visualizer
RunOutlierVisualizer m_visualizer
-
pointImg
BufferedImage pointImg
-
width_org
int width_org
-
zoom
int zoom
-
zoom_factor
double zoom_factor
-
-
-
Class moa.gui.visualization.StreamPanel extends JPanel implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
activeXDim
int activeXDim
-
activeYDim
int activeYDim
-
ANTIALIAS
boolean ANTIALIAS
-
height_org
int height_org
-
highlighted_cluster
ClusterPanel highlighted_cluster
-
layerGroundTruth
JPanel layerGroundTruth
-
layerMacro
JPanel layerMacro
-
layerMicro
JPanel layerMicro
-
layerPointCanvas
moa.gui.visualization.StreamPanel.pointCanvasPanel layerPointCanvas
-
layerPoints
JPanel layerPoints
-
pointCanvas
BufferedImage pointCanvas
-
pointsVisible
boolean pointsVisible
-
width_org
int width_org
-
zoom
int zoom
-
zoom_factor
double zoom_factor
-
-
-
Package moa.learners
-
Class moa.learners.ChangeDetectorLearner extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
driftDetectionMethod
ChangeDetector driftDetectionMethod
-
driftDetectionMethodOption
ClassOption driftDetectionMethodOption
-
-
-
Package moa.learners.featureanalysis
-
Class moa.learners.featureanalysis.ClassifierWithFeatureImportance extends AbstractClassifier implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
debugFileOption
FileOption debugFileOption
-
debugStream
PrintStream debugStream
-
doNotNormalizeFeatureScoreOption
FlagOption doNotNormalizeFeatureScoreOption
-
doNotOutputResultsToFileOption
FlagOption doNotOutputResultsToFileOption
-
featureImportanceClassifierLearner
FeatureImportanceClassifier featureImportanceClassifierLearner
-
featureImportanceLearnerOption
ClassOption featureImportanceLearnerOption
-
instancesSeen
long instancesSeen
-
max
double max
-
maxFeaturesDebugOption
IntOption maxFeaturesDebugOption
-
mean
double mean
-
median
double median
-
min
double min
-
sum
double sum
-
windowSizeOption
IntOption windowSizeOption
-
-
Class moa.learners.featureanalysis.FeatureImportanceHoeffdingTree extends AbstractClassifier implements Serializable
-
Serialized Fields
-
featureImportanceOption
MultiChoiceOption featureImportanceOption
-
featureImportances
double[] featureImportances
-
featureImportancesInquiries
int featureImportancesInquiries
-
nodeCountAtLastFeatureImportanceInquiry
int nodeCountAtLastFeatureImportanceInquiry
-
treeLearner
HoeffdingTree treeLearner
-
treeLearnerOption
ClassOption treeLearnerOption
-
-
-
Class moa.learners.featureanalysis.FeatureImportanceHoeffdingTreeEnsemble extends AbstractClassifier implements Serializable
-
Serialized Fields
-
ensemble
Classifier ensemble
-
ensembleLearnerOption
ClassOption ensembleLearnerOption
-
featureImportances
double[] featureImportances
-
hoeffdingTreeFeatureImportanceOption
ClassOption hoeffdingTreeFeatureImportanceOption
-
htFeatureImportanceBase
FeatureImportanceHoeffdingTree htFeatureImportanceBase
-
-
-
-
Package moa.options
-
Class moa.options.AbstractClassOption extends AbstractOption implements Serializable
- serialVersionUID:
- 1L
-
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
-
evalTaskOption
ClassOptionWithListenerOption evalTaskOption
-
lastEvalTaskCLIString
String lastEvalTaskCLIString
-
variedParamNameOption
EditableMultiChoiceOption variedParamNameOption
-
-
Class moa.options.EditableMultiChoiceOption extends MultiChoiceOption implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
editComponent
EditableMultiChoiceOptionEditComponent editComponent
The corresponding UI component
-
-
Class moa.options.OptionsHandler extends JavaCLIParser implements Serializable
-
Class moa.options.RequiredOptionNotSpecifiedException extends Exception implements Serializable
- serialVersionUID:
- 1L
-
Class moa.options.WEKAClassOption extends AbstractClassOption implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.recommender.data
-
Class moa.recommender.data.MemRecommenderData extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
drm
MemRecommenderData drm
-
-
-
-
Package moa.recommender.dataset.impl
-
Class moa.recommender.dataset.impl.FlixsterDataset extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
br
BufferedReader br
-
fileOption
FileOption fileOption
-
strLine
String strLine
-
-
-
Class moa.recommender.dataset.impl.JesterDataset extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
br
BufferedReader br
-
fileOption
FileOption fileOption
-
strLine
String strLine
-
-
-
Class moa.recommender.dataset.impl.MovielensDataset extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
br
BufferedReader br
-
fileOption
FileOption fileOption
-
strLine
String strLine
-
-
-
-
Package moa.recommender.predictor
-
Class moa.recommender.predictor.BaselinePredictor extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
dataOption
ClassOption dataOption
-
rp
BaselinePredictor rp
-
-
-
Class moa.recommender.predictor.BRISMFPredictor extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
dataOption
ClassOption dataOption
-
featuresOption
IntOption featuresOption
-
iterationsOption
IntOption iterationsOption
-
lRateOption
FloatOption lRateOption
-
rFactorOption
FloatOption rFactorOption
-
rp
BRISMFPredictor rp
-
-
-
-
Package moa.recommender.rc.data
-
Class moa.recommender.rc.data.AbstractRecommenderData extends Object implements Serializable
- serialVersionUID:
- -5409390358073330733L
-
-
Package moa.recommender.rc.data.impl
-
Class moa.recommender.rc.data.impl.MemRecommenderData extends AbstractRecommenderData implements Serializable
- serialVersionUID:
- 2844235954903772074L
-
Serialized Fields
-
itemsStats
Map<Integer,moa.recommender.rc.data.impl.MemRecommenderData.EntityStats> itemsStats
-
maxRating
double maxRating
-
minRating
double minRating
-
nItems
int nItems
-
nRatings
int nRatings
-
nUsers
int nUsers
-
ratingsItem
Map<Integer,Map<Integer,Double>> ratingsItem
-
ratingsUser
Map<Integer,Map<Integer,Double>> ratingsUser
-
sumRatings
double sumRatings
-
usersStats
Map<Integer,moa.recommender.rc.data.impl.MemRecommenderData.EntityStats> usersStats
-
-
-
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
-
Class moa.recommender.rc.utils.Pair extends Object implements Serializable
- serialVersionUID:
- -1048781440947783998L
-
Serialized Fields
-
first
T extends Comparable<T> first
-
second
U extends Comparable<U> second
-
-
Class moa.recommender.rc.utils.SparseVector extends Vector implements Serializable
- serialVersionUID:
- 1971022389328939125L
-
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
-
clusterEvents
ArrayList<ClusterEvent> clusterEvents
-
fileProgressMonitor
InputStreamProgressMonitor fileProgressMonitor
-
fileReader
Reader fileReader
-
hitEndOfFile
boolean hitEndOfFile
-
instances
Instances instances
-
lastInstanceRead
InstanceExample lastInstanceRead
-
numInstancesRead
int numInstancesRead
-
-
Class moa.streams.BootstrappedStream extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
originalStream
MultiTargetInstanceStream originalStream
-
queuedInstance
Example<Instance> queuedInstance
-
randomGenerator
Random randomGenerator
-
randomSeedOption
IntOption randomSeedOption
-
streamOption
ClassOption streamOption
-
waitingToSend
int waitingToSend
-
-
Class moa.streams.CachedInstancesStream extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
streamPos
int streamPos
-
toStream
Instances toStream
-
-
Class moa.streams.ConceptDriftRealStream extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
driftInstance
Instance driftInstance
-
driftStream
InstanceStream driftStream
-
driftstreamOption
ClassOption driftstreamOption
-
inputInstance
Instance inputInstance
-
inputStream
InstanceStream inputStream
-
numberInstanceStream
int numberInstanceStream
-
positionOption
IntOption positionOption
-
random
Random random
-
randomSeedOption
IntOption randomSeedOption
-
streamHeader
InstancesHeader streamHeader
-
streamOption
ClassOption streamOption
-
widthOption
IntOption widthOption
-
-
Class moa.streams.ConceptDriftStream extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
driftStream
ExampleStream driftStream
-
driftstreamOption
ClassOption driftstreamOption
-
inputStream
ExampleStream inputStream
-
numberInstanceStream
int numberInstanceStream
-
positionOption
IntOption positionOption
-
random
Random random
-
randomSeedOption
IntOption randomSeedOption
-
streamOption
ClassOption streamOption
-
widthOption
IntOption widthOption
-
-
Class moa.streams.FilteredStream extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
filterChain
ExampleStream filterChain
-
filtersOption
ClassOption filtersOption
-
streamOption
ClassOption streamOption
-
-
Class moa.streams.ImbalancedStream extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
classRatioOption
StringOption classRatioOption
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
instancesBuffer
Instances[] instancesBuffer
-
numClasses
int numClasses
-
originalStream
ExampleStream originalStream
-
probPerClass
double[] probPerClass
-
random
Random random
-
streamOption
ClassOption streamOption
-
-
-
Class moa.streams.IrrelevantFeatureAppenderStream extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
newHeader
InstancesHeader newHeader
The header with the new features appended. -
numCategoricalFeaturesOption
IntOption numCategoricalFeaturesOption
-
numNumericFeaturesOption
IntOption numNumericFeaturesOption
-
numValuesCategoricalFeatureOption
IntOption numValuesCategoricalFeatureOption
-
originalStream
ExampleStream originalStream
The original stream. -
random
Random random
A pseudo-random number generator. -
streamOption
ClassOption streamOption
-
-
-
Class moa.streams.MultiFilteredStream extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
filterChain
ExampleStream filterChain
-
filtersOption
ListOption filtersOption
-
streamOption
ClassOption streamOption
-
-
Class moa.streams.MultiLabelFilteredStream extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
filterChain
ExampleStream filterChain
-
filtersOption
ClassOption filtersOption
-
streamOption
ClassOption streamOption
-
-
Class moa.streams.MultiTargetArffFileStream extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
arffFileOption
FileOption arffFileOption
-
fileProgressMonitor
InputStreamProgressMonitor fileProgressMonitor
-
fileReader
Reader fileReader
-
hitEndOfFile
boolean hitEndOfFile
-
instances
Instances instances
-
lastInstanceRead
InstanceExample lastInstanceRead
-
numInstancesRead
int numInstancesRead
-
outputAttributesOption
RangeOption outputAttributesOption
-
-
Class moa.streams.PartitioningStream extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
baseStream
ExampleStream baseStream
-
numPartitions
int numPartitions
-
numPartitionsOption
IntOption numPartitionsOption
-
partitionIndex
int partitionIndex
-
partitionIndexOption
IntOption partitionIndexOption
-
random
Random random
-
randomSeedOption
IntOption randomSeedOption
-
streamOption
ClassOption streamOption
-
-
Class moa.streams.RecurrentConceptDriftStream extends ConceptDriftStream implements Serializable
- serialVersionUID:
- 1L
-
-
Package moa.streams.clustering
-
Class moa.streams.clustering.ClusterEvent extends EventObject implements Serializable
-
Class moa.streams.clustering.ClusteringStream extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
decayHorizonOption
IntOption decayHorizonOption
-
decayThresholdOption
FloatOption decayThresholdOption
-
evaluationFrequencyOption
IntOption evaluationFrequencyOption
-
numAttsOption
IntOption numAttsOption
-
-
-
Class moa.streams.clustering.FileStream extends ClusteringStream implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
arffFileOption
FileOption arffFileOption
-
classIndexOption
IntOption classIndexOption
-
defaultfile
String defaultfile
-
fileProgressMonitor
InputStreamProgressMonitor fileProgressMonitor
-
fileReader
Reader fileReader
-
filteredDataset
Instances filteredDataset
-
hitEndOfFile
boolean hitEndOfFile
-
instances
Instances instances
-
keepNonNumericalAttrOption
FlagOption keepNonNumericalAttrOption
-
lastInstanceRead
InstanceExample lastInstanceRead
-
normalizeOption
FlagOption normalizeOption
-
numInstancesRead
int numInstancesRead
-
removeAttributes
Integer[] removeAttributes
-
removeAttributesOption
ListOption removeAttributesOption
-
valuesMinMaxDiff
ArrayList<Double[]> valuesMinMaxDiff
-
-
Class moa.streams.clustering.RandomRBFGeneratorEvents extends ClusteringStream implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
clusterIdCounter
int clusterIdCounter
-
debug
boolean debug
-
densityRangeOption
FloatOption densityRangeOption
-
eventDeleteCreateOption
FlagOption eventDeleteCreateOption
-
eventFrequencyOption
IntOption eventFrequencyOption
-
eventFrequencyRange
double eventFrequencyRange
-
eventMergeSplitOption
FlagOption eventMergeSplitOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
kernelMovePointFrequency
int kernelMovePointFrequency
-
kernelRadiiOption
FloatOption kernelRadiiOption
-
kernelRadiiRangeOption
FloatOption kernelRadiiRangeOption
-
kernels
AutoExpandVector<moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster> kernels
-
maxDistanceMoveThresholdByStep
double maxDistanceMoveThresholdByStep
-
maxOverlapFitRuns
int maxOverlapFitRuns
-
merge_threshold
double merge_threshold
-
mergeClusterA
moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster mergeClusterA
-
mergeClusterB
moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster mergeClusterB
-
mergeKernelsOverlapping
boolean mergeKernelsOverlapping
-
modelRandomSeedOption
IntOption modelRandomSeedOption
-
nextEventChoice
int nextEventChoice
-
nextEventCounter
int nextEventCounter
-
noiseInClusterOption
FlagOption noiseInClusterOption
-
noiseLevelOption
FloatOption noiseLevelOption
-
numActiveKernels
int numActiveKernels
-
numClusterOption
IntOption numClusterOption
-
numClusterRangeOption
IntOption numClusterRangeOption
-
numGeneratedInstances
int numGeneratedInstances
-
speedOption
IntOption speedOption
-
speedRangeOption
IntOption speedRangeOption
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.clustering.SimpleCSVStream extends ClusteringStream implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
classIndexOption
FlagOption classIndexOption
-
csvFileOption
FileOption csvFileOption
-
dataset
Instances dataset
-
defaultfile
String defaultfile
-
fileProgressMonitor
InputStreamProgressMonitor fileProgressMonitor
-
fileReader
BufferedReader fileReader
-
hitEndOfFile
boolean hitEndOfFile
-
lastInstanceRead
InstanceExample lastInstanceRead
-
numAttributes
int numAttributes
-
numInstancesRead
int numInstancesRead
-
numTokens
int numTokens
-
splitCharOption
StringOption splitCharOption
-
-
-
Package moa.streams.filters
-
Class moa.streams.filters.AbstractMultiLabelStreamFilter extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
inputStream
ExampleStream<Example<Instance>> inputStream
The input stream to this filter.
