Uses of Class
moa.AbstractMOAObject

Packages that use AbstractMOAObject

Package	Description
moa.classifiers
moa.classifiers.active
moa.classifiers.bayes
moa.classifiers.core
moa.classifiers.core.attributeclassobservers
moa.classifiers.core.conditionaltests
moa.classifiers.core.driftdetection
moa.classifiers.core.splitcriteria
moa.classifiers.drift
moa.classifiers.functions
moa.classifiers.lazy
moa.classifiers.meta
moa.classifiers.multilabel
moa.classifiers.multilabel.meta
moa.classifiers.rules
moa.classifiers.rules.core
moa.classifiers.rules.core.attributeclassobservers
moa.classifiers.rules.core.conditionaltests
moa.classifiers.rules.core.splitcriteria
moa.classifiers.rules.core.voting
moa.classifiers.rules.functions
moa.classifiers.rules.nodes
moa.classifiers.trees
moa.cluster
moa.clusterers
moa.clusterers.clustream
moa.clusterers.clustree
moa.clusterers.denstream
moa.clusterers.macro
moa.clusterers.outliers
moa.clusterers.outliers.AbstractC
moa.clusterers.outliers.Angiulli
moa.clusterers.outliers.AnyOut
moa.clusterers.outliers.MCOD
moa.clusterers.outliers.SimpleCOD
moa.clusterers.streamkm
moa.core
moa.core.utils
moa.evaluation
moa.learners
moa.options
moa.recommender.data
moa.recommender.dataset.impl
moa.recommender.predictor
moa.streams
moa.streams.clustering
moa.streams.filters
moa.streams.generators
moa.streams.generators.cd
moa.streams.generators.multilabel
moa.tasks

Uses of AbstractMOAObject in moa.classifiers

Subclasses of AbstractMOAObject in moa.classifiers

Modifier and Type	Class and Description
class	AbstractClassifier Abstract Classifier.

Uses of AbstractMOAObject in moa.classifiers.active

Subclasses of AbstractMOAObject in moa.classifiers.active

Modifier and Type	Class and Description
class	ActiveClassifier Active learning setting for evolving data streams.

Uses of AbstractMOAObject in moa.classifiers.bayes

Subclasses of AbstractMOAObject in moa.classifiers.bayes

Modifier and Type	Class and Description
class	NaiveBayes Naive Bayes incremental learner.
class	NaiveBayesMultinomial Class for building and using a multinomial Naive Bayes classifier.

Uses of AbstractMOAObject in moa.classifiers.core

Subclasses of AbstractMOAObject in moa.classifiers.core

Modifier and Type	Class and Description
class	AttributeSplitSuggestion Class for computing attribute split suggestions given a split test.

Uses of AbstractMOAObject in moa.classifiers.core.attributeclassobservers

Subclasses of AbstractMOAObject in moa.classifiers.core.attributeclassobservers

Modifier and Type	Class and Description
class	BinaryTreeNumericAttributeClassObserver Class for observing the class data distribution for a numeric attribute using a binary tree.
class	BinaryTreeNumericAttributeClassObserverRegression Class for observing the class data distribution for a numeric attribute using a binary tree.
class	FIMTDDNumericAttributeClassObserver
class	GaussianNumericAttributeClassObserver Class for observing the class data distribution for a numeric attribute using gaussian estimators.
class	GreenwaldKhannaNumericAttributeClassObserver Class for observing the class data distribution for a numeric attribute using Greenwald and Khanna methodology.
class	NominalAttributeClassObserver Class for observing the class data distribution for a nominal attribute.
class	NullAttributeClassObserver Class for observing the class data distribution for a null attribute.
class	VFMLNumericAttributeClassObserver Class for observing the class data distribution for a numeric attribute as in VFML.

