MOA 12.03
Real Time Analytics for Data Streams
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moa.classifiers.AbstractClassifier | Abstract Classifier |
moa.options.AbstractClassOption | Abstract class option |
moa.clusterers.AbstractClusterer | |
moa.AbstractMOAObject | Abstract MOA Object |
moa.options.AbstractOption | Abstract option |
moa.options.AbstractOptionHandler | Abstract Option Handler |
moa.streams.filters.AbstractStreamFilter | Abstract Stream Filter |
moa.gui.AbstractTabPanel | Abstract Tab Panel |
moa.tasks.AbstractTask | Abstract Task |
moa.evaluation.Accuracy | |
moa.classifiers.meta.AccuracyUpdatedEnsemble | The Accuracy Updated Ensemble classifier as proposed by Brzezinski and Stefanowski in "Accuracy Updated Ensemble for Data Streams with Concept Drift", HAIS 2011 |
moa.classifiers.meta.AccuracyWeightedEnsemble | The Accuracy Weighted Ensemble classifier as proposed by Wang et al |
moa.classifiers.active.ActiveClassifier | Active learning setting for evolving data streams |
moa.classifiers.trees.AdaHoeffdingOptionTree | Adaptive decision option tree for streaming data with adaptive Naive Bayes classification at leaves |
moa.streams.filters.AddNoiseFilter | Filter for adding random noise to examples in a stream |
moa.classifiers.core.driftdetection.ADWIN | ADaptive sliding WINdow method |
moa.streams.generators.AgrawalGenerator | Stream generator for Agrawal dataset |
moa.streams.ArffFileStream | Stream reader of ARFF files |
moa.classifiers.trees.ASHoeffdingTree | Adaptive Size Hoeffding Tree used in Bagging using trees of different size |
moa.classifiers.core.attributeclassobservers.AttributeClassObserver | Interface for observing the class data distribution for an attribute |
moa.classifiers.core.AttributeSplitSuggestion | Class for computing attribute split suggestions given a split test |
moa.core.AutoClassDiscovery | Class for discovering classes via reflection in the java class path |
moa.core.AutoExpandVector< T > | Vector with the capability of automatic expansion |
moa.clusterers.clustream.AuxiliaryFunctions | Helpful static functions |
moa.clusterers.clustree.util.AuxiliaryFunctions | Helpful static functions |
moa.gui.AWTInteractiveRenderer | |
moa.gui.AWTRenderable | Interface representing a component that is renderable |
moa.gui.AWTRenderer | Interface representing a component to edit an option |
moa.evaluation.BasicClassificationPerformanceEvaluator | Classification evaluator that performs basic incremental evaluation |
moa.evaluation.BasicClusteringPerformanceEvaluator | Clustering evaluator that performs basic incremental evaluation |
moa.evaluation.BasicRegressionPerformanceEvaluator | Regression evaluator that performs basic incremental evaluation |
moa.gui.BatchCmd | |
moa.clusterers.clustree.ClusTree.BestMergeInNode | A class to code the return value of searching the smallest merge in a node |
moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver.Bin | |
moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver | Class for observing the class data distribution for a numeric attribute using a binary tree |
moa.clusterers.streamkm.BucketManager.Bucket | |
moa.clusterers.streamkm.BucketManager | |
moa.clusterers.clustree.util.Budget | This is an interface for classes that are to be given along with every data point inserted in the tree |
moa.streams.CachedInstancesStream | Stream generator for representing a stream that is cached in memory |
moa.tasks.CacheShuffledStream | Task for storing and shuffling examples in memory |
moa.cluster.CFCluster | |
moa.streams.generators.AgrawalGenerator.ClassFunction | |
moa.streams.generators.SEAGenerator.ClassFunction | |
moa.streams.generators.STAGGERGenerator.ClassFunction | |
moa.evaluation.ClassificationMeasureCollection | Classification Measure Collection interface that it is used to not appear in clustering |
moa.evaluation.ClassificationPerformanceEvaluator | Interface implemented by learner evaluators to monitor the results of the learning process |
moa.gui.ClassificationTabPanel | This panel allows the user to select and configure a task, and run it |
moa.classifiers.Classifier | Classifier interface for incremental classification models |
moa.options.ClassOption | Class option |