-
-
-
Class moa.streams.filters.AbstractStreamFilter extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
inputStream
ExampleStream inputStream
The input stream to this filter.
-
-
-
Class moa.streams.filters.AddNoiseFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attNoiseFractionOption
FloatOption attNoiseFractionOption
-
attValObservers
AutoExpandVector<Object> attValObservers
-
classNoiseFractionOption
FloatOption classNoiseFractionOption
-
random
Random random
-
randomSeedOption
IntOption randomSeedOption
-
-
Class moa.streams.filters.HashingTrickFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
attributes
FastVector attributes
-
dim
IntOption dim
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.filters.NormalisationFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
maximums
double[] maximums
-
minimums
double[] minimums
-
-
Class moa.streams.filters.RandomProjectionFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
dim
IntOption dim
-
GaussMatrix
double[][] GaussMatrix
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.filters.RBFFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
c
double[] c
-
dataset
InstancesHeader dataset
-
numLatentOption
IntOption numLatentOption
-
r
double[] r
-
random
Random random
-
randomSeedOption
IntOption randomSeedOption
-
-
Class moa.streams.filters.ReLUFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
dataset
InstancesHeader dataset
-
H
int H
-
numLatentOption
IntOption numLatentOption
-
random
Random random
-
randomSeedOption
IntOption randomSeedOption
-
W
double[][] W
-
-
Class moa.streams.filters.RemoveDiscreteAttributeFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numericAttributes
List<Integer> numericAttributes
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.filters.ReplacingMissingValuesFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1470772215201414815L
-
Serialized Fields
-
columnsStatistics
double[] columnsStatistics
-
frequencies
HashMap<Double,Integer>[] frequencies
-
lastNominalValues
double[] lastNominalValues
-
nominalReplacementStrategyOption
MultiChoiceOption nominalReplacementStrategyOption
-
nominalSelectedStrategy
int nominalSelectedStrategy
-
numAttributes
int numAttributes
-
numberOfSamples
long[] numberOfSamples
-
numericalConstantValueOption
FloatOption numericalConstantValueOption
-
numericalSelectedStrategy
int numericalSelectedStrategy
-
numericReplacementStrategyOption
MultiChoiceOption numericReplacementStrategyOption
-
-
Class moa.streams.filters.SelectAttributesFilter extends AbstractMultiLabelStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
dataset
InstancesHeader dataset
-
inputsSelected
Selection inputsSelected
-
inputStringOption
StringOption inputStringOption
-
outputsSelected
Selection outputsSelected
-
outputStringOption
StringOption outputStringOption
-
-
Class moa.streams.filters.StandardisationFilter extends AbstractStreamFilter implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
AlgorithmIndex
int AlgorithmIndex
-
AlgorithmOption
MultiChoiceOption AlgorithmOption
-
WeightedOptionFloat
FloatOption WeightedOptionFloat
-
-
-
Package moa.streams.generators
-
Class moa.streams.generators.AgrawalGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
balanceClassesOption
FlagOption balanceClassesOption
-
functionOption
IntOption functionOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
nextClassShouldBeZero
boolean nextClassShouldBeZero
-
peturbFractionOption
FloatOption peturbFractionOption
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.generators.AssetNegotiationGenerator extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
classFunction
AssetNegotiationGenerator.ClassFunction classFunction
-
functionOption
IntOption functionOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
nextClassShouldBeZero
boolean nextClassShouldBeZero
-
noisePercentage
FloatOption noisePercentage
-
streamHeader
InstancesHeader streamHeader
-
-
-
Class moa.streams.generators.HyperplaneGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
magChangeOption
FloatOption magChangeOption
-
noisePercentageOption
IntOption noisePercentageOption
-
numAttsOption
IntOption numAttsOption
-
numberInstance
int numberInstance
-
numClassesOption
IntOption numClassesOption
-
numDriftAttsOption
IntOption numDriftAttsOption
-
sigma
int[] sigma
-
sigmaPercentageOption
IntOption sigmaPercentageOption
-
streamHeader
InstancesHeader streamHeader
-
weights
double[] weights
-
-
Class moa.streams.generators.LEDGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
noisePercentageOption
IntOption noisePercentageOption
-
streamHeader
InstancesHeader streamHeader
-
suppressIrrelevantAttributesOption
FlagOption suppressIrrelevantAttributesOption
-
-
Class moa.streams.generators.LEDGeneratorDrift extends LEDGenerator implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numberAttribute
int[] numberAttribute
-
numberAttributesDriftOption
IntOption numberAttributesDriftOption
-
-
Class moa.streams.generators.MixedGenerator extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
balanceClassesOption
FlagOption balanceClassesOption
-
functionOption
IntOption functionOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
nextClassShouldBeZero
boolean nextClassShouldBeZero
-
streamHeader
InstancesHeader streamHeader
-
-
-
Class moa.streams.generators.RandomRBFGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
centroids
RandomRBFGenerator.Centroid[] centroids
-
centroidWeights
double[] centroidWeights
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
modelRandomSeedOption
IntOption modelRandomSeedOption
-
numAttsOption
IntOption numAttsOption
-
numCentroidsOption
IntOption numCentroidsOption
-
numClassesOption
IntOption numClassesOption
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.generators.RandomRBFGenerator.Centroid extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
centre
double[] centre
-
classLabel
int classLabel
-
stdDev
double stdDev
-
-
Class moa.streams.generators.RandomRBFGeneratorDrift extends RandomRBFGenerator implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numDriftCentroidsOption
IntOption numDriftCentroidsOption
-
speedCentroids
double[][] speedCentroids
-
speedChangeOption
FloatOption speedChangeOption
-
-
Class moa.streams.generators.RandomTreeGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
firstLeafLevelOption
IntOption firstLeafLevelOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
leafFractionOption
FloatOption leafFractionOption
-
maxTreeDepthOption
IntOption maxTreeDepthOption
-
numClassesOption
IntOption numClassesOption
-
numNominalsOption
IntOption numNominalsOption
-
numNumericsOption
IntOption numNumericsOption
-
numValsPerNominalOption
IntOption numValsPerNominalOption
-
streamHeader
InstancesHeader streamHeader
-
treeRandomSeedOption
IntOption treeRandomSeedOption
-
treeRoot
RandomTreeGenerator.Node treeRoot
-
-
Class moa.streams.generators.RandomTreeGenerator.Node extends Object implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
children
RandomTreeGenerator.Node[] children
-
classLabel
int classLabel
-
splitAttIndex
int splitAttIndex
-
splitAttValue
double splitAttValue
-
-
Class moa.streams.generators.SEAGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
balanceClassesOption
FlagOption balanceClassesOption
-
functionOption
IntOption functionOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
nextClassShouldBeZero
boolean nextClassShouldBeZero
-
noisePercentageOption
IntOption noisePercentageOption
-
numInstancesConcept
IntOption numInstancesConcept
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.generators.SineGenerator extends AbstractOptionHandler implements Serializable
-
Serialized Fields
-
balanceClassesOption
FlagOption balanceClassesOption
-
functionOption
IntOption functionOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
nextClassShouldBeZero
boolean nextClassShouldBeZero
-
streamHeader
InstancesHeader streamHeader
-
suppressIrrelevantAttributesOption
FlagOption suppressIrrelevantAttributesOption
-
-
-
Class moa.streams.generators.STAGGERGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
balanceClassesOption
FlagOption balanceClassesOption
-
functionOption
IntOption functionOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
nextClassShouldBeZero
boolean nextClassShouldBeZero
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.generators.TextGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 3028905554604259131L
-
Serialized Fields
-
classTwitterGenerator
int[] classTwitterGenerator
-
countTweets
int countTweets
-
freqTwitterGenerator
double[] freqTwitterGenerator
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
lengthTweet
double lengthTweet
-
numAttsOption
IntOption numAttsOption
-
probNegative
double probNegative
-
probPositive
double probPositive
-
sizeTable
int sizeTable
-
streamHeader
InstancesHeader streamHeader
-
sumFreqTwitterGenerator
double[] sumFreqTwitterGenerator
-
wordTwitterGenerator
int[] wordTwitterGenerator
-
zipfExponent
double zipfExponent
-
-
Class moa.streams.generators.WaveformGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
addNoiseOption
FlagOption addNoiseOption
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.generators.WaveformGeneratorDrift extends WaveformGenerator implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numberAttribute
int[] numberAttribute
-
numberAttributesDriftOption
IntOption numberAttributesDriftOption
-
-
-
Package moa.streams.generators.cd
-
Class moa.streams.generators.cd.AbruptChangeGenerator extends AbstractConceptDriftGenerator implements Serializable
-
Class moa.streams.generators.cd.AbstractConceptDriftGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
change
boolean change
-
clusterEvents
ArrayList<ClusterEvent> clusterEvents
-
instanceRandom
Random instanceRandom
-
instanceRandomSeedOption
IntOption instanceRandomSeedOption
-
notBinaryStreamOption
FlagOption notBinaryStreamOption
-
numInstances
int numInstances
-
numInstancesConceptOption
IntOption numInstancesConceptOption
-
period
int period
-
streamHeader
InstancesHeader streamHeader
-
-
Class moa.streams.generators.cd.GradualChangeGenerator extends AbstractConceptDriftGenerator implements Serializable
-
Serialized Fields
-
changeDriftOption
FloatOption changeDriftOption
-
-
-
Class moa.streams.generators.cd.NoChangeGenerator extends AbstractConceptDriftGenerator implements Serializable
-
-
Package moa.streams.generators.multilabel
-
Class moa.streams.generators.multilabel.MetaMultilabelGenerator extends AbstractOptionHandler implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
binaryGeneratorOption
ClassOption binaryGeneratorOption
-
Conditional
double[][] Conditional
-
labelCardinalityOption
FloatOption labelCardinalityOption
-
labelCardinalityRatioOption
FloatOption labelCardinalityRatioOption
-
labelCardinalityVarOption
FloatOption labelCardinalityVarOption
-
labelDependencyChangeRatioOption
FloatOption labelDependencyChangeRatioOption
-
m_A
int m_A
-
m_BinaryGenerator
InstanceStream m_BinaryGenerator
-
m_L
int m_L
-
m_MetaRandom
Random m_MetaRandom
-
m_MultilabelInstancesHeader
MultilabelInstancesHeader m_MultilabelInstancesHeader
-
m_TopCombinations
HashSet[] m_TopCombinations
-
metaRandomSeedOption
IntOption metaRandomSeedOption
-
multilabelStreamTemplate
Instances multilabelStreamTemplate
-
numLabelsOption
IntOption numLabelsOption
-
priors
double[] priors
-
priors_norm
double[] priors_norm
-
queue
LinkedList<Instance>[] queue
-
skewOption
IntOption skewOption
-
-
Class moa.streams.generators.multilabel.MultilabelArffFileStream extends ArffFileStream implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
numLabelsOption
IntOption numLabelsOption
-
-
-
Package moa.tasks
-
Class moa.tasks.AbstractTask extends AbstractOptionHandler implements Serializable
-
Class moa.tasks.AuxiliarMainTask extends MainTask implements Serializable
-
Serialized Fields
-
events
ArrayList<ClusterEvent> events
-
-
-
Class moa.tasks.CacheShuffledStream extends AbstractTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
maximumCacheSizeOption
IntOption maximumCacheSizeOption
-
shuffleRandomSeedOption
IntOption shuffleRandomSeedOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.ClassificationMainTask extends MainTask implements Serializable
-
Serialized Fields
-
events
ArrayList<ClusterEvent> events
-
-
-
Class moa.tasks.ConceptDriftMainTask extends MainTask implements Serializable
-
Serialized Fields
-
events
ArrayList<ClusterEvent> events
-
-
-
Class moa.tasks.EvaluateClustering extends AuxiliarMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cmmOption