Uses of AbstractMOAObject in moa.classifiers.core.conditionaltests

Subclasses of AbstractMOAObject in moa.classifiers.core.conditionaltests

Modifier and Type	Class and Description
class	InstanceConditionalBinaryTest Abstract binary conditional test for instances to use to split nodes in Hoeffding trees.
class	InstanceConditionalTest Abstract conditional test for instances to use to split nodes in Hoeffding trees.
class	NominalAttributeBinaryTest Nominal binary conditional test for instances to use to split nodes in Hoeffding trees.
class	NominalAttributeMultiwayTest Nominal multi way conditional test for instances to use to split nodes in Hoeffding trees.
class	NumericAttributeBinaryTest Numeric binary conditional test for instances to use to split nodes in Hoeffding trees.

Uses of AbstractMOAObject in moa.classifiers.core.driftdetection

Subclasses of AbstractMOAObject in moa.classifiers.core.driftdetection

Modifier and Type	Class and Description
class	AbstractChangeDetector Abstract Change Detector.
class	ADWIN ADaptive sliding WINdow method.
class	ADWINChangeDetector Drift detection method based in ADWIN.
class	CusumDM Drift detection method based in Cusum
class	DDM Drift detection method based in DDM method of Joao Gama SBIA 2004.
class	EDDM Drift detection method based in EDDM method of Manuel Baena et al.
class	EnsembleDriftDetectionMethods Ensemble Drift detection method
class	EWMAChartDM Drift detection method based in EWMA Charts of Ross, Adams, Tasoulis and Hand 2012
class	GeometricMovingAverageDM Drift detection method based in Geometric Moving Average Test
class	HDDM_A_Test Online drift detection method based on Hoeffding's bounds.
class	HDDM_W_Test Online drift detection method based on McDiarmid's bounds.
class	PageHinkleyDM Drift detection method based in Page Hinkley Test.
class	SeqDrift1ChangeDetector SeqDrift1ChangeDetector.java.
class	SeqDrift2ChangeDetector SeqDriftChangeDetector.java.
class	SeqDrift2ChangeDetector.SeqDrift2 SeqDrift2 uses reservoir sampling to build a sequential change detection model that uses statistically sound guarantees defined using Bernstein Bound on false positive and false negative rates.

Uses of AbstractMOAObject in moa.classifiers.core.splitcriteria

Subclasses of AbstractMOAObject in moa.classifiers.core.splitcriteria

Modifier and Type	Class and Description
class	GiniSplitCriterion Class for computing splitting criteria using Gini with respect to distributions of class values.
class	InfoGainSplitCriterion Class for computing splitting criteria using information gain with respect to distributions of class values.
class	InfoGainSplitCriterionMultilabel Class for computing splitting criteria using information gain with respect to distributions of class values for Multilabel data.
class	SDRSplitCriterion
class	VarianceReductionSplitCriterion

Uses of AbstractMOAObject in moa.classifiers.drift

Subclasses of AbstractMOAObject in moa.classifiers.drift

Modifier and Type	Class and Description
class	DriftDetectionMethodClassifier Class for handling concept drift datasets with a wrapper on a classifier.
class	SingleClassifierDrift Class for handling concept drift datasets with a wrapper on a classifier.

Uses of AbstractMOAObject in moa.classifiers.functions

Subclasses of AbstractMOAObject in moa.classifiers.functions

Modifier and Type	Class and Description
class	MajorityClass Majority class learner.
class	NoChange NoChange class classifier.
class	SGD Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression and linear regression).
class	SGDMultiClass Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression and linear regression).
class	SPegasos Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al.

Uses of AbstractMOAObject in moa.classifiers.lazy

Subclasses of AbstractMOAObject in moa.classifiers.lazy

Modifier and Type	Class and Description
class	kNN k Nearest Neighbor.
class	kNNwithPAW k Nearest Neighbor ADAPTIVE with PAW.
class	kNNwithPAWandADWIN k Nearest Neighbor ADAPTIVE with ADWIN+PAW.