moa.gui.ClassOptionEditComponent | An OptionEditComponent that lets the user edit a class option |
moa.gui.ClassOptionSelectionPanel | Creates a panel that displays the classes available, letting the user select a class |
moa.clusterers.clustree.ClusKernel | Representation of an Entry in the tree |
moa.cluster.Cluster | |
moa.clusterers.Clusterer | |
moa.streams.clustering.ClusterEvent | |
moa.streams.clustering.ClusterEventListener | |
moa.clusterers.ClusterGenerator | |
moa.cluster.Clustering | Represents a collection of clusters |
moa.gui.clustertab.ClusteringAlgoPanel | |
moa.gui.clustertab.ClusteringEvalPanel | |
moa.gui.clustertab.ClusteringSetupTab | |
moa.streams.clustering.ClusteringStream | |
moa.gui.clustertab.ClusteringTabPanel | |
moa.gui.clustertab.ClusteringVisualEvalPanel | |
moa.gui.clustertab.ClusteringVisualTab | |
moa.gui.visualization.ClusterPanel | |
moa.clusterers.clustream.Clustream | |
moa.clusterers.clustream.ClustreamKernel | |
moa.clusterers.clustree.ClusTree | |
moa.evaluation.CMM | |
moa.evaluation.CMM_GTAnalysis | |
moa.evaluation.CMM_GTAnalysis.CMMPoint | Wrapper class for data points to store CMM relevant attributes |
moa.clusterers.CobWeb | |
moa.classifiers.meta.LimAttClassifier.CombinationGenerator | |
moa.streams.ConceptDriftRealStream | Stream generator that adds concept drift to examples in a stream with different classes and attributes |
moa.streams.ConceptDriftStream | Stream generator that adds concept drift to examples in a stream |
moa.gui.visualization.DataPoint | |
moa.classifiers.core.driftdetection.DDM | Drift detection method based in DDM method of Joao Gama SBIA 2004 |
moa.classifiers.trees.DecisionStump | Decision trees of one level |
moa.clusterers.denstream.DenStream | DenStream: Density-based clustering over an evolving data stream with noise (2006) |
moa.classifiers.core.attributeclassobservers.DiscreteAttributeClassObserver | Interface for observing the class data distribution for a discrete (nominal) attribute |
moa.DoTask | Class for running a MOA task from the command line |
moa.core.DoubleVector | Vector of double numbers with some utilities |
moa.clusterers.clustree.util.DoubleVector | |
moa.classifiers.core.driftdetection.DriftDetectionMethod | Drift detection interface to implement methods that detects change |
moa.classifiers.core.driftdetection.EDDM | Drift detection method based in EDDM method of Manuel Baena et al |
moa.evaluation.EntropyCollection | |
moa.clusterers.clustree.Entry | |
moa.evaluation.FadingFactorClassificationPerformanceEvaluator.Estimator | |
moa.evaluation.EWMAClassificationPerformanceEvaluator.Estimator | |
moa.evaluation.WindowClassificationPerformanceEvaluator.Estimator | |
moa.evaluation.WindowRegressionPerformanceEvaluator.Estimator | |
moa.tasks.EvaluateClustering | Task for evaluating a clusterer on a stream |
moa.tasks.EvaluateInterleavedChunks | |
moa.tasks.EvaluateInterleavedTestThenTrain | Task for evaluating a classifier on a stream by testing then training with each example in sequence |
moa.tasks.EvaluateModel | Task for evaluating a static model on a stream |
moa.tasks.EvaluatePeriodicHeldOutTest | Task for evaluating a classifier on a stream by periodically testing on a heldout set |
moa.tasks.EvaluatePrequential | Task for evaluating a classifier on a stream by testing then training with each example in sequence |
moa.evaluation.EWMAClassificationPerformanceEvaluator | Classification evaluator that updates evaluation results using an Exponential Weighted Moving Average |
moa.evaluation.F1 | |
moa.evaluation.FadingFactorClassificationPerformanceEvaluator | Classification evaluator that updates evaluation results using a fading factor |
moa.tasks.FailedTaskReport | Class for reporting a failed task |
moa.gui.FileExtensionFilter | A filter that is used to restrict the files that are shown |
moa.options.FileOption | File option |
moa.gui.FileOptionEditComponent | An OptionEditComponent that lets the user edit a file option |
moa.streams.clustering.FileStream | |
moa.streams.FilteredStream | Class for representing a stream that is filtered |
moa.options.FlagOption | Flag option |
moa.gui.FlagOptionEditComponent | An OptionEditComponent that lets the user edit a flag option |
moa.options.FloatOption | Float option |