FlagOption cmmOption
-
dumpFileOption
FileOption dumpFileOption
-
entropyOption
FlagOption entropyOption
-
f1Option
FlagOption f1Option
-
generalEvalOption
FlagOption generalEvalOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
separationOption
FlagOption separationOption
-
silhouetteOption
FlagOption silhouetteOption
-
ssqOption
FlagOption ssqOption
-
statisticalOption
FlagOption statisticalOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.EvaluateConceptDrift extends ConceptDriftMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
-
Class moa.tasks.EvaluateInterleavedChunks extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
chunkSizeOption
IntOption chunkSizeOption
Allow to define the training/testing chunk size. -
dumpFileOption
FileOption dumpFileOption
Allows to define the output file name and location. -
evaluatorOption
ClassOption evaluatorOption
Allows to select the classifier performance evaluation method. -
instanceLimitOption
IntOption instanceLimitOption
Allows to define the maximum number of instances to test/train on (-1 = no limit). -
learnerOption
ClassOption learnerOption
Allows to select the trained classifier. -
maxMemoryOption
IntOption maxMemoryOption
Allows to define the memory limit for the created model. -
memCheckFrequencyOption
IntOption memCheckFrequencyOption
Allows to define the frequency of memory checks. -
sampleFrequencyOption
IntOption sampleFrequencyOption
Defines how often classifier parameters will be calculated. -
streamOption
ClassOption streamOption
Allows to select the stream the classifier will learn. -
timeLimitOption
IntOption timeLimitOption
Allows to define the maximum number of seconds to test/train for (-1 = no limit).
-
-
Class moa.tasks.EvaluateInterleavedTestThenTrain extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
randomSeedOption
IntOption randomSeedOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
-
Class moa.tasks.EvaluateModel extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
evaluatorOption
ClassOption evaluatorOption
-
maxInstancesOption
IntOption maxInstancesOption
-
modelOption
ClassOption modelOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.EvaluateModelMultiLabel extends MultiLabelMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
evaluatorOption
ClassOption evaluatorOption
-
maxInstancesOption
IntOption maxInstancesOption
-
modelOption
ClassOption modelOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.EvaluateModelMultiTarget extends MultiTargetMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
evaluatorOption
ClassOption evaluatorOption
-
maxInstancesOption
IntOption maxInstancesOption
-
modelOption
ClassOption modelOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.EvaluateModelRegression extends RegressionMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
evaluatorOption
ClassOption evaluatorOption
-
maxInstancesOption
IntOption maxInstancesOption
-
modelOption
ClassOption modelOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.EvaluateMultipleClusterings extends AuxiliarMainTask implements Serializable
- serialVersionUID:
- 4846907962483608940L
-
Serialized Fields
-
cmmOption
FlagOption cmmOption
-
defaultfile
String defaultfile
-
dumpFileOption
FileOption dumpFileOption
-
entropyOption
FlagOption entropyOption
-
f1Option
FlagOption f1Option
-
generalEvalOption
FlagOption generalEvalOption
-
learnerOption
ClassOption learnerOption
-
mergeResultsOption
FlagOption mergeResultsOption
-
numStreamsOption
IntOption numStreamsOption
-
separationOption
FlagOption separationOption
-
silhouetteOption
FlagOption silhouetteOption
-
ssqOption
FlagOption ssqOption
-
statisticalOption
FlagOption statisticalOption
-
streamOption
ClassOption streamOption
-
task
EvaluateClustering task
-
-
Class moa.tasks.EvaluateOnlineRecommender extends AuxiliarMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
datasetOption
ClassOption datasetOption
-
ratingPredictorOption
ClassOption ratingPredictorOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
-
Class moa.tasks.EvaluatePeriodicHeldOutTest extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
cacheTestOption
FlagOption cacheTestOption
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
learnerOption
ClassOption learnerOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
testSizeOption
IntOption testSizeOption
-
trainSizeOption
IntOption trainSizeOption
-
trainTimeOption
IntOption trainTimeOption
-
-
Class moa.tasks.EvaluatePrequential extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
widthOption
IntOption widthOption
-
-
Class moa.tasks.EvaluatePrequentialCV extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
numFoldsOption
IntOption numFoldsOption
-
randomSeedOption
IntOption randomSeedOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
validationMethodologyOption
MultiChoiceOption validationMethodologyOption
-
-
Class moa.tasks.EvaluatePrequentialDelayed extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
delayLengthOption
IntOption delayLengthOption
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
initialWindowSizeOption
IntOption initialWindowSizeOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
trainInBatches
FlagOption trainInBatches
-
trainInstances
LinkedList<Example> trainInstances
-
trainOnInitialWindowOption
FlagOption trainOnInitialWindowOption
-
widthOption
IntOption widthOption
-
-
Class moa.tasks.EvaluatePrequentialDelayedCV extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
delayLengthOption
IntOption delayLengthOption
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
numFoldsOption
IntOption numFoldsOption
-
randomSeedOption
IntOption randomSeedOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
trainInstances
LinkedList<LinkedList<Example>> trainInstances
-
validationMethodologyOption
MultiChoiceOption validationMethodologyOption
-
-
Class moa.tasks.EvaluatePrequentialMultiLabel extends MultiLabelMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
widthOption
IntOption widthOption
-
-
Class moa.tasks.EvaluatePrequentialMultiTarget extends MultiTargetMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
widthOption
IntOption widthOption
-
-
Class moa.tasks.EvaluatePrequentialMultiTargetSemiSuper extends MultiTargetMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
dbInitialModelPercentage
FloatOption dbInitialModelPercentage
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
runSeed
IntOption runSeed
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
slidingWindowSize
IntOption slidingWindowSize
-
slidingWindowStep
IntOption slidingWindowStep
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
unlabeledPercentage
FloatOption unlabeledPercentage
-
widthOption
IntOption widthOption
-
-
Class moa.tasks.EvaluatePrequentialRegression extends RegressionMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
alphaOption
FloatOption alphaOption
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
outputPredictionFileOption
FileOption outputPredictionFileOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
widthOption
IntOption widthOption
-
-
Class moa.tasks.FailedTaskReport extends AbstractMOAObject implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
failureReason
Throwable failureReason
-
-
Class moa.tasks.FeatureImportanceConfig extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
learnerOption
ClassOption learnerOption
Provides GUI to user so that they can configure parameters for feature importance algorithm. -
m_doNotNormalizeFeatureScore
boolean m_doNotNormalizeFeatureScore
The default doNotNormalizeFeatureScore parameter for feature importance algorithm. -
m_instances
Instances m_instances
This holds the current set of instances -
m_NaNSubstitute
double m_NaNSubstitute
When scores of feature importance are NaNs, NaNs will be replaced by NaNSubstitute shown in feature importance line graph. -
m_windowSize
int m_windowSize
The default windowSize parameter for feature importance algorithm. -
nanSubstitute
FloatOption nanSubstitute
-
progressBar
JProgressBar progressBar
Use progress bar to show the progress of computing scores of feature importance. -
scores
double[][] scores
Scores produced by feature importance algorithm.
-
-
Class moa.tasks.LearnModel extends ClassificationMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
learnerOption
ClassOption learnerOption
-
maxInstancesOption
IntOption maxInstancesOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
numPassesOption
IntOption numPassesOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.LearnModelMultiLabel extends MultiLabelMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
learnerOption
ClassOption learnerOption
-
maxInstancesOption
IntOption maxInstancesOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
numPassesOption
IntOption numPassesOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.LearnModelMultiTarget extends MultiTargetMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
learnerOption
ClassOption learnerOption
-
maxInstancesOption
IntOption maxInstancesOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
numPassesOption
IntOption numPassesOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.LearnModelRegression extends RegressionMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
learnerOption
ClassOption learnerOption
-
maxInstancesOption
IntOption maxInstancesOption
-
memCheckFrequencyOption
IntOption memCheckFrequencyOption
-
numPassesOption
IntOption numPassesOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.MainTask extends AbstractTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
outputFileOption
FileOption outputFileOption
File option to save the final result of the task to.
-
-
Class moa.tasks.MeasureStreamSpeed extends AuxiliarMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
generateSizeOption
IntOption generateSizeOption
-
streamOption
ClassOption streamOption
-
-
Class moa.tasks.MultiLabelMainTask extends MainTask implements Serializable
-
Serialized Fields
-
events
ArrayList<ClusterEvent> events
-
-
-
Class moa.tasks.MultiTargetMainTask extends MainTask implements Serializable
-
Serialized Fields
-
events
ArrayList<ClusterEvent> events
-
-
-
Class moa.tasks.Plot extends MainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
additionalPlotOption
StringOption additionalPlotOption
Additional plot options. For example \"[] [0:]\" will force the y-axis to start from 0. See the gnuplot manual for more options. -
additionalSetOption
StringOption additionalSetOption
Addition pre-plot gunplot commands. For example "set tics out" will change the default tic option and force outward facing tics. See the gnuplot manual for more commands. -
deleteScriptsOption
FlagOption deleteScriptsOption
Determines whether to delete gnuplot scripts after plotting. -
fileAliasesOption
ListOption fileAliasesOption
Comma separated list of aliases for the input *csv files. If a legend is added to the plot, aliases will be presented in the legend. -
gnuplotPathOption
StringOption gnuplotPathOption
Path to gunplot's binary directory, for example C:\Tools\Gnuplot\binary. -
inputFilesOption
ListOption inputFilesOption
Comma separated list of input *csv files. The file paths can be absolute or relative to the executing directory (moa.jar directory). -
legendLocationOption
MultiChoiceOption legendLocationOption
Legend (key) location on the plot. -
legendTypeOption
MultiChoiceOption legendTypeOption
Legend elements' alignment. -
lineWidthOption
IntOption lineWidthOption
Plotted line width. -
outputTypeOption
MultiChoiceOption outputTypeOption
Gnuplot terminal - postscript, png, pdf etc. -
plotOutputOption
FileOption plotOutputOption
FileOption for selecting the plot output file. -
plotStyleOption
MultiChoiceOption plotStyleOption
Type of plot - dots, points, lines ets. -
pointIntervalOption
IntOption pointIntervalOption
Interval between plotted data points. -
smoothOption
FlagOption smoothOption
Determines whether to smooth the plot with bezier curves. -
xColumnOption
IntOption xColumnOption
Index of the csv column from which values for the x-axis should be taken. -
xTitleOption
StringOption xTitleOption
Title of the plots' x-axis. -
xUnitOption
StringOption xUnitOption
Units displayed next to x-axis values. -
yColumnOption
IntOption yColumnOption
Index of the csv column from which values for the y-axis should be taken. -
yTitleOption
StringOption yTitleOption
Title of the plots' y-axis. -
yUnitOption
StringOption yUnitOption
Units displayed next to y-axis values.
