moa

Interface MOAObject

All Superinterfaces:

Serializable

All Known Subinterfaces:

AttributeClassObserver, ChangeDetector, ClassificationPerformanceEvaluator, Classifier, Clusterer, ConceptDriftGenerator, DiscreteAttributeClassObserver, InstanceStream, LearningPerformanceEvaluator, NumericAttributeClassObserver, Option, OptionHandler, RegressionPerformanceEvaluator, SplitCriterion, StreamFilter, Task

All Known Implementing Classes:

AbruptChangeGenerator, AbstractAMRules, AbstractC, AbstractCBase, AbstractChangeDetector, AbstractClassifier, AbstractClassOption, AbstractClusterer, AbstractConceptDriftGenerator, AbstractErrorWeightedVote, AbstractMOAObject, AbstractOption, AbstractOptionHandler, AbstractStreamFilter, AbstractTask, Accuracy, AccuracyUpdatedEnsemble, AccuracyWeightedEnsemble, ActiveClassifier, ADACC, AdaHoeffdingOptionTree, AdaHoeffdingOptionTree.AdaLearningNode, AddNoiseFilter, ADWIN, ADWINChangeDetector, AgrawalGenerator, AMRulesRegressor, AnyOut, AnyOutCore, ApproxSTORM, ArffFileStream, ASHoeffdingTree, AttributeSplitSuggestion, AutoExpandVector, BaselinePredictor, BasicClassificationPerformanceEvaluator, BasicClusteringPerformanceEvaluator, BasicConceptDriftPerformanceEvaluator, BasicRegressionPerformanceEvaluator, BinaryTreeNumericAttributeClassObserver, BinaryTreeNumericAttributeClassObserverRegression, BRISMFPredictor, CachedInstancesStream, CacheFilter, CacheShuffledStream, CFCluster, ChangeDetectionMeasures, ChangeDetectorLearner, ClassOption, ClassOptionWithNames, ClusKernel, Cluster, ClusterGenerator, Clustering, ClusteringStream, Clustream, ClustreamKernel, ClusTree, CMM, CobWeb, ConceptDriftMainTask, ConceptDriftRealStream, ConceptDriftStream, Converter, CusumDM, DACC, DDM, DecisionStump, DoubleVector, DriftDetectionMethodClassifier, EDDM, EnsembleDriftDetectionMethods, EntropyCollection, EvaluateClustering, EvaluateConceptDrift, EvaluateInterleavedChunks, EvaluateInterleavedTestThenTrain, EvaluateModel, EvaluateModelRegression, EvaluateOnlineRecommender, EvaluatePeriodicHeldOutTest, EvaluatePrequential, EvaluatePrequentialRegression, EWMAChartDM, EWMAClassificationPerformanceEvaluator, ExactSTORM, F1, FadingFactorClassificationPerformanceEvaluator, FadingTargetMean, FailedTaskReport, FileOption, FileStream, FilteredStream, FIMTDD, FIMTDD.LeafNode, FIMTDD.Node, FIMTDD.SplitNode, FIMTDDNumericAttributeClassLimitObserver, FIMTDDNumericAttributeClassObserver, FlagOption, FlixsterDataset, FloatOption, GaussianEstimator, GaussianNumericAttributeClassObserver, General, GeometricMovingAverageDM, GiniSplitCriterion, GradualChangeGenerator, GreenwaldKhannaNumericAttributeClassObserver, GreenwaldKhannaQuantileSummary, HDDM_A_Test, HDDM_W_Test, HoeffdingAdaptiveTree, HoeffdingAdaptiveTree.AdaLearningNode, HoeffdingAdaptiveTree.AdaSplitNode, HoeffdingOptionTree, HoeffdingOptionTree.ActiveLearningNode, HoeffdingOptionTree.InactiveLearningNode, HoeffdingOptionTree.LearningNode, HoeffdingOptionTree.LearningNodeNB, HoeffdingOptionTree.LearningNodeNBAdaptive, HoeffdingOptionTree.Node, HoeffdingOptionTree.SplitNode, HoeffdingTree, HoeffdingTree.ActiveLearningNode, HoeffdingTree.InactiveLearningNode, HoeffdingTree.LearningNode, HoeffdingTree.LearningNodeNB, HoeffdingTree.LearningNodeNBAdaptive, HoeffdingTree.Node, HoeffdingTree.SplitNode, HoeffdingTreeClassifLeaves, HoeffdingTreeClassifLeaves.LearningNodeClassifier, HyperplaneGenerator, InfoGainSplitCriterion, InfoGainSplitCriterionMultilabel, InstanceConditionalBinaryTest, InstanceConditionalTest, IntOption, InverseErrorWeightedVote, JesterDataset, kNN, kNNwithPAW, kNNwithPAWandADWIN, LearningCurve, LearningEvaluation, LearnModel, LearnModelRegression, LEDGenerator