Uses of AbstractMOAObject in moa.classifiers.meta

Subclasses of AbstractMOAObject in moa.classifiers.meta

Modifier and Type	Class and Description
class	AccuracyUpdatedEnsemble The revised version of the Accuracy Updated Ensemble as proposed by Brzezinski and Stefanowski in "Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm", IEEE Trans.
class	AccuracyWeightedEnsemble The Accuracy Weighted Ensemble classifier as proposed by Wang et al.
class	ADACC Anticipative and Dynamic Adaptation to Concept Changes.
class	DACC Dynamic Adaptation to Concept Changes.
class	LeveragingBag Leveraging Bagging for evolving data streams using ADWIN.
class	LimAttClassifier Ensemble Combining Restricted Hoeffding Trees using Stacking.
class	OCBoost Online Coordinate boosting for two classes evolving data streams.
class	OnlineAccuracyUpdatedEnsemble The online version of the Accuracy Updated Ensemble as proposed by Brzezinski and Stefanowski in "Combining block-based and online methods in learning ensembles from concept drifting data streams", Information Sciences, 2014.
class	OnlineSmoothBoost Incremental on-line boosting with Theoretical Justifications of Shang-Tse Chen, Hsuan-Tien Lin and Chi-Jen Lu.
class	OzaBag Incremental on-line bagging of Oza and Russell.
class	OzaBagAdwin Bagging for evolving data streams using ADWIN.
class	OzaBagASHT Bagging using trees of different size.
class	OzaBoost Incremental on-line boosting of Oza and Russell.
class	OzaBoostAdwin Boosting for evolving data streams using ADWIN.
class	RandomRules
class	TemporallyAugmentedClassifier Include labels of previous instances into the training data
class	WeightedMajorityAlgorithm Weighted majority algorithm for data streams.
class	WEKAClassifier Class for using a classifier from WEKA.

Uses of AbstractMOAObject in moa.classifiers.multilabel

Subclasses of AbstractMOAObject in moa.classifiers.multilabel

Modifier and Type	Class and Description
class	HoeffdingTreeClassifLeaves Hoeffding Tree that have a classifier at the leaves.
class	HoeffdingTreeClassifLeaves.LearningNodeClassifier
class	MajorityLabelset Majority Labelset classifier.
class	MEKAClassifier Class for using a MEKA classifier.
class	MultilabelHoeffdingTree Hoeffding Tree for classifying multi-label data.
static class	MultilabelHoeffdingTree.MultilabelInactiveLearningNode
class	MultilabelHoeffdingTree.MultilabelLearningNodeClassifier

Uses of AbstractMOAObject in moa.classifiers.multilabel.meta

Subclasses of AbstractMOAObject in moa.classifiers.multilabel.meta

Modifier and Type	Class and Description
class	MLOzaBag OzaBag for Multi-label data.
class	MLOzaBagAdwin MLOzaBagAdwin: Changes the way to compute accuracy as an input for Adwin

Uses of AbstractMOAObject in moa.classifiers.rules

Subclasses of AbstractMOAObject in moa.classifiers.rules

Modifier and Type	Class and Description
class	AbstractAMRules
class	AMRulesRegressor
class	Predicates
class	RuleClassification
class	RuleClassifier This classifier learn ordered and unordered rule set from data stream.
class	RuleClassifierNBayes This classifier learn ordered and unordered rule set from data stream with naive Bayes learners.

Uses of AbstractMOAObject in moa.classifiers.rules.core

Subclasses of AbstractMOAObject in moa.classifiers.rules.core

Modifier and Type	Class and Description
class	Rule
class	RuleActiveLearningNode A modified ActiveLearningNode that uses a Perceptron as the leaf node model, and ensures that the class values sent to the attribute observers are not truncated to ints if regression is being performed
class	RuleActiveRegressionNode A modified ActiveLearningNode that uses a Perceptron as the leaf node model, and ensures that the class values sent to the attribute observers are not truncated to ints if regression is being performed

Uses of AbstractMOAObject in moa.classifiers.rules.core.attributeclassobservers

Subclasses of AbstractMOAObject in moa.classifiers.rules.core.attributeclassobservers

Modifier and Type	Class and Description
class	FIMTDDNumericAttributeClassLimitObserver

Uses of AbstractMOAObject in moa.classifiers.rules.core.conditionaltests

Subclasses of AbstractMOAObject in moa.classifiers.rules.core.conditionaltests

Modifier and Type	Class and Description
class	NominalAttributeBinaryRulePredicate Nominal binary conditional test for instances to use to split nodes in rules.
class	NumericAttributeBinaryRulePredicate Numeric binary conditional test for instances to use to split nodes in AMRules.