-
-
Class moa.tasks.RegressionMainTask extends MainTask implements Serializable
-
Serialized Fields
-
events
ArrayList<ClusterEvent> events
-
-
-
Class moa.tasks.RunStreamTasks extends ConceptDriftMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
firstValueOption
FloatOption firstValueOption
-
incrementValueOption
FloatOption incrementValueOption
-
lastValueOption
FloatOption lastValueOption
-
streamParameterOption
StringOption streamParameterOption
-
task
Task task
-
taskOption
ClassOption taskOption
-
-
Class moa.tasks.RunTasks extends AuxiliarMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
classifierParameterOption
StringOption classifierParameterOption
-
firstValueOption
FloatOption firstValueOption
-
incrementValueOption
FloatOption incrementValueOption
-
lastValueOption
FloatOption lastValueOption
-
task
Task task
-
taskOption
ClassOption taskOption
-
-
Class moa.tasks.WriteConfigurationToJupyterNotebook extends AuxiliarMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
exportAdvancedNotebook
FlagOption exportAdvancedNotebook
-
notebookOutputFile
FileOption notebookOutputFile
-
runConfig
FlagOption runConfig
-
task
Task task
-
taskOption
ClassOption taskOption
-
-
Class moa.tasks.WriteMultipleStreamsToARFF extends AuxiliarMainTask implements Serializable
- serialVersionUID:
- 4687495597494400174L
-
Serialized Fields
-
arffFileOption
FileOption arffFileOption
-
maxInstancesOption
IntOption maxInstancesOption
-
numStreamsOption
IntOption numStreamsOption
-
randomFlagOne
FlagOption randomFlagOne
-
randomFlagTwo
FlagOption randomFlagTwo
-
randomOneOption
StringOption randomOneOption
-
randomTwoOption
StringOption randomTwoOption
-
stream
InstanceStream stream
-
streamOption
ClassOption streamOption
-
suppressHeaderOption
FlagOption suppressHeaderOption
-
-
Class moa.tasks.WriteStreamToARFFFile extends AuxiliarMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
arffFileOption
FileOption arffFileOption
-
maxInstancesOption
IntOption maxInstancesOption
-
streamOption
ClassOption streamOption
-
suppressHeaderOption
FlagOption suppressHeaderOption
-
-
-
Package moa.tasks.meta
-
Class moa.tasks.meta.ALMainTask extends MetaMainTask implements Serializable
- serialVersionUID:
- 1L
-
Class moa.tasks.meta.ALMultiParamTask extends ALMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
flattenedSubtaskThreads
ArrayList<ALTaskThread> flattenedSubtaskThreads
-
partitionIdx
int partitionIdx
-
prequentialEvaluationTaskOption
ClassOptionWithListenerOption prequentialEvaluationTaskOption
-
subTaskColorCoding
Color[] subTaskColorCoding
-
subtasks
ArrayList<ALPrequentialEvaluationTask> subtasks
-
subtaskThreads
ArrayList<ALTaskThread> subtaskThreads
-
variedParamNameOption
EditableMultiChoiceOption variedParamNameOption
-
variedParamValuesOption
ListOption variedParamValuesOption
-
-
Class moa.tasks.meta.ALPartitionEvaluationTask extends ALMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
flattenedSubtaskThreads
ArrayList<ALTaskThread> flattenedSubtaskThreads
-
multiParamTaskOption
ClassOption multiParamTaskOption
-
numPartitionsOption
IntOption numPartitionsOption
-
randomSeedOption
IntOption randomSeedOption
-
subtaskThreads
ArrayList<ALTaskThread> subtaskThreads
-
-
Class moa.tasks.meta.ALPrequentialEvaluationTask extends ALMainTask implements Serializable
- serialVersionUID:
- 1L
-
Serialized Fields
-
dumpFileOption
FileOption dumpFileOption
-
evaluatorOption
ClassOption evaluatorOption
-
instanceLimitOption
IntOption instanceLimitOption
-
learnerOption
ClassOption learnerOption
-
sampleFrequencyOption
IntOption sampleFrequencyOption
-
streamOption
ClassOption streamOption
-
timeLimitOption
IntOption timeLimitOption
-
-
Class moa.tasks.meta.MetaMainTask extends MainTask implements Serializable
- serialVersionUID:
- 1L
-
-
Package weka.classifiers.meta
-
Class weka.classifiers.meta.AdaBoostM1 extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -1178107808933117974L
-
Serialized Fields
-
m_Betas
double[] m_Betas
-
m_NumClasses
int m_NumClasses
-
m_NumIterationsPerformed
int m_NumIterationsPerformed
-
m_NumItsThisSession
int m_NumItsThisSession
-
m_RandomInstance
Random m_RandomInstance
-
m_resume
boolean m_resume
-
m_TrainingData
weka.core.Instances m_TrainingData
-
m_UseResampling
boolean m_UseResampling
-
m_WeightThreshold
int m_WeightThreshold
-
m_ZeroR
weka.classifiers.Classifier m_ZeroR
-
-
Class weka.classifiers.meta.AdditiveRegression extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -2368937577670527151L
-
Serialized Fields
-
m_Classifiers
ArrayList<weka.classifiers.Classifier> m_Classifiers
-
m_Data
weka.core.Instances m_Data
-
m_Diff
double m_Diff
-
m_Error
double m_Error
-
m_InitialPrediction
double m_InitialPrediction
-
m_MinimizeAbsoluteError
boolean m_MinimizeAbsoluteError
-
m_numItsPerformed
int m_numItsPerformed
-
m_resume
boolean m_resume
-
m_shrinkage
double m_shrinkage
-
m_SuitableData
boolean m_SuitableData
-
-
Class weka.classifiers.meta.AttributeSelectedClassifier extends weka.classifiers.SingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -1151805453487947577L
-
Serialized Fields
-
m_AttributeSelection
weka.attributeSelection.AttributeSelection m_AttributeSelection
-
m_Evaluator
weka.attributeSelection.ASEvaluation m_Evaluator
-
m_numAttributesSelected
double m_numAttributesSelected
-
m_numClasses
int m_numClasses
-
m_ReducedHeader
weka.core.Instances m_ReducedHeader
-
m_Search
weka.attributeSelection.ASSearch m_Search
-
m_selectionTime
double m_selectionTime
-
m_totalTime
double m_totalTime
-
-
Class weka.classifiers.meta.Bagging extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -115879962237199703L
-
Serialized Fields
-
m_BagSizePercent
int m_BagSizePercent
-
m_CalcOutOfBag
boolean m_CalcOutOfBag
-
m_classifiersCache
List<weka.classifiers.Classifier> m_classifiersCache
-
m_data
weka.core.Instances m_data
-
m_inBag
boolean[][] m_inBag
-
m_Numeric
boolean m_Numeric
-
m_OutOfBagEvaluationObject
weka.classifiers.evaluation.Evaluation m_OutOfBagEvaluationObject
-
m_OutputOutOfBagComplexityStatistics
boolean m_OutputOutOfBagComplexityStatistics
-
m_printClassifiers
boolean m_printClassifiers
-
m_random
Random m_random
-
m_RepresentUsingWeights
boolean m_RepresentUsingWeights
-
m_StoreOutOfBagPredictions
boolean m_StoreOutOfBagPredictions
-
-
Class weka.classifiers.meta.ClassificationViaRegression extends weka.classifiers.SingleClassifierEnhancer implements Serializable
- serialVersionUID:
- 4500023123618669859L
-
Serialized Fields
-
m_ClassFilters
weka.filters.unsupervised.attribute.MakeIndicator[] m_ClassFilters
-
m_Classifiers
weka.classifiers.Classifier[] m_Classifiers
-
-
Class weka.classifiers.meta.CostSensitiveClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -110658209263002404L
-
Class weka.classifiers.meta.CVParameterSelection extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -6529603380876641265L
-
Serialized Fields
-
m_BestClassifierOptions
String[] m_BestClassifierOptions
-
m_BestPerformance
double m_BestPerformance
-
m_ClassifierOptions
String[] m_ClassifierOptions
-
m_CVParams
Vector<weka.classifiers.meta.CVParameterSelection.CVParameter> m_CVParams
-
m_InitOptions
String[] m_InitOptions
-
m_NumAttributes
int m_NumAttributes
-
m_NumFolds
int m_NumFolds
-
m_TrainFoldSize
int m_TrainFoldSize
-
-
Class weka.classifiers.meta.CVParameterSelection.CVParameter extends Object implements Serializable
- serialVersionUID:
- -4668812017709421953L
-
Serialized Fields
-
m_AddAtEnd
boolean m_AddAtEnd
-
m_Lower
double m_Lower
-
m_ParamChar
String m_ParamChar
-
m_ParamValue
double m_ParamValue
-
m_RoundParam
boolean m_RoundParam
-
m_Steps
double m_Steps
-
m_Upper
double m_Upper
-
-
Class weka.classifiers.meta.FilteredClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -4523450618538717400L
-
Serialized Fields
-
m_DoNotCheckForModifiedClassAttribute
boolean m_DoNotCheckForModifiedClassAttribute
-
m_Filter
weka.filters.Filter m_Filter
-
m_FilteredInstances
weka.core.Instances m_FilteredInstances
-
m_ReorderFiltered
weka.filters.unsupervised.attribute.Reorder m_ReorderFiltered
-
m_ReorderOriginal
weka.filters.unsupervised.attribute.Reorder m_ReorderOriginal
-
-
Class weka.classifiers.meta.IterativeClassifierOptimizer extends weka.classifiers.RandomizableClassifier implements Serializable
- serialVersionUID:
- -3665485256313525864L
-
Serialized Fields
-
m_bestNumIts
int m_bestNumIts
-
m_bestResult
double m_bestResult
-
m_classValueIndex
int m_classValueIndex
-
m_evalMetric
String m_evalMetric
-
m_IterativeClassifier
weka.classifiers.IterativeClassifier m_IterativeClassifier
-
m_lookAheadIterations
int m_lookAheadIterations
-
m_NumFolds
int m_NumFolds
-
m_NumRuns
int m_NumRuns
-
m_numThreads
int m_numThreads
-
m_poolSize
int m_poolSize
-
m_preserveOrderInPercentageSplitEvaluation
boolean m_preserveOrderInPercentageSplitEvaluation
-
m_splitPercentage
double m_splitPercentage
-
m_StepSize
int m_StepSize
-
m_thresholds
double[] m_thresholds
-
m_UseAverage
boolean m_UseAverage
-
-
Class weka.classifiers.meta.LogitBoost extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -1105660358715833753L
-
Serialized Fields
-
m_ClassAttribute
weka.core.Attribute m_ClassAttribute
-
m_Classifiers
ArrayList<weka.classifiers.Classifier[]> m_Classifiers
-
m_data
weka.core.Instances m_data
-
m_InitialFs
double[] m_InitialFs
-
m_logLikelihood
double m_logLikelihood
-
m_NumClasses
int m_NumClasses
-
m_NumericClassData
weka.core.Instances m_NumericClassData
-
m_NumGenerated
int m_NumGenerated
-
m_NumItsPerformed
int m_NumItsPerformed
-
m_numThreads
int m_numThreads
-
m_Offset
double m_Offset
-
m_poolSize
int m_poolSize
-
m_Precision
double m_Precision
-
m_probs
double[][] m_probs
-
m_RandomInstance
Random m_RandomInstance
-
m_resume
boolean m_resume
-
m_Shrinkage
double m_Shrinkage
-
m_sumOfWeights
double m_sumOfWeights
-
m_trainFs
double[][] m_trainFs
-
m_trainYs
double[][] m_trainYs
-
m_UseEstimatedPriors
boolean m_UseEstimatedPriors
-
m_UseResampling
boolean m_UseResampling
-
m_WeightThreshold
int m_WeightThreshold
-
m_ZeroR
weka.classifiers.Classifier m_ZeroR
-
m_zMax
double m_zMax
-
-
Class weka.classifiers.meta.MOA extends weka.classifiers.AbstractClassifier implements Serializable
- serialVersionUID:
- 2605797948130310166L
-
Serialized Fields
-
instanceConverter
WekaToSamoaInstanceConverter instanceConverter
-
m_ActualClassifier
Classifier m_ActualClassifier
the actual moa classifier to use for learning. -
m_Classifier
ClassOption m_Classifier
the moa classifier option (this object is used in the GenericObjectEditor).