moa.gui.FloatOptionEditComponent | An OptionEditComponent that lets the user edit a float option |
moa.clusterers.clustream.cern.Gamma | Gamma and Beta functions |
moa.clusterers.clustree.util.Gamma | Gamma and Beta functions |
moa.core.GaussianEstimator | Gaussian incremental estimator that uses incremental method that is more resistant to floating point imprecision |
moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver | Class for observing the class data distribution for a numeric attribute using gaussian estimators |
moa.evaluation.General | |
moa.classifiers.core.splitcriteria.GiniSplitCriterion | Class for computing splitting criteria using Gini with respect to distributions of class values |
moa.core.Globals | Class for storing global information about current version of MOA |
moa.gui.visualization.GraphAxes | |
moa.gui.visualization.GraphCanvas | |
moa.gui.visualization.GraphCurve | |
moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver | Class for observing the class data distribution for a numeric attribute using Greenwald and Khanna methodology |
moa.core.GreenwaldKhannaQuantileSummary | Class for representing summaries of Greenwald and Khanna quantiles |
moa.evaluation.CMM_GTAnalysis.GTCluster | Main class to model the new clusters that will be the output of the cluster analysis |
moa.gui.GUI | The main class for the MOA gui |
moa.gui.GUIDefaults | This class offers get methods for the default GUI settings in the props file moa/gui/GUI.props |
moa.gui.GUIUtils | This class offers util methods for displaying dialogs showing errors or exceptions |
moa.classifiers.trees.HoeffdingAdaptiveTree | Hoeffding Adaptive Tree for evolving data streams |
moa.classifiers.trees.HoeffdingOptionTree | Hoeffding Option Tree |
moa.classifiers.trees.HoeffdingTree | Hoeffding Tree or VFDT |
moa.streams.generators.HyperplaneGenerator | Stream generator for Hyperplane data stream |
moa.classifiers.core.splitcriteria.InfoGainSplitCriterion | Class for computing splitting criteria using information gain with respect to distributions of class values |
moa.gui.visualization.InfoPanel | |
moa.core.InputStreamProgressMonitor | Class for monitoring the progress of reading an input stream |
moa.classifiers.core.conditionaltests.InstanceConditionalBinaryTest | Abstract binary conditional test for instances to use to split nodes in Hoeffding trees |
moa.classifiers.core.conditionaltests.InstanceConditionalTest | Abstract conditional test for instances to use to split nodes in Hoeffding trees |
moa.core.InstancesHeader | Class for storing the header or context of a data stream |
moa.streams.InstanceStream | Interface representing a data stream of instances |
moa.options.IntOption | Int option |
moa.gui.IntOptionEditComponent | An OptionEditComponent that lets the user edit an integer option |
moa.clusterers.KMeans | A kMeans implementation for microclusterings |
moa.evaluation.LearningCurve | Class that stores and keeps the history of evaluation measurements |
moa.evaluation.LearningEvaluation | Class that stores an array of evaluation measurements |
moa.evaluation.LearningPerformanceEvaluator | Interface implemented by learner evaluators to monitor the results of the learning process |
moa.tasks.LearnModel | Task for learning a model without any evaluation |
moa.streams.generators.LEDGenerator | Stream generator for the problem of predicting the digit displayed on a 7-segment LED display |
moa.streams.generators.LEDGeneratorDrift | Stream generator for the problem of predicting the digit displayed on a 7-segment LED display with drift |
moa.classifiers.meta.LeveragingBag | Leveraging Bagging for evolving data streams using ADWIN |
moa.classifiers.meta.LimAttClassifier | Ensemble Combining Restricted Hoeffding Trees using Stacking |
moa.classifiers.trees.LimAttHoeffdingTree | Hoeffding decision trees with a restricted number of attributes for data streams |
moa.gui.LineGraphViewPanel | This panel displays an evaluation learning curve |
moa.options.ListOption | List option |
moa.tasks.MainTask | Abstract Main Task |
moa.classifiers.functions.MajorityClass | Majority class learner |
moa.MakeObject | Class for writing a MOA object to a file from the command line |
moa.evaluation.MeasureCollection | |