Uses of AbstractMOAObject in moa.classifiers.rules.core.splitcriteria

Subclasses of AbstractMOAObject in moa.classifiers.rules.core.splitcriteria

Modifier and Type	Class and Description
class	SDRSplitCriterionAMRules

Uses of AbstractMOAObject in moa.classifiers.rules.core.voting

Subclasses of AbstractMOAObject in moa.classifiers.rules.core.voting

Modifier and Type	Class and Description
class	AbstractErrorWeightedVote AbstractErrorWeightedVote class for weighted votes based on estimates of errors.
class	InverseErrorWeightedVote InverseErrorWeightedVote class for weighted votes based on estimates of errors.
class	UniformWeightedVote UniformWeightedVote class for weighted votes based on estimates of errors.

Uses of AbstractMOAObject in moa.classifiers.rules.functions

Subclasses of AbstractMOAObject in moa.classifiers.rules.functions

Modifier and Type	Class and Description
class	FadingTargetMean
class	Perceptron
class	TargetMean

Uses of AbstractMOAObject in moa.classifiers.rules.nodes

Subclasses of AbstractMOAObject in moa.classifiers.rules.nodes

Modifier and Type	Class and Description
class	RuleSplitNode A modified SplitNode method implementing the extra information

Uses of AbstractMOAObject in moa.classifiers.trees

Subclasses of AbstractMOAObject in moa.classifiers.trees

Modifier and Type	Class and Description
class	AdaHoeffdingOptionTree Adaptive decision option tree for streaming data with adaptive Naive Bayes classification at leaves.
static class	AdaHoeffdingOptionTree.AdaLearningNode
class	ASHoeffdingTree Adaptive Size Hoeffding Tree used in Bagging using trees of different size.
class	DecisionStump Decision trees of one level. Parameters:
class	FIMTDD
static class	FIMTDD.LeafNode
static class	FIMTDD.Node
static class	FIMTDD.SplitNode
class	HoeffdingAdaptiveTree Hoeffding Adaptive Tree for evolving data streams.
static class	HoeffdingAdaptiveTree.AdaLearningNode
static class	HoeffdingAdaptiveTree.AdaSplitNode
class	HoeffdingOptionTree Hoeffding Option Tree.
static class	HoeffdingOptionTree.ActiveLearningNode
static class	HoeffdingOptionTree.InactiveLearningNode
static class	HoeffdingOptionTree.LearningNode
static class	HoeffdingOptionTree.LearningNodeNB
static class	HoeffdingOptionTree.LearningNodeNBAdaptive
static class	HoeffdingOptionTree.Node
static class	HoeffdingOptionTree.SplitNode
class	HoeffdingTree Hoeffding Tree or VFDT.
static class	HoeffdingTree.ActiveLearningNode
static class	HoeffdingTree.InactiveLearningNode
static class	HoeffdingTree.LearningNode
static class	HoeffdingTree.LearningNodeNB
static class	HoeffdingTree.LearningNodeNBAdaptive
static class	HoeffdingTree.Node
static class	HoeffdingTree.SplitNode
class	LimAttHoeffdingTree Hoeffding decision trees with a restricted number of attributes for data streams.
static class	LimAttHoeffdingTree.LearningNodeNB
static class	LimAttHoeffdingTree.LearningNodeNBAdaptive
static class	LimAttHoeffdingTree.LimAttLearningNode
class	ORTO
static class	ORTO.ActiveLearningNode
static class	ORTO.InnerNode
static class	ORTO.Node
static class	ORTO.OptionNode
static class	ORTO.ORTOPerceptron A Perceptron classifier modified to conform to the specifications of Ikonomovska et al.
static class	ORTO.SplitNode
class	RandomHoeffdingTree Random decision trees for data streams.
static class	RandomHoeffdingTree.LearningNodeNB
static class	RandomHoeffdingTree.LearningNodeNBAdaptive
static class	RandomHoeffdingTree.RandomLearningNode

Uses of AbstractMOAObject in moa.cluster

Subclasses of AbstractMOAObject in moa.cluster

Modifier and Type	Class and Description
class	CFCluster
class	Cluster
class	Clustering
class	SphereCluster A simple implementation of the Cluster interface representing spherical clusters.