-
-
Class weka.classifiers.meta.MultiClassClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -3879602011542849141L
-
Serialized Fields
-
m_ClassAttribute
weka.core.Attribute m_ClassAttribute
-
m_ClassFilters
weka.filters.Filter[] m_ClassFilters
-
m_Classifiers
weka.classifiers.Classifier[] m_Classifiers
-
m_logLossDecoding
boolean m_logLossDecoding
-
m_Method
int m_Method
-
m_pairwiseCoupling
boolean m_pairwiseCoupling
-
m_RandomWidthFactor
double m_RandomWidthFactor
-
m_SumOfWeights
double[] m_SumOfWeights
-
m_TwoClassDataset
weka.core.Instances m_TwoClassDataset
-
m_ZeroR
weka.classifiers.rules.ZeroR m_ZeroR
-
-
Class weka.classifiers.meta.MultiClassClassifierUpdateable extends weka.classifiers.meta.MultiClassClassifier implements Serializable
- serialVersionUID:
- -1619685269774366430L
-
Class weka.classifiers.meta.MultiScheme extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable
- serialVersionUID:
- 5710744346128957520L
-
Serialized Fields
-
m_Classifier
weka.classifiers.Classifier m_Classifier
-
m_ClassifierIndex
int m_ClassifierIndex
-
m_NumXValFolds
int m_NumXValFolds
-
-
Class weka.classifiers.meta.MultiSearch extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -5129316523575906233L
-
Serialized Fields
-
m_Algorithm
weka.classifiers.meta.multisearch.AbstractSearch m_Algorithm
-
m_BestClassifier
weka.classifiers.meta.multisearch.AbstractSearch.SearchResult m_BestClassifier
-
m_ClassLabel
weka.core.SingleIndex m_ClassLabel
-
m_DefaultParameters
weka.core.setupgenerator.AbstractParameter[] m_DefaultParameters
-
m_Evaluation
int m_Evaluation
-
m_Factory
weka.classifiers.meta.multisearch.AbstractEvaluationFactory m_Factory
-
m_Generator
weka.core.SetupGenerator m_Generator
-
m_LogFile
File m_LogFile
-
m_Metrics
weka.classifiers.meta.multisearch.AbstractEvaluationMetrics m_Metrics
-
m_Parameters
weka.core.setupgenerator.AbstractParameter[] m_Parameters
-
m_Trace
List<Map.Entry<Integer,weka.classifiers.meta.multisearch.Performance>> m_Trace
-
-
Class weka.classifiers.meta.RandomCommittee extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- -9204394360557300093L
-
Serialized Fields
-
m_data
weka.core.Instances m_data
-
-
Class weka.classifiers.meta.RandomizableFilteredClassifier extends weka.classifiers.meta.FilteredClassifier implements Serializable
- serialVersionUID:
- -4523466618555717333L
-
Class weka.classifiers.meta.RandomSubSpace extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
- serialVersionUID:
- 1278172513912424947L
-
Serialized Fields
-
m_data
weka.core.Instances m_data
-
m_SubSpaceSize
double m_SubSpaceSize
-
m_ZeroR
weka.classifiers.Classifier m_ZeroR
-
-
Class weka.classifiers.meta.RegressionByDiscretization extends weka.classifiers.SingleClassifierEnhancer implements Serializable
- serialVersionUID:
- 5066426153134050378L
-
Serialized Fields
-
m_ClassCounts
int[] m_ClassCounts
-
m_ClassMeans
double[] m_ClassMeans
-
m_DeleteEmptyBins
boolean m_DeleteEmptyBins
-
m_DiscretizedHeader
weka.core.Instances m_DiscretizedHeader
-
m_Discretizer
weka.filters.unsupervised.attribute.Discretize m_Discretizer
-
m_Estimator
weka.estimators.UnivariateDensityEstimator m_Estimator
-
m_MinimizeAbsoluteError
boolean m_MinimizeAbsoluteError
-
m_NewTargetValues
int[] m_NewTargetValues
-
m_NumBins
int m_NumBins
-
m_OldIndexToNewIndex
int[] m_OldIndexToNewIndex
-
m_OriginalTargetValues
double[] m_OriginalTargetValues
-
m_UseEqualFrequency
boolean m_UseEqualFrequency
-
-
Class weka.classifiers.meta.Stacking extends weka.classifiers.RandomizableParallelMultipleClassifiersCombiner implements Serializable
- serialVersionUID:
- 5134738557155845452L
-
Serialized Fields
-
m_BaseFormat
weka.core.Instances m_BaseFormat
-
m_MetaClassifier
weka.classifiers.Classifier m_MetaClassifier
-
m_MetaFormat
weka.core.Instances m_MetaFormat
-
m_NumFolds
int m_NumFolds
-
-
Class weka.classifiers.meta.Vote extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable
- serialVersionUID:
- -637891196294399624L
-
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_AttValues
double[] m_AttValues
-
m_Dataset
weka.core.Instances m_Dataset
-
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_AttributeInfo
weka.core.AttributeInfo m_AttributeInfo
-
m_AttributeMetaInfo
weka.core.AttributeMetaInfo m_AttributeMetaInfo
-
m_Index
int m_Index
-
m_Name
String m_Name
-
m_Type
int m_Type
-
m_Weight
double m_Weight
-
-
Class weka.core.AttributeLocator extends Object implements Serializable
- serialVersionUID:
- -2932848827681070345L
-
Class weka.core.AttributeMetaInfo extends Object implements Serializable
-
Serialized Fields
-
m_HasZeropoint
boolean m_HasZeropoint
-
m_IsAveragable
boolean m_IsAveragable
-
m_IsRegular
boolean m_IsRegular
-
m_LowerBound
double m_LowerBound
-
m_LowerBoundIsOpen
boolean m_LowerBoundIsOpen
-
m_Metadata
weka.core.ProtectedProperties m_Metadata
-
m_Ordering
int m_Ordering
-
m_UpperBound
double m_UpperBound
-
m_UpperBoundIsOpen
boolean m_UpperBoundIsOpen
-
-
-
Class weka.core.AttributeStats extends Object implements Serializable
- serialVersionUID:
- 4434688832743939380L
-
Serialized Fields
-
distinctCount
int distinctCount
-
intCount
int intCount
-
missingCount
int missingCount
-
nominalCounts
int[] nominalCounts
-
nominalWeights
double[] nominalWeights
-
numericStats
weka.experiment.Stats numericStats
-
realCount
int realCount
-
totalCount
int totalCount
-
uniqueCount
int uniqueCount
-
-
Class weka.core.BinarySparseInstance extends weka.core.SparseInstance implements Serializable
- serialVersionUID:
- -5297388762342528737L
-
Class weka.core.Capabilities extends Object implements Serializable
- serialVersionUID:
- -5478590032325567849L
-
Serialized Fields
-
m_AttributeTest
boolean m_AttributeTest
-
m_Capabilities
HashSet<weka.core.Capabilities.Capability> m_Capabilities
-
m_Dependencies
HashSet<weka.core.Capabilities.Capability> m_Dependencies
-
m_FailReason
Exception m_FailReason
-
m_InstancesTest
boolean m_InstancesTest
-
m_InterfaceDefinedCapabilities
HashSet<Class> m_InterfaceDefinedCapabilities
-
m_MinimumNumberInstances
int m_MinimumNumberInstances
-
m_MinimumNumberInstancesTest
boolean m_MinimumNumberInstancesTest
-
m_MissingClassValuesTest
boolean m_MissingClassValuesTest
-
m_MissingValuesTest
boolean m_MissingValuesTest
-
m_Owner
weka.core.CapabilitiesHandler m_Owner
-
m_Test
boolean m_Test
-
-
Class weka.core.ChebyshevDistance extends weka.core.NormalizableDistance implements Serializable
- serialVersionUID:
- -7739904999895461429L
-
Class weka.core.DateAttributeInfo extends Object implements Serializable
-
Serialized Fields
-
m_DateFormat
SimpleDateFormat m_DateFormat
-
-
-
Class weka.core.Debug extends Object implements Serializable
- serialVersionUID:
- 66171861743328020L
-
Serialized Fields
-
m_Clock
weka.core.Debug.Clock m_Clock
-
m_Enabled
boolean m_Enabled
-
m_Log
weka.core.Debug.Log m_Log
-
-
Class weka.core.Debug.Clock extends Object implements Serializable
- serialVersionUID:
- 4622161807307942201L
-
Serialized Fields
-
m_CanMeasureCpuTime
boolean m_CanMeasureCpuTime
-
m_OutputFormat
int m_OutputFormat
-
m_Running
boolean m_Running
-
m_Start
long m_Start
-
m_Stop
long m_Stop
-
m_ThreadID
long m_ThreadID
-
m_UseCpuTime
boolean m_UseCpuTime
-
-
Class weka.core.Debug.DBO extends Object implements Serializable
- serialVersionUID:
- -5245628124742606784L
-
Serialized Fields
-
m_outputTypes
weka.core.Range m_outputTypes
-
m_verboseOn
boolean m_verboseOn
-
-
Class weka.core.Debug.Log extends Object implements Serializable
- serialVersionUID:
- 1458435732111675823L
-
Serialized Fields
-
m_Filename
String m_Filename
-
m_LoggerInitFailed
boolean m_LoggerInitFailed
-
m_NumFiles
int m_NumFiles
-
m_Size
int m_Size
-
-
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_Format
String m_Format
-
m_Formatter
SimpleDateFormat m_Formatter
-
m_Stamp
Date m_Stamp
-
-
Class weka.core.Defaults extends Object implements Serializable
- serialVersionUID:
- 1061521489520308096L
-
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_avgDocLength
double m_avgDocLength
-
m_classIndex
int m_classIndex
-
m_consolidatedDict
Map<String,int[]> m_consolidatedDict
-
m_count
int m_count
-
m_dictsPerClass
Map<String,int[]>[] m_dictsPerClass
-
m_docLengthSum
double m_docLengthSum
-
m_doNotOperateOnPerClassBasis
boolean m_doNotOperateOnPerClassBasis
-
m_IDFTransform
boolean m_IDFTransform
-
m_inputContainsStringAttributes
boolean m_inputContainsStringAttributes
-
m_inputFormat
weka.core.Instances m_inputFormat
-
m_lowerCaseTokens
boolean m_lowerCaseTokens
-
m_minFrequency
int m_minFrequency
-
m_normalize
boolean m_normalize
-
m_numClasses
int m_numClasses
-
m_outputCounts
boolean m_outputCounts
-
m_outputFormat
weka.core.Instances m_outputFormat
-
m_periodicPruneRate
long m_periodicPruneRate
-
m_Prefix
String m_Prefix
-
m_selectedRange
weka.core.Range m_selectedRange
-
m_sortDictionary
boolean m_sortDictionary
-
m_stemmer
weka.core.stemmers.Stemmer m_stemmer
-
m_stopwordsHandler
weka.core.stopwords.StopwordsHandler m_stopwordsHandler
-
m_TFTransform
boolean m_TFTransform
-
m_tokenizer
weka.core.tokenizers.Tokenizer m_tokenizer
-
m_wordsToKeep
int m_wordsToKeep
-
-
Class weka.core.EnvironmentProperties extends Properties implements Serializable
-
Class weka.core.EuclideanDistance extends weka.core.NormalizableDistance implements Serializable
- serialVersionUID:
- 1068606253458807903L
-
Class weka.core.FastVector extends ArrayList<E extends Object> 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
-
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
-
Class weka.core.NormalizableDistance extends Object implements Serializable
- serialVersionUID:
- -2806520224161351708L
-
Serialized Fields
-
m_ActiveIndices
boolean[] m_ActiveIndices
-
m_AttributeIndices
weka.core.Range m_AttributeIndices
-
m_Data
weka.core.Instances m_Data
-
m_DontNormalize
boolean m_DontNormalize
-
m_Ranges
double[][] m_Ranges
-
m_Validated
boolean m_Validated
-
-
Class weka.core.NoSupportForMissingValuesException extends weka.core.WekaException implements Serializable
- serialVersionUID:
- 5161175307725893973L
-
Class weka.core.ProtectedProperties extends 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_Size
int m_Size
-
m_Tail
weka.core.Queue.QueueNode m_Tail
-
-
Class weka.core.Queue.QueueNode extends Object implements Serializable
- serialVersionUID:
- -5119358279412097455L
-
Serialized Fields
-
m_Contents
Object m_Contents
-
m_Next
weka.core.Queue.QueueNode m_Next
-
-
Class weka.core.RandomVariates extends Random implements Serializable
- serialVersionUID:
- -4763742718209460354L
-
Class weka.core.Range extends Object implements Serializable
- serialVersionUID:
- 3667337062176835900L
-
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_isCompressed
boolean m_isCompressed
-
m_isJython
boolean m_isJython
-
m_storedObjectArray
byte[] m_storedObjectArray
-
-
Class weka.core.Settings extends Object implements Serializable
- serialVersionUID:
- -4005372566372478008L
-
Class weka.core.Settings.SettingKey extends Object implements Serializable
-
Class weka.core.SetupGenerator extends Object implements Serializable
- serialVersionUID:
- 7683008589774888142L
-
Serialized Fields
-
m_BaseObject
Serializable m_BaseObject
-
m_Initialized
boolean m_Initialized
-
m_Parameters
weka.core.setupgenerator.AbstractParameter[] m_Parameters
-
m_Space
weka.core.setupgenerator.Space m_Space
-
-
Class weka.core.SingleIndex extends 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
-
Class weka.core.TestInstances extends Object implements Serializable
- serialVersionUID:
- -6263968936330390469L
-
Serialized Fields
-
m_ClassIndex
int m_ClassIndex
-
m_ClassType
int m_ClassType
-
m_Data
weka.core.Instances m_Data
-
m_Handler
weka.core.CapabilitiesHandler m_Handler
-
m_MultiInstance
boolean m_MultiInstance
-
m_NumClasses
int m_NumClasses
-
m_NumDate
int m_NumDate
-
m_NumInstances
int m_NumInstances
-
m_NumInstancesRelational
int m_NumInstancesRelational
-
m_NumNominal
int m_NumNominal
-
m_NumNominalValues
int m_NumNominalValues
-
m_NumNumeric
int m_NumNumeric
-
m_NumRelational
int m_NumRelational
-
m_NumRelationalDate
int m_NumRelationalDate
-
m_NumRelationalNominal
int m_NumRelationalNominal
-
m_NumRelationalNominalValues
int m_NumRelationalNominalValues
-
m_NumRelationalNumeric
int m_NumRelationalNumeric
-
m_NumRelationalString
int m_NumRelationalString
-
m_NumString
int m_NumString
-
m_Random
Random m_Random
-
m_Relation
String m_Relation
-
m_RelationalClassFormat
weka.core.Instances m_RelationalClassFormat
-
m_RelationalFormat
weka.core.Instances[] m_RelationalFormat
-
m_Seed
int m_Seed
-
m_Words
String[] m_Words
-
m_WordSeparators
String m_WordSeparators
-
-
Class weka.core.Trie extends Object implements Serializable
- serialVersionUID:
- -5897980928817779048L
-
Serialized Fields
-
m_HashCode
int m_HashCode
-
m_RecalcHashCode
boolean m_RecalcHashCode
-
m_Root
weka.core.Trie.TrieNode m_Root
-
-
Class weka.core.Trie.TrieNode extends DefaultMutableTreeNode implements Serializable
- serialVersionUID:
- -2252907099391881148L
-
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_BalanceClass
boolean m_BalanceClass
-
m_Function
int m_Function
-
m_lastLabel
double m_lastLabel
-
m_nextClassShouldBeZero
boolean m_nextClassShouldBeZero
-
m_PerturbationFraction
double m_PerturbationFraction
-
-
Class weka.datagenerators.classifiers.classification.BayesNet extends weka.datagenerators.ClassificationGenerator implements Serializable
- serialVersionUID:
- -796118162379901512L
-
Serialized Fields
-
m_Generator
weka.classifiers.bayes.net.BayesNetGenerator m_Generator
-
-
Class weka.datagenerators.classifiers.classification.LED24 extends weka.datagenerators.ClassificationGenerator implements Serializable
- serialVersionUID:
- -7880209100415868737L
-
Serialized Fields
-
m_NoisePercent
double m_NoisePercent
-
m_numIrrelevantAttributes
int m_numIrrelevantAttributes
-
-
Class weka.datagenerators.classifiers.classification.MOA extends weka.datagenerators.ClassificationGenerator implements Serializable
- serialVersionUID:
- 13533833825026962L
-
Serialized Fields
-
instanceConverter
SamoaToWekaInstanceConverter instanceConverter
-
m_ActualGenerator
InstanceStream m_ActualGenerator
the actual data generator. -
m_Generator
ClassOption m_Generator
for manipulating the generator through the GUI.
-
-
Class weka.datagenerators.classifiers.classification.RandomRBF extends weka.datagenerators.ClassificationGenerator implements Serializable
- serialVersionUID:
- 6069033710635728720L
-
Serialized Fields
-
m_centroidClasses
int[] m_centroidClasses
-
m_centroids
double[][] m_centroids
-
m_centroidStdDevs
double[] m_centroidStdDevs
-
m_centroidWeights
double[] m_centroidWeights
-
m_NumAttributes
int m_NumAttributes
-
m_NumCentroids
int m_NumCentroids
-
m_NumClasses
int m_NumClasses
-
-
Class weka.datagenerators.classifiers.classification.RDG1 extends weka.datagenerators.ClassificationGenerator implements Serializable
- serialVersionUID:
- 7751005204635320414L
-
Serialized Fields
-
m_AttList_Irr
boolean[] m_AttList_Irr
-
m_DecisionList
ArrayList<weka.datagenerators.classifiers.classification.RDG1.RuleList> m_DecisionList
-
m_MaxRuleSize
int m_MaxRuleSize
-
m_MinRuleSize
int m_MinRuleSize
-
m_NumAttributes
int m_NumAttributes
-
m_NumClasses
int m_NumClasses
-
m_NumIrrelevant
int m_NumIrrelevant
-
m_NumNumeric
int m_NumNumeric
-
m_VoteFlag
boolean m_VoteFlag
-
-
-
Package weka.gui
-
Class weka.gui.AbstractGUIApplication extends JPanel implements Serializable
- serialVersionUID:
- -2116770422043462730L
-
Serialized Fields
-
m_applicationSettings
weka.core.Settings m_applicationSettings
-
m_perspectiveManager
weka.gui.PerspectiveManager m_perspectiveManager
-
-
Class weka.gui.AbstractPerspective extends JPanel implements Serializable
- serialVersionUID:
- 1919714661641262879L
-
Serialized Fields
-
m_isActive
boolean m_isActive
-
m_isLoaded
boolean m_isLoaded
-
m_log
weka.gui.Logger m_log
-
m_mainApplication
weka.gui.GUIApplication m_mainApplication
-
m_perspectiveIcon
Icon m_perspectiveIcon
-
m_perspectiveID
String m_perspectiveID
-
m_perspectiveTipText
String m_perspectiveTipText
-
m_perspectiveTitle
String m_perspectiveTitle
-
-
Class weka.gui.AttributeListPanel extends JPanel implements Serializable
- serialVersionUID:
- -2030706987910400362L
-
Serialized Fields
-
m_Model
weka.gui.AttributeListPanel.AttributeTableModel m_Model
-
m_Table
JTable m_Table
-
-
Class weka.gui.AttributeSelectionPanel extends JPanel implements Serializable
- serialVersionUID:
- 627131485290359194L
-
Class weka.gui.AttributeSummaryPanel extends JPanel implements Serializable
- serialVersionUID:
- -5434987925737735880L
-
Serialized Fields
-
m_allEqualWeights
boolean m_allEqualWeights
-
m_AttributeNameLab
JLabel m_AttributeNameLab
-
m_AttributeStats
weka.core.AttributeStats[] m_AttributeStats
-
m_AttributeTypeLab
JLabel m_AttributeTypeLab
-
m_AttributeWeightLab
JLabel m_AttributeWeightLab
-
m_DistinctLab
JLabel m_DistinctLab
-
m_Instances
weka.core.Instances m_Instances
-
m_MissingLab
JLabel m_MissingLab
-
m_StatsTable
JTable m_StatsTable
-
m_UniqueLab
JLabel m_UniqueLab
-
m_WeightLab
JLabel m_WeightLab
-
-
Class weka.gui.AttributeVisualizationPanel extends weka.gui.visualize.PrintablePanel implements Serializable
- serialVersionUID:
- -8650490488825371193L
-
Serialized Fields
-
m_as
weka.core.AttributeStats m_as
-
m_asCache
weka.core.AttributeStats[] m_asCache
-
m_attribIndex
int m_attribIndex
-
m_barRange
double m_barRange
-
m_classIndex
int m_classIndex
-
m_colorAttrib
JComboBox m_colorAttrib
-
m_colorList
ArrayList<Color> m_colorList
-
m_data
weka.core.Instances m_data
-
m_displayCurrentAttribute
boolean m_displayCurrentAttribute
-
m_doneCurrentAttribute
boolean m_doneCurrentAttribute
-
m_fm
FontMetrics m_fm
-
m_hc
Thread m_hc
-
m_histBarClassCounts
weka.core.SparseInstance[] m_histBarClassCounts
-
m_histBarCounts
double[] m_histBarCounts
-
m_locker
Integer m_locker
-
m_maxValue
double m_maxValue
-
m_threadRun
boolean m_threadRun
-
-
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_callback
weka.gui.CloseableTabTitle.ClosingCallback m_callback
-
m_closeAccelleratorText
String m_closeAccelleratorText
-
m_enclosingPane
JTabbedPane m_enclosingPane
-
m_tabButton
weka.gui.CloseableTabTitle.TabButton m_tabButton
-
m_tabLabel
JLabel m_tabLabel
-
-
Class weka.gui.ConverterFileChooser extends weka.gui.WekaFileChooser implements Serializable
- serialVersionUID:
- -5373058011025481738L
-
Serialized Fields
-
m_CapabilitiesFilter
weka.core.Capabilities m_CapabilitiesFilter
-
m_CheckBoxOptions
JCheckBox m_CheckBoxOptions
-
m_CoreConvertersOnly
boolean m_CoreConvertersOnly
-
m_CurrentConverter
Object m_CurrentConverter
-
m_DialogType
int m_DialogType
-
m_Editor
weka.gui.GenericObjectEditor m_Editor
-
m_EditorResult
int m_EditorResult
-
m_FileMustExist
boolean m_FileMustExist
-
m_LastFilter
FileFilter m_LastFilter
-
m_Listener
PropertyChangeListener m_Listener
-
m_OverwriteWarning
boolean m_OverwriteWarning
-
-
Class weka.gui.CostBenefitAnalysisPanel extends JPanel implements Serializable
- serialVersionUID:
- 5364871945448769003L
-
Serialized Fields
-
m_benefitR
JRadioButton m_benefitR
-
m_classAttribute
weka.core.Attribute m_classAttribute
-
m_classificationAccV
JLabel m_classificationAccV
-
m_conf_aa