, LEDGeneratorDrift, LeveragingBag, LimAttClassifier, LimAttHoeffdingTree, LimAttHoeffdingTree.LearningNodeNB, LimAttHoeffdingTree.LearningNodeNBAdaptive, LimAttHoeffdingTree.LimAttLearningNode, ListOption, MainTask, MajorityClass, MajorityLabelset, MCOD, MCODBase, MeasureCollection, Measurement, MeasureStreamSpeed, MEKAClassifier, MemRecommenderData, MetaMultilabelGenerator, MicroCluster, MLOzaBag, MLOzaBagAdwin, MovielensDataset, MultiChoiceOption, MultiFilteredStream, MultilabelArffFileStream, MultilabelHoeffdingTree, MultilabelHoeffdingTree.MultilabelInactiveLearningNode, MultilabelHoeffdingTree.MultilabelLearningNodeClassifier, MultilabelWindowClassificationPerformanceEvaluator, MyBaseOutlierDetector, NaiveBayes, NaiveBayesMultinomial, NoChange, NoChangeGenerator, NominalAttributeBinaryRulePredicate, NominalAttributeBinaryTest, NominalAttributeClassObserver, NominalAttributeMultiwayTest, NonConvexCluster, NullAttributeClassObserver, NumericAttributeBinaryRulePredicate, NumericAttributeBinaryTest, OCBoost, OnlineAccuracyUpdatedEnsemble, OnlineSmoothBoost, Options, ORTO, ORTO.ActiveLearningNode, ORTO.InnerNode, ORTO.Node, ORTO.OptionNode, ORTO.ORTOPerceptron, ORTO.SplitNode, OutlierPerformance, OzaBag, OzaBagAdwin, OzaBagASHT, OzaBoost, OzaBoostAdwin, PageHinkleyDM, Perceptron, Perceptron, Plot, Predicates, RandomHoeffdingTree, RandomHoeffdingTree.LearningNodeNB, RandomHoeffdingTree.LearningNodeNBAdaptive, RandomHoeffdingTree.RandomLearningNode, RandomRBFGenerator, RandomRBFGeneratorDrift, RandomRBFGeneratorEvents, RandomRules, RandomTreeGenerator, RegressionAccuracy, RegressionMainTask, ReplacingMissingValuesFilter, Rule, RuleActiveLearningNode, RuleActiveRegressionNode, RuleClassification, RuleClassifier, RuleClassifierNBayes, RuleSplitNode, RunStreamTasks, RunTasks, SDRSplitCriterion, SDRSplitCriterionAMRules, SEAGenerator, SeqDrift1ChangeDetector, SeqDrift2ChangeDetector, SeqDrift2ChangeDetector.SeqDrift2, SGD, SGDMultiClass, SilhouetteCoefficient, SimpleCOD, SimpleCODBase, SingleClassifierDrift, SPegasos, SphereCluster, SSQ, STAGGERGenerator, StatisticalCollection, STORMBase, StreamKM, StringOption, TargetMean, TemporallyAugmentedClassifier, Timestamp, UniformWeightedVote, VarianceReductionSplitCriterion, VFMLNumericAttributeClassObserver, WaveformGenerator, WaveformGeneratorDrift, WeightedMajorityAlgorithm, WEKAClassifier, WEKAClassOption, WekaClusteringAlgorithm, WindowClassificationPerformanceEvaluator, WindowRegressionPerformanceEvaluator, WithDBSCAN, WithKmeans, WriteStreamToARFFFile

public interface MOAObject
extends Serializable

Interface implemented by classes in MOA, so that all are serializable, can produce copies of their objects, and can measure its memory size. They also give a string description.

Version:

$Revision: 7 $

Author:

Richard Kirkby (rkirkby@cs.waikato.ac.nz)

Method Summary

Methods

Modifier and Type	Method and Description
MOAObject	copy() This method produces a copy of this object.
void	getDescription(StringBuilder sb, int indent) Returns a string representation of this object.
int	measureByteSize() Gets the memory size of this object.

Method Detail

measureByteSize

int measureByteSize()

Gets the memory size of this object.

Returns:

the memory size of this object

copy

MOAObject copy()

This method produces a copy of this object.

Returns:

a copy of this object

getDescription

void getDescription(StringBuilder sb,
                  int indent)

Returns a string representation of this object. Used in AbstractMOAObject.toString to give a string representation of the object.

Parameters:

sb - the stringbuilder to add the description

indent - the number of characters to indent