Uses of AbstractMOAObject in moa.clusterers

Subclasses of AbstractMOAObject in moa.clusterers

Modifier and Type	Class and Description
class	AbstractClusterer
class	ClusterGenerator
class	CobWeb Class implementing the Cobweb and Classit clustering algorithms.
class	WekaClusteringAlgorithm

Uses of AbstractMOAObject in moa.clusterers.clustream

Subclasses of AbstractMOAObject in moa.clusterers.clustream

Modifier and Type	Class and Description
class	Clustream Citation: CluStream: Charu C.
class	ClustreamKernel
class	WithKmeans

Uses of AbstractMOAObject in moa.clusterers.clustree

Subclasses of AbstractMOAObject in moa.clusterers.clustree

Modifier and Type	Class and Description
class	ClusKernel Representation of an Entry in the tree
class	ClusTree Citation: ClusTree: Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl: The ClusTree: indexing micro-clusters for anytime stream mining.

Uses of AbstractMOAObject in moa.clusterers.denstream

Subclasses of AbstractMOAObject in moa.clusterers.denstream

Modifier and Type	Class and Description
class	MicroCluster
class	Timestamp
class	WithDBSCAN

Uses of AbstractMOAObject in moa.clusterers.macro

Subclasses of AbstractMOAObject in moa.clusterers.macro

Modifier and Type	Class and Description
class	NonConvexCluster

Uses of AbstractMOAObject in moa.clusterers.outliers

Subclasses of AbstractMOAObject in moa.clusterers.outliers

Modifier and Type	Class and Description
class	MyBaseOutlierDetector

Uses of AbstractMOAObject in moa.clusterers.outliers.AbstractC

Subclasses of AbstractMOAObject in moa.clusterers.outliers.AbstractC

Modifier and Type	Class and Description
class	AbstractC
class	AbstractCBase

Uses of AbstractMOAObject in moa.clusterers.outliers.Angiulli

Subclasses of AbstractMOAObject in moa.clusterers.outliers.Angiulli

Modifier and Type	Class and Description
class	ApproxSTORM
class	ExactSTORM
class	STORMBase

Uses of AbstractMOAObject in moa.clusterers.outliers.AnyOut

Subclasses of AbstractMOAObject in moa.clusterers.outliers.AnyOut

Modifier and Type	Class and Description
class	AnyOut
class	AnyOutCore

Uses of AbstractMOAObject in moa.clusterers.outliers.MCOD

Subclasses of AbstractMOAObject in moa.clusterers.outliers.MCOD

Modifier and Type	Class and Description
class	MCOD
class	MCODBase

Uses of AbstractMOAObject in moa.clusterers.outliers.SimpleCOD

Subclasses of AbstractMOAObject in moa.clusterers.outliers.SimpleCOD

Modifier and Type	Class and Description
class	SimpleCOD
class	SimpleCODBase

Uses of AbstractMOAObject in moa.clusterers.streamkm

Subclasses of AbstractMOAObject in moa.clusterers.streamkm

Modifier and Type	Class and Description
class	StreamKM

Uses of AbstractMOAObject in moa.core

Subclasses of AbstractMOAObject in moa.core

Modifier and Type	Class and Description
class	DoubleVector Vector of double numbers with some utilities.
class	GaussianEstimator Gaussian incremental estimator that uses incremental method that is more resistant to floating point imprecision.
class	GreenwaldKhannaQuantileSummary Class for representing summaries of Greenwald and Khanna quantiles.
class	Measurement Class for storing an evaluation measurement.

Uses of AbstractMOAObject in moa.core.utils

Subclasses of AbstractMOAObject in moa.core.utils

Modifier and Type	Class and Description
class	Converter Converter.