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_aa
-
m_conf_ab
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_ab
-
m_conf_actualA
JLabel m_conf_actualA
-
m_conf_actualB
JLabel m_conf_actualB
-
m_conf_ba
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_ba
-
m_conf_bb
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_bb
-
m_conf_predictedA
JLabel m_conf_predictedA
-
m_conf_predictedB
JLabel m_conf_predictedB
-
m_cost_aa
JTextField m_cost_aa
-
m_cost_ab
JTextField m_cost_ab
-
m_cost_actualA
JLabel m_cost_actualA
-
m_cost_actualB
JLabel m_cost_actualB
-
m_cost_ba
JTextField m_cost_ba
-
m_cost_bb
JTextField m_cost_bb
-
m_cost_predictedA
JLabel m_cost_predictedA
-
m_cost_predictedB
JLabel m_cost_predictedB
-
m_costBenefit
weka.gui.visualize.PlotData2D m_costBenefit
-
m_costBenefitL
JLabel m_costBenefitL
-
m_costBenefitPanel
weka.gui.visualize.VisualizePanel m_costBenefitPanel
-
m_costBenefitV
JLabel m_costBenefitV
-
m_costR
JRadioButton m_costR
-
m_fnPrevious
double m_fnPrevious
-
m_fpPrevious
double m_fpPrevious
-
m_gainV
JLabel m_gainV
-
m_masterPlot
weka.gui.visualize.PlotData2D m_masterPlot
-
m_maximizeCB
JButton m_maximizeCB
-
m_minimizeCB
JButton m_minimizeCB
-
m_originalPopSize
int m_originalPopSize
-
m_percOfTarget
JRadioButton m_percOfTarget
-
m_percOfTargetLab
JLabel m_percOfTargetLab
-
m_percPop
JRadioButton m_percPop
-
m_percPopLab
JLabel m_percPopLab
-
m_performancePanel
weka.gui.visualize.VisualizePanel m_performancePanel
-
m_previousShapeIndex
int m_previousShapeIndex
-
m_randomV
JLabel m_randomV
-
m_shapeSizes
int[] m_shapeSizes
-
m_threshold
JRadioButton m_threshold
-
m_thresholdLab
JLabel m_thresholdLab
-
m_thresholdSlider
JSlider m_thresholdSlider
-
m_tnPrevious
double m_tnPrevious
-
m_totalPopField
JTextField m_totalPopField
-
m_totalPopPrevious
int m_totalPopPrevious
-
m_tpPrevious
double m_tpPrevious
-
-
Class weka.gui.CostBenefitAnalysisPanel.ConfusionCell extends JPanel implements Serializable
- serialVersionUID:
- 6148640235434494767L
-
Class weka.gui.DatabaseConnectionDialog extends JDialog implements Serializable
- serialVersionUID:
- -1081946748666245054L
-
Serialized Fields
-
m_DbaseURLLab
JLabel m_DbaseURLLab
-
m_DbaseURLText
JTextField m_DbaseURLText
-
m_DebugCheckBox
JCheckBox m_DebugCheckBox
-
m_DebugLab
JLabel m_DebugLab
-
m_PasswordLab
JLabel m_PasswordLab
-
m_PasswordText
JPasswordField m_PasswordText
-
m_returnValue
int m_returnValue
-
m_UserNameLab
JLabel m_UserNameLab
-
m_UserNameText
JTextField m_UserNameText
-
-
Class weka.gui.EnvironmentField extends JPanel implements Serializable
- serialVersionUID:
- -3125404573324734121L
-
Serialized Fields
-
m_combo
JComboBox m_combo
-
m_currentCaretPos
int m_currentCaretPos
-
m_currentContents
String m_currentContents
-
m_env
weka.core.Environment m_env
-
m_firstCaretPos
int m_firstCaretPos
-
m_label
JLabel m_label
-
m_previousCaretPos
int m_previousCaretPos
-
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_FOCUSED_SELECTED_VERTICAL_LINE_COLOR
Color MAC_FOCUSED_SELECTED_VERTICAL_LINE_COLOR
-
MAC_FOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
Color MAC_FOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
-
MAC_OS_ALTERNATE_ROW_COLOR
Color MAC_OS_ALTERNATE_ROW_COLOR
-
MAC_UNFOCUSED_SELECTED_CELL_BACKGROUND_COLOR
Color MAC_UNFOCUSED_SELECTED_CELL_BACKGROUND_COLOR
-
MAC_UNFOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
Color MAC_UNFOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
-
MAC_UNFOCUSED_SELECTED_VERTICAL_LINE_COLOR
Color MAC_UNFOCUSED_SELECTED_VERTICAL_LINE_COLOR
-
MAC_UNFOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
Color MAC_UNFOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
-
-
Class weka.gui.EvaluationMetricSelectionDialog extends JDialog implements Serializable
- serialVersionUID:
- 4451184027143094270L
-
Class weka.gui.ExtensionFileFilter extends FileFilter implements Serializable
- serialVersionUID:
- -5960622841390665131L
-
Class weka.gui.ExtensionFileFilterWithClass extends weka.gui.ExtensionFileFilter implements Serializable
-
Serialized Fields
-
m_FilterClass
Class m_FilterClass
-
-
-
Class weka.gui.FileEnvironmentField extends weka.gui.EnvironmentField implements Serializable
- serialVersionUID:
- -233731548086207652L
-
Serialized Fields
-
m_browseBut
JButton m_browseBut
-
m_fileEditor
weka.gui.FileEditor m_fileEditor
-
m_fileEditorDialog
weka.gui.PropertyDialog m_fileEditorDialog
-
-
Class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog extends JDialog implements Serializable
- serialVersionUID:
- -7845503345689646266L
-
Serialized Fields
-
m_CancelButton
JButton m_CancelButton
-
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_Popup
JPopupMenu m_Popup
-
m_Self
JDialog m_Self
-
-
Class weka.gui.GenericObjectEditor.GOEPanel extends JPanel implements Serializable
- serialVersionUID:
- 3656028520876011335L
-
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_CloseButton
JButton m_CloseButton
-
m_FilterButton
JButton m_FilterButton
-
m_RemoveFilterButton
JButton m_RemoveFilterButton
-
m_scroller
JScrollPane m_scroller
-
m_Self
JPopupMenu m_Self
-
m_tree
JTree m_tree
-
-
Class weka.gui.GenericObjectEditorHistory extends Object implements Serializable
- serialVersionUID:
- -1255734638729633595L
-
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_ChildFrames
HashSet<Container> m_ChildFrames
-
m_ExperimenterBut
JButton m_ExperimenterBut
-
m_ExplorerBut
JButton m_ExplorerBut
-
m_FileChooserGraphVisualizer
weka.gui.WekaFileChooser m_FileChooserGraphVisualizer
-
m_FileChooserPlot
weka.gui.WekaFileChooser m_FileChooserPlot
-
m_FileChooserROC
weka.gui.WekaFileChooser m_FileChooserROC
-
m_FileChooserTreeVisualizer
weka.gui.WekaFileChooser m_FileChooserTreeVisualizer
-
m_Frames
Vector<JFrame> m_Frames
-
m_Icon
Image m_Icon
-
m_jMenuBar
JMenuBar m_jMenuBar
-
m_jMenuHelp
JMenu m_jMenuHelp
-
m_jMenuProgram
JMenu m_jMenuProgram
-
m_jMenuTools
JMenu m_jMenuTools
-
m_jMenuVisualization
JMenu m_jMenuVisualization
-
m_KnowledgeFlowBut
JButton m_KnowledgeFlowBut
-
m_PanelApplications
JPanel m_PanelApplications
-
m_Self
weka.gui.GUIChooserApp m_Self
-
m_settings
weka.core.Settings m_settings
-
m_SimpleBut
JButton m_SimpleBut
-
m_weka
Image m_weka
-
m_WorkbenchBut
JButton m_WorkbenchBut
-
-
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_Current
weka.gui.HierarchyPropertyParser.TreeNode m_Current
-
m_Depth
int m_Depth
-
m_Root
weka.gui.HierarchyPropertyParser.TreeNode m_Root
-
m_Seperator
String m_Seperator
-
-
Class weka.gui.InstancesSummaryPanel extends JPanel implements Serializable
- serialVersionUID:
- -5243579535296681063L
-
Serialized Fields
-
Class weka.gui.InteractiveTableModel extends AbstractTableModel implements Serializable
- serialVersionUID:
- -5113873323690309667L
-
Class weka.gui.InteractiveTablePanel extends JPanel implements Serializable
- serialVersionUID:
- 4495705463732140410L
-
Serialized Fields
-
m_columnNames
String[] m_columnNames
-
m_scroller
JScrollPane m_scroller
-
m_table
JTable m_table
-
m_tableModel
weka.gui.InteractiveTableModel m_tableModel
-
-
Class weka.gui.ListSelectorDialog extends JDialog implements Serializable
- serialVersionUID:
- 906147926840288895L
-
Class weka.gui.LogPanel extends JPanel implements Serializable
- serialVersionUID:
- -4072464549112439484L
-
Class weka.gui.LogWindow extends JFrame implements Serializable
- serialVersionUID:
- 5650947361381061112L
-
Class weka.gui.Main extends JFrame implements Serializable
- serialVersionUID:
- 1453813254824253849L
-
Serialized Fields
-
jDesktopPane
JDesktopPane jDesktopPane
-
jMenuApplications
JMenu jMenuApplications
-
jMenuBar
JMenuBar jMenuBar
-
jMenuExtensions
JMenu jMenuExtensions
-
jMenuHelp
JMenu jMenuHelp
-
jMenuItemApplicationsExperimenter
JMenuItem jMenuItemApplicationsExperimenter
-
jMenuItemApplicationsExplorer
JMenuItem jMenuItemApplicationsExplorer
-
jMenuItemApplicationsKnowledgeFlow
JMenuItem jMenuItemApplicationsKnowledgeFlow
-
jMenuItemApplicationsSimpleCLI
JMenuItem jMenuItemApplicationsSimpleCLI
-
jMenuItemHelpAbout
JMenuItem jMenuItemHelpAbout
-
jMenuItemHelpHomepage
JMenuItem jMenuItemHelpHomepage
-
jMenuItemHelpSourceforge
JMenuItem jMenuItemHelpSourceforge
-
jMenuItemHelpSystemInfo
JMenuItem jMenuItemHelpSystemInfo
-
jMenuItemHelpWekaWiki
JMenuItem jMenuItemHelpWekaWiki
-
jMenuItemProgramExit
JMenuItem jMenuItemProgramExit
-
jMenuItemProgramLogWindow
JMenuItem jMenuItemProgramLogWindow
-
jMenuItemProgramMemoryUsage
JMenuItem jMenuItemProgramMemoryUsage
-
jMenuItemToolsArffViewer
JMenuItem jMenuItemToolsArffViewer
-
jMenuItemToolsGroovyConsole
JMenuItem jMenuItemToolsGroovyConsole
-
jMenuItemToolsJythonConsole
JMenuItem jMenuItemToolsJythonConsole
-
jMenuItemToolsSqlViewer
JMenuItem jMenuItemToolsSqlViewer
-
jMenuItemVisualizationBoundaryVisualizer
JMenuItem jMenuItemVisualizationBoundaryVisualizer
-
jMenuItemVisualizationGraphVisualizer
JMenuItem jMenuItemVisualizationGraphVisualizer
-
jMenuItemVisualizationPlot
JMenuItem jMenuItemVisualizationPlot
-
jMenuItemVisualizationROC
JMenuItem jMenuItemVisualizationROC
-
jMenuItemVisualizationTreeVisualizer
JMenuItem jMenuItemVisualizationTreeVisualizer
-
jMenuProgram
JMenu jMenuProgram
-
jMenuTools
JMenu jMenuTools
-
jMenuVisualization
JMenu jMenuVisualization
-
jMenuWindows
JMenu jMenuWindows
-
m_ChildFrames
HashSet<Container> m_ChildFrames
-
m_FileChooserGraphVisualizer
weka.gui.WekaFileChooser m_FileChooserGraphVisualizer
-
m_FileChooserPlot
weka.gui.WekaFileChooser m_FileChooserPlot
-
m_FileChooserROC
weka.gui.WekaFileChooser m_FileChooserROC
-
m_FileChooserTreeVisualizer
weka.gui.WekaFileChooser m_FileChooserTreeVisualizer
-
m_GUIType
int m_GUIType
-