moa.core.Measurement | Class for storing an evaluation measurement |
moa.tasks.MeasureStreamSpeed | Task for measuring the speed of the stream |
moa.evaluation.MembershipMatrix | |
moa.streams.generators.multilabel.MetaMultilabelGenerator | Stream generator for multilabel data |
moa.clusterers.denstream.MicroCluster | |
moa.cluster.Miniball | Java Porting of the Miniball.h code of Bernd Gaertner |
moa.cluster.Miniball.Miniball_b | |
moa.core.MiscUtils | Class implementing some utility methods |
weka.datagenerators.classifiers.classification.MOA | A wrapper around MOA instance streams |
weka.classifiers.meta.MOA | Wrapper for MOA classifiers |
weka.gui.MOAClassOptionEditor | An editor for MOA ClassOption objects |
moa.MOAObject | Interface implemented by classes in MOA, so that all are serializable, can produce copies of their objects, and can measure its memory size |
weka.core.MOAUtils | A helper class for MOA related classes |
moa.clusterers.streamkm.MTRandom | |
moa.options.MultiChoiceOption | Multi choice option |
moa.gui.MultiChoiceOptionEditComponent | An OptionEditComponent that lets the user edit a multi choice option |
moa.streams.generators.multilabel.MultilabelArffFileStream | Stream reader for ARFF files of multilabel data |
moa.core.MultilabelInstance | Multilabel instance |
moa.core.MultilabelInstancesHeader | Class for storing the header or context of a multilabel data stream |
moa.classifiers.bayes.NaiveBayes | Naive Bayes incremental learner |
moa.classifiers.bayes.NaiveBayesMultinomial | Class for building and using a multinomial Naive Bayes classifier |
moa.classifiers.trees.HoeffdingAdaptiveTree.NewNode | |
moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node | |
moa.clusterers.clustree.Node | |
moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest | Nominal binary conditional test for instances to use to split nodes in Hoeffding trees |
moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver | Class for observing the class data distribution for a nominal attribute |
moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest | Nominal multi way conditional test for instances to use to split nodes in Hoeffding trees |
moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver | Class for observing the class data distribution for a null attribute |
moa.tasks.NullMonitor | Class that represents a null monitor |
moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest | Numeric binary conditional test for instances to use to split nodes in Hoeffding trees |
moa.classifiers.core.attributeclassobservers.NumericAttributeClassObserver | Interface for observing the class data distribution for a numeric attribute |
moa.core.ObjectRepository | Interface for object repositories |
moa.classifiers.meta.OCBoost | Online Coordinate boosting for two classes evolving data streams |
moa.options.Option | Interface representing an option or parameter |
moa.gui.OptionEditComponent | Interface representing a component to edit an option |
moa.options.OptionHandler | Interface representing an object that handles options or parameters |
moa.options.Options | File option |
moa.gui.OptionsConfigurationPanel | This panel displays an options configuration |
moa.classifiers.meta.OzaBag | Incremental on-line bagging of Oza and Russell |
moa.classifiers.meta.OzaBagAdwin | Bagging for evolving data streams using ADWIN |
moa.classifiers.meta.OzaBagASHT | Bagging using trees of different size |
moa.classifiers.meta.OzaBoost | Incremental on-line boosting of Oza and Russell |
moa.classifiers.meta.OzaBoostAdwin | Boosting for evolving data streams using ADWIN |
moa.classifiers.functions.Perceptron | Single perceptron classifier |
moa.tasks.Plot | A task allowing to create and plot gnuplot scripts |
moa.gui.LineGraphViewPanel.PlotLine | |
moa.gui.LineGraphViewPanel.PlotPanel | |
moa.gui.LineGraphViewPanel.PlotTableModel | |
moa.clusterers.streamkm.Point | |
moa.gui.visualization.StreamPanel.pointCanvasPanel | |
moa.gui.visualization.PointPanel | |
moa.clusterers.clustream.cern.Polynomial | Polynomial functions |
moa.clusterers.clustree.util.Polynomial | Polynomial functions |
moa.gui.PreviewPanel | This panel displays the running task preview text and buttons |
moa.gui.TaskManagerPanel.ProgressCellRenderer | |