Uses of AbstractMOAObject in moa.evaluation

Subclasses of AbstractMOAObject in moa.evaluation

Modifier and Type	Class and Description
class	Accuracy
class	BasicClassificationPerformanceEvaluator Classification evaluator that performs basic incremental evaluation.
class	BasicClusteringPerformanceEvaluator Clustering evaluator that performs basic incremental evaluation.
class	BasicConceptDriftPerformanceEvaluator
class	BasicRegressionPerformanceEvaluator Regression evaluator that performs basic incremental evaluation.
class	ChangeDetectionMeasures
class	CMM
class	EntropyCollection
class	EWMAClassificationPerformanceEvaluator Classification evaluator that updates evaluation results using an Exponential Weighted Moving Average.
class	F1
class	FadingFactorClassificationPerformanceEvaluator Classification evaluator that updates evaluation results using a fading factor.
class	General
class	LearningCurve Class that stores and keeps the history of evaluation measurements.
class	LearningEvaluation Class that stores an array of evaluation measurements.
class	MeasureCollection
class	MultilabelWindowClassificationPerformanceEvaluator Multilabel Window Classification Performance Evaluator.
class	OutlierPerformance
class	RegressionAccuracy
class	SilhouetteCoefficient
class	SSQ
class	StatisticalCollection
class	WindowClassificationPerformanceEvaluator Classification evaluator that updates evaluation results using a sliding window.
class	WindowRegressionPerformanceEvaluator Regression evaluator that updates evaluation results using a sliding window.

Uses of AbstractMOAObject in moa.learners

Subclasses of AbstractMOAObject in moa.learners

Modifier and Type	Class and Description
class	ChangeDetectorLearner Class for detecting concept drift and to be used as a learner.

Uses of AbstractMOAObject in moa.options

Subclasses of AbstractMOAObject in moa.options

Modifier and Type	Class and Description
class	AbstractClassOption Abstract class option.
class	AbstractOption Abstract option.
class	AbstractOptionHandler Abstract Option Handler.
class	ClassOption Class option.
class	ClassOptionWithNames
class	FileOption File option.
class	FlagOption Flag option.
class	FloatOption Float option.
class	IntOption Int option.
class	ListOption List option.
class	MultiChoiceOption Multi choice option.
class	Options File option.
class	StringOption String option.
class	WEKAClassOption WEKA class option.

Uses of AbstractMOAObject in moa.recommender.data

Subclasses of AbstractMOAObject in moa.recommender.data

Modifier and Type	Class and Description
class	MemRecommenderData

Uses of AbstractMOAObject in moa.recommender.dataset.impl

Subclasses of AbstractMOAObject in moa.recommender.dataset.impl

Modifier and Type	Class and Description
class	FlixsterDataset
class	JesterDataset
class	MovielensDataset

Uses of AbstractMOAObject in moa.recommender.predictor

Subclasses of AbstractMOAObject in moa.recommender.predictor

Modifier and Type	Class and Description
class	BaselinePredictor A naive algorithm which combines the global mean of all the existing ratings, the mean rating of the user and the mean rating of the item to make a prediction.
class	BRISMFPredictor Implementation of the algorithm described in Scalable Collaborative Filtering Approaches for Large Recommender Systems (Gábor Takács, István Pilászy, Bottyán Németh, and Domonkos Tikk).

Uses of AbstractMOAObject in moa.streams

Subclasses of AbstractMOAObject in moa.streams

Modifier and Type	Class and Description
class	ArffFileStream Stream reader of ARFF files.
class	CachedInstancesStream Stream generator for representing a stream that is cached in memory.
class	ConceptDriftRealStream Stream generator that adds concept drift to examples in a stream with different classes and attributes.
class	ConceptDriftStream Stream generator that adds concept drift to examples in a stream.
class	FilteredStream Class for representing a stream that is filtered.
class	MultiFilteredStream Class for representing a stream that is filtered.