m_Self
weka.gui.Main m_Self
-
-
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_BackgroundColor
Color m_BackgroundColor
-
m_ButtonGC
JButton m_ButtonGC
-
m_Colors
Hashtable<Double,Color> m_Colors
-
m_DefaultColor
Color m_DefaultColor
-
m_FrameLocation
Point m_FrameLocation
-
m_History
Vector<Double> m_History
-
m_Memory
weka.core.Memory m_Memory
-
m_Monitor
weka.gui.MemoryUsagePanel.MemoryMonitor m_Monitor
-
m_Percentages
Vector<Double> m_Percentages
-
-
Class weka.gui.PackageManager extends JPanel implements Serializable
- serialVersionUID:
- -7463821313750352385L
-
Serialized Fields
-
m_allBut
JRadioButton m_allBut
-
m_allPackages
List<weka.core.packageManagement.Package> m_allPackages
-
m_availableBut
JRadioButton m_availableBut
-
m_availablePackages
List<weka.core.packageManagement.Package> m_availablePackages
-
m_backB
JButton m_backB
-
m_browserHistory
LinkedList<URL> m_browserHistory
-
m_browserTools
JToolBar m_browserTools
-
m_cacheEstablished
boolean m_cacheEstablished
-
m_cacheRefreshInProgress
boolean m_cacheRefreshInProgress
-
m_detailLabel
JLabel m_detailLabel
-
m_forceBut
JCheckBox m_forceBut
-
m_homeB
JButton m_homeB
-
m_infoPane
JEditorPane m_infoPane
-
m_installBut
JButton m_installBut
-
m_installedBut
JRadioButton m_installedBut
-
m_installedPackages
List<weka.core.packageManagement.Package> m_installedPackages
-
m_installing
boolean m_installing
-
m_model
DefaultTableModel m_model
-
m_newPackagesAvailableL
JLabel m_newPackagesAvailableL
-
m_packageComparator
Comparator<weka.core.packageManagement.Package> m_packageComparator
-
m_packageDescriptions
Map<String,String> m_packageDescriptions
-
m_packageLookupInfo
Map<String,List<Object>> m_packageLookupInfo
-
m_progress
JProgressBar m_progress
-
m_refreshCacheBut
JButton m_refreshCacheBut
-
m_reverseSort
boolean m_reverseSort
-
m_searchField
JTextField m_searchField
-
m_searchHitsLab
JLabel m_searchHitsLab
-
m_searchResults
List<weka.core.packageManagement.Package> m_searchResults
-
m_sortColumn
int m_sortColumn
-
m_splitP
JSplitPane m_splitP
-
m_table
JTable m_table
-
m_toggleLoad
JButton m_toggleLoad
-
m_uninstallBut
JButton m_uninstallBut
-
m_unofficialBut
JButton m_unofficialBut
-
m_unofficialChooser
weka.gui.FileEnvironmentField m_unofficialChooser
-
m_unofficialFrame
JFrame m_unofficialFrame
-
-
Class weka.gui.PackageManager.ComboBoxEditor extends DefaultCellEditor implements Serializable
- serialVersionUID:
- 5240331667759901966L
-
Class weka.gui.PasswordField extends JPanel implements Serializable
- serialVersionUID:
- 8180782063577036194L
-
Serialized Fields
-
m_label
JLabel m_label
-
m_password
JPasswordField m_password
-
m_support
PropertyChangeSupport m_support
-
-
Class weka.gui.PerspectiveManager extends JPanel implements Serializable
- serialVersionUID:
- -6099806469970666208L
-
Serialized Fields
-
m_allowedPerspectiveClassPrefixes
List<String> m_allowedPerspectiveClassPrefixes
-
m_appMenuBar
JMenuBar m_appMenuBar
-
m_configAndPerspectivesToolBar
JPanel m_configAndPerspectivesToolBar
-
m_configAndPerspectivesVisible
boolean m_configAndPerspectivesVisible
-
m_disallowedPerspectiveClassPrefixes
List<String> m_disallowedPerspectiveClassPrefixes
-
m_LogPanel
weka.gui.LogPanel m_LogPanel
-
m_logVisible
boolean m_logVisible
-
m_mainApp
weka.gui.GUIApplication m_mainApp
-
m_mainPerspective
weka.gui.Perspective m_mainPerspective
-
m_perspectiveCache
Map<String,weka.gui.Perspective> m_perspectiveCache
-
m_perspectiveGroup
ButtonGroup m_perspectiveGroup
-
m_perspectiveNameLookup
Map<String,String> m_perspectiveNameLookup
-
m_perspectives
List<weka.gui.Perspective> m_perspectives
-
m_perspectiveToolBar
JToolBar m_perspectiveToolBar
-
m_programMenu
JMenu m_programMenu
-
m_togglePerspectivesToolBar
JMenuItem m_togglePerspectivesToolBar
-
m_visiblePerspectives
LinkedHashSet<String> m_visiblePerspectives
-
-
Class weka.gui.PerspectiveManager.SelectedPerspectivePreferences extends Object implements Serializable
- serialVersionUID:
- -2665480123235382483L
-
Serialized Fields
-
m_perspectivesToolbarAlwaysHidden
boolean m_perspectivesToolbarAlwaysHidden
-
m_perspectivesToolbarVisibleOnStartup
boolean m_perspectivesToolbarVisibleOnStartup
-
m_userVisiblePerspectives
LinkedList<String> m_userVisiblePerspectives
-
-
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_CustomPanel
JPanel m_CustomPanel
-
m_Editor
PropertyEditor m_Editor
-
m_HasCustomPanel
boolean m_HasCustomPanel
-
m_PD
weka.gui.PropertyDialog m_PD
-
-
Class weka.gui.PropertySelectorDialog extends JDialog implements Serializable
- serialVersionUID:
- -3155058124137930518L
-
Class weka.gui.PropertySheetPanel extends JPanel implements Serializable
- serialVersionUID:
- -8939835593429918345L
-
Serialized Fields
-
m_aboutPanel
JPanel m_aboutPanel
-
m_CapabilitiesBut
JButton m_CapabilitiesBut
-
m_CapabilitiesDialog
weka.gui.PropertySheetPanel.CapabilitiesHelpDialog m_CapabilitiesDialog
-
m_CapabilitiesText
JTextArea m_CapabilitiesText
-
m_Customizer
weka.gui.beans.GOECustomizer m_Customizer
-
m_Editors
PropertyEditor[] m_Editors
-
m_HelpBut
JButton m_HelpBut
-
m_HelpDialog
JDialog m_HelpDialog
-
m_HelpText
StringBuffer m_HelpText
-
m_Labels
JLabel[] m_Labels
-
m_Methods
MethodDescriptor[] m_Methods
-
m_NumEditable
int m_NumEditable
-
m_Properties
PropertyDescriptor[] m_Properties
-
m_propertyGroupingCategory
String m_propertyGroupingCategory
-
m_showAboutPanel
boolean m_showAboutPanel
-
m_Target
Object m_Target
-
m_TipTexts
String[] m_TipTexts
-
m_useEnvironmentPropertyEditors
boolean m_useEnvironmentPropertyEditors
-
m_Values
Object[] m_Values
-
m_Views
JComponent[] m_Views
-
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_FramedOutput
Hashtable<String,JTextArea> m_FramedOutput
-
m_HandleRightClicks
boolean m_HandleRightClicks
-
m_List
JList m_List
-
m_Model
DefaultListModel m_Model
-
m_Objs
Hashtable<String,Object> m_Objs
-
m_Printer
weka.gui.visualize.PrintableComponent m_Printer
-
m_Results
Hashtable<String,StringBuffer> m_Results
-
m_SingleName
String m_SingleName
-
m_SingleText
JTextComponent m_SingleText
-
-
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_ClassComboBox
JComboBox m_ClassComboBox
-
m_ClassLabel
JLabel m_ClassLabel
-
m_CloseBut
JButton m_CloseBut
-
m_CloseButPanel
JPanel m_CloseButPanel
-
m_FileChooser
weka.gui.ConverterFileChooser m_FileChooser
-
m_Instances
weka.core.Instances m_Instances
-
m_IOThread
Thread m_IOThread
-
m_LastURL
String m_LastURL
-
m_Loader
weka.core.converters.Loader m_Loader
-
m_OpenFileBut
JButton m_OpenFileBut
-
m_OpenURLBut
JButton m_OpenURLBut
-
m_ParentFrame
JFrame m_ParentFrame
-
m_readIncrementally
boolean m_readIncrementally
-
m_showClassComboBox
boolean m_showClassComboBox
-
m_showZeroInstancesAsUnknown
boolean m_showZeroInstancesAsUnknown
-
m_Summary
weka.gui.InstancesSummaryPanel m_Summary
-
m_Support
PropertyChangeSupport m_Support
-
-
Class weka.gui.SettingsEditor extends JPanel implements Serializable
- serialVersionUID:
- 1453121012707399758L
-
Serialized Fields
-
m_ownerApp
weka.gui.GUIApplication m_ownerApp
-
m_perspectiveEditors
List<weka.gui.SettingsEditor.SingleSettingsEditor> m_perspectiveEditors
-
m_perspectiveSelector
weka.gui.SettingsEditor.PerspectiveSelector m_perspectiveSelector
-
m_settings
weka.core.Settings m_settings
-
m_settingsTabs
JTabbedPane m_settingsTabs
-
-
Class weka.gui.SettingsEditor.PerspectiveSelector extends JPanel implements Serializable
- serialVersionUID:
- -4765015948030757897L
-
Class weka.gui.SettingsEditor.PickList extends JPanel implements Serializable
- serialVersionUID:
- 3505647427533464230L
-
Class weka.gui.SettingsEditor.SingleSettingsEditor extends JPanel implements Serializable
- serialVersionUID:
- 8896265984902770239L
-
Serialized Fields
-
m_editorMap
Map<weka.core.Settings.SettingKey,PropertyEditor> m_editorMap
-
m_perspSettings
Map<weka.core.Settings.SettingKey,Object> m_perspSettings
-
-
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_CommandHistory
Vector<String> m_CommandHistory
-
m_Completion
weka.gui.SimpleCLIPanel.CommandlineCompletion m_Completion
-
m_HistoryPos
int m_HistoryPos
-
m_Input
JTextField m_Input
-
m_mainApp
weka.gui.GUIApplication m_mainApp
-
m_OutputArea
JTextPane m_OutputArea
-
m_perspectiveIcon
Icon m_perspectiveIcon
-
m_RunThread
Thread m_RunThread
-
m_Variables
Map<String,Object> m_Variables
-
-
Class weka.gui.SortedTableModel extends AbstractTableModel implements Serializable
- serialVersionUID:
- 4030907921461127548L
-
Serialized Fields
-
mAscending
boolean mAscending
-
mIndices
int[] mIndices
-
mModel
TableModel mModel
-
mSortColumn
int mSortColumn
-
-
Class weka.gui.SplashWindow extends Window implements Serializable
- serialVersionUID:
- -2685134277041307795L
-
Class weka.gui.ViewerDialog extends JDialog implements Serializable
- serialVersionUID:
- 6747718484736047752L
-
Class weka.gui.WekaFileChooser extends JFileChooser implements Serializable
-
Serialized Fields
-
m_AccessoryPanel
JPanel m_AccessoryPanel
-
m_BookmarksPanel
weka.gui.WekaFileChooser.FileChooserBookmarksPanel m_BookmarksPanel
-
-
-
Class weka.gui.WekaFileChooser.Factory extends com.googlecode.jfilechooserbookmarks.DefaultFactory implements Serializable
-
Class weka.gui.WekaFileChooser.FileChooserBookmarksPanel extends com.googlecode.jfilechooserbookmarks.AbstractBookmarksPanel implements Serializable
-
Class weka.gui.WekaFileChooser.PropertiesHandler extends com.googlecode.jfilechooserbookmarks.AbstractPropertiesHandler implements Serializable
-
Class weka.gui.WekaTaskMonitor extends JPanel implements Serializable
- serialVersionUID:
- 508309816292197578L
-
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
-
-