moa.core.PropertiesReader | Class implementing some properties reader utility methods |
moa.cluster.Miniball.pvt | |
moa.classifiers.trees.RandomHoeffdingTree | Random decision trees for data streams |
moa.streams.generators.RandomRBFGenerator | Stream generator for a random radial basis function stream |
moa.streams.generators.RandomRBFGeneratorDrift | Stream generator for a random radial basis function stream with drift |
moa.streams.clustering.RandomRBFGeneratorEvents | |
moa.streams.generators.RandomTreeGenerator | Stream generator for a stream based on a randomly generated tree |
moa.tasks.ResultPreviewListener | Interface implemented by classes that preview results on the Graphical User Interface |
moa.tasks.RunTasks | Task for running several experiments modifying values of parameters |
moa.gui.visualization.RunVisualizer | |
moa.streams.generators.SEAGenerator | Stream generator for SEA concepts functions |
moa.core.SerializeUtils | Class implementing some serialize utility methods |
moa.classifiers.functions.SGD | Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression and linear regression) |
moa.evaluation.SilhouetteCoefficient | |
moa.clusterers.clustree.util.SimpleBudget | |
moa.classifiers.drift.SingleClassifierDrift | Class for handling concept drift datasets with a wrapper on a classifier |
moa.core.SizeOf | Helper class for Maxim Zakharenkov's SizeOf agent |
moa.classifiers.functions.SPegasos | Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al |
moa.cluster.SphereCluster | A simple implementation of the Cluster interface representing spherical clusters |
moa.classifiers.core.splitcriteria.SplitCriterion | Interface for computing splitting criteria |
moa.evaluation.SSQ | |
moa.streams.generators.STAGGERGenerator | Stream generator for STAGGER Concept functions |
moa.tasks.StandardTaskMonitor | Class that represents a standard task monitor |
moa.evaluation.StatisticalCollection | |
moa.streams.filters.StreamFilter | Interface representing a stream filter |
moa.clusterers.streamkm.StreamKM | |
moa.gui.visualization.StreamPanel | |
moa.options.StringOption | String option |
moa.gui.StringOptionEditComponent | An OptionEditComponent that lets the user edit a string option |
moa.core.StringUtils | Class implementing some string utility methods |
moa.tasks.Task | Interface representing a task |
moa.tasks.TaskCompletionListener | Interface representing a listener for the task in TaskThread to be completed |
moa.gui.TaskLauncher | The old main class for the MOA gui, now the main class is GUI |
moa.gui.TaskManagerPanel | This panel displays the running tasks |
moa.tasks.TaskMonitor | Interface representing a task monitor |
moa.gui.TaskManagerPanel.TaskTableModel | |
moa.gui.TaskTextViewerPanel | This panel displays text |
moa.tasks.TaskThread | Task Thread |
moa.gui.TextViewerPanel | This panel displays text |
moa.clusterers.denstream.Timestamp | |
moa.core.TimingUtils | Class implementing some time utility methods |
moa.clusterers.streamkm.TreeCoreset | |
moa.clusterers.streamkm.TreeCoreset.treeNode | Datastructure representing a node within a tree |
moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver | Class for observing the class data distribution for a numeric attribute as in VFML |
moa.streams.generators.WaveformGenerator | Stream generator for the problem of predicting one of three waveform types |
moa.streams.generators.WaveformGeneratorDrift | Stream generator for the problem of predicting one of three waveform types with drift |
moa.classifiers.meta.WeightedMajorityAlgorithm | Weighted majority algorithm for data streams |
moa.classifiers.meta.WEKAClassifier | Class for using a classifier from WEKA |
moa.options.WEKAClassOption | WEKA class option |
moa.gui.WEKAClassOptionEditComponent | An OptionEditComponent that lets the user edit a WEKA class option |
moa.clusterers.WekaClusteringAlgorithm | |
moa.gui.visualization.WekaExplorer | |
moa.evaluation.WindowClassificationPerformanceEvaluator | Classification evaluator that updates evaluation results using a sliding window |
moa.evaluation.WindowRegressionPerformanceEvaluator | Regression evaluator that updates evaluation results using a sliding window |
moa.tasks.WriteStreamToARFFFile | Task to output a stream to an ARFF file |