Uses of AbstractMOAObject in moa.streams.clustering

Subclasses of AbstractMOAObject in moa.streams.clustering

Modifier and Type	Class and Description
class	ClusteringStream
class	FileStream
class	RandomRBFGeneratorEvents

Uses of AbstractMOAObject in moa.streams.filters

Subclasses of AbstractMOAObject in moa.streams.filters

Modifier and Type	Class and Description
class	AbstractStreamFilter Abstract Stream Filter.
class	AddNoiseFilter Filter for adding random noise to examples in a stream.
class	CacheFilter Filter for representing a stream that is cached in memory.
class	ReplacingMissingValuesFilter Replaces the missing values with another value according to the selected strategy.

Uses of AbstractMOAObject in moa.streams.generators

Subclasses of AbstractMOAObject in moa.streams.generators

Modifier and Type	Class and Description
class	AgrawalGenerator Stream generator for Agrawal dataset.
class	HyperplaneGenerator Stream generator for Hyperplane data stream.
class	LEDGenerator Stream generator for the problem of predicting the digit displayed on a 7-segment LED display.
class	LEDGeneratorDrift Stream generator for the problem of predicting the digit displayed on a 7-segment LED display with drift.
class	RandomRBFGenerator Stream generator for a random radial basis function stream.
class	RandomRBFGeneratorDrift Stream generator for a random radial basis function stream with drift.
class	RandomTreeGenerator Stream generator for a stream based on a randomly generated tree..
class	SEAGenerator Stream generator for SEA concepts functions.
class	STAGGERGenerator Stream generator for STAGGER Concept functions.
class	WaveformGenerator Stream generator for the problem of predicting one of three waveform types.
class	WaveformGeneratorDrift Stream generator for the problem of predicting one of three waveform types with drift.

Uses of AbstractMOAObject in moa.streams.generators.cd

Subclasses of AbstractMOAObject in moa.streams.generators.cd

Modifier and Type	Class and Description
class	AbruptChangeGenerator
class	AbstractConceptDriftGenerator
class	GradualChangeGenerator
class	NoChangeGenerator

Uses of AbstractMOAObject in moa.streams.generators.multilabel

Subclasses of AbstractMOAObject in moa.streams.generators.multilabel

Modifier and Type	Class and Description
class	MetaMultilabelGenerator Stream generator for multilabel data.
class	MultilabelArffFileStream Stream reader for ARFF files of multilabel data.

Uses of AbstractMOAObject in moa.tasks

Subclasses of AbstractMOAObject in moa.tasks

Modifier and Type	Class and Description
class	AbstractTask Abstract Task.
class	CacheShuffledStream Task for storing and shuffling examples in memory.
class	ConceptDriftMainTask
class	EvaluateClustering Task for evaluating a clusterer on a stream.
class	EvaluateConceptDrift Task for evaluating a classifier on a stream by testing then training with each example in sequence.
class	EvaluateInterleavedChunks
class	EvaluateInterleavedTestThenTrain Task for evaluating a classifier on a stream by testing then training with each example in sequence.
class	EvaluateModel Task for evaluating a static model on a stream.
class	EvaluateModelRegression Task for evaluating a static model on a stream.
class	EvaluateOnlineRecommender Test for evaluating a recommender by training and periodically testing on samples from a rating dataset.
class	EvaluatePeriodicHeldOutTest Task for evaluating a classifier on a stream by periodically testing on a heldout set.
class	EvaluatePrequential Task for evaluating a classifier on a stream by testing then training with each example in sequence.
class	EvaluatePrequentialRegression Task for evaluating a classifier on a stream by testing then training with each example in sequence.
class	FailedTaskReport Class for reporting a failed task.
class	LearnModel Task for learning a model without any evaluation.
class	LearnModelRegression Task for learning a model without any evaluation.
class	MainTask Abstract Main Task.
class	MeasureStreamSpeed Task for measuring the speed of the stream.
class	Plot A task allowing to create and plot gnuplot scripts.
class	RegressionMainTask
class	RunStreamTasks Task for running several experiments modifying values of parameters.
class	RunTasks Task for running several experiments modifying values of parameters.
class	WriteStreamToARFFFile Task to output a stream to an ARFF file