Package com.github.javacliparser

Interface Configurable

All Superinterfaces:

java.io.Serializable

All Known Subinterfaces:

ALClassifier, AMRulesLearner, AMRulesRegressorFunction, AMRulesSplitCriterion, AnomalyDetector, AttributeClassObserver, AttributeStatisticsObserver, ChangeDetector, Classifier, Clusterer, DiscreteAttributeClassObserver, FeatureImportanceClassifier, IademNumericAttributeObserver, InputAttributesSelector, Learner<E>, LearnerSemiSupervised<E>, MultiLabelClassifier, MultiLabelErrorMeasurer, MultiLabelLearner, MultiLabelSplitCriterion, MultiTargetErrorMeasurer, MultiTargetLearnerSemiSupervised, MultiTargetRegressor, NominalStatisticsObserver, NumericAttributeClassObserver, NumericStatisticsObserver, OptionHandler, OutputAttributesSelector, ProbabilityFunction, SplitCriterion, StatisticalTest

All Known Implementing Classes:

AbruptChangeGenerator, AbstractAMRules, AbstractAMRulesFunctionBasicMlLearner, AbstractAnomalyDetector, AbstractC, AbstractCBase, AbstractChangeDetector, AbstractClassifier, AbstractClusterer, AbstractConceptDriftGenerator, AbstractFeatureRanking, AbstractMultiLabelErrorMeasurer, AbstractMultiLabelLearner, AbstractMultiLabelStreamFilter, AbstractMultiTargetErrorMeasurer, AbstractOptionHandler, AbstractStreamFilter, AbstractTask, AccuracyUpdatedEnsemble, AccuracyWeightedEnsemble, ADACC, AdaGrad, AdaHoeffdingOptionTree, AdaptiveMultiTargetRegressor, AdaptiveNodePredictor, AdaptiveRandomForest, AdaptiveRandomForestRegressor, AddNoiseFilter, ADOB, ADWINChangeDetector, AdwinClassificationPerformanceEvaluator, AgrawalGenerator, ALMainTask, ALMultiParamTask, ALPartitionEvaluationTask, ALPrequentialEvaluationTask, ALRandom, ALUncertainty, ALWindowClassificationPerformanceEvaluator, AMRulesMultiLabelClassifier, AMRulesMultiLabelLearner, AMRulesMultiLabelLearnerSemiSuper, AMRulesMultiTargetRegressor, AMRulesMultiTargetRegressorSemiSuper, AMRulesRegressor, AMRulesRegressorOld, AnomalinessRatioScore, AnyOut, AnyOutCore, ApproxSTORM, ArffFileStream, ARFFIMTDD, ARFHoeffdingTree, ASHoeffdingTree, AssetNegotiationGenerator, Autoencoder, AuxiliarMainTask, BaselinePredictor, BasicAUCImbalancedPerformanceEvaluator, BasicClassificationPerformanceEvaluator, BasicFeatureRanking, BasicMultiLabelClassifier, BasicMultiLabelLearner, BasicMultiTargetRegressor, BICO, BinaryClassifierFromRegressor, BinaryTreeNumericAttributeClassObserver, BinaryTreeNumericAttributeClassObserverRegression, BOLE, BootstrappedStream, BRISMFPredictor, CacheShuffledStream, CantellisInequality, ChangeDetectorLearner, ChebyshevInequality, ClassificationMainTask, ClassifierWithFeatureImportance, ClusterGenerator, ClusteringStream, Clustream, ClusTree, CobWeb, ConceptDriftMainTask, ConceptDriftMainTask, ConceptDriftRealStream, ConceptDriftStream, ConfStream, Cramer, CSMOTE, CusumDM, DACC, DDM, DecisionStump, DominantLabelsClassifier, DriftDetectionMethodClassifier, Dstream, DynamicWeightedMajority, EDDM, EFDT, EnsembleClustererAbstract, EnsembleDriftDetectionMethods, EntropyThreshold, EvaluateClustering, EvaluateConceptDrift, EvaluateConceptDrift, EvaluateInterleavedChunks, EvaluateInterleavedChunks, EvaluateInterleavedTestThenTrain, EvaluateInterleavedTestThenTrain, EvaluateModel, EvaluateModelMultiLabel, EvaluateModelMultiTarget, EvaluateModelRegression, EvaluateMultipleClusterings, EvaluateOnlineRecommender, EvaluatePeriodicHeldOutTest, EvaluatePeriodicHeldOutTest, EvaluatePrequential, EvaluatePrequential, EvaluatePrequentialCV, EvaluatePrequentialCV, EvaluatePrequentialDelayed, EvaluatePrequentialDelayedCV, EvaluatePrequentialMultiLabel, EvaluatePrequentialMultiTarget, EvaluatePrequentialMultiTargetSemiSuper, EvaluatePrequentialRegression, EWMAChartDM, EWMAClassificationPerformanceEvaluator, ExactSTORM, ExperimenterTask, FadingFactorClassificationPerformanceEvaluator, FadingTargetMean, FeatureImportanceConfig, FeatureImportanceHoeffdingTree, FeatureImportanceHoeffdingTreeEnsemble, FileStream, FilteredStream, FIMTDD, FIMTDDNumericAttributeClassLimitObserver, FIMTDDNumericAttributeClassObserver, FixedBM, FlixsterDataset, GaussianNumericAttributeClassObserver, GaussInequality, GeometricMovingAverageDM, GiniSplitCriterion, GradualChangeGenerator, GreenwaldKhannaNumericAttributeClassObserver, HDDM_A_Test, HDDM_W_Test, HeterogeneousEnsembleAbstract, HeterogeneousEnsembleBlast, HeterogeneousEnsembleBlastFadingFactors, HoeffdingAdaptiveTree, HoeffdingAdaptiveTreeClassifLeaves, HoeffdingOptionTree, HoeffdingTree, HoeffdingTreeClassifLeaves, HSTrees, HyperplaneGenerator, Iadem2, Iadem3, Iadem3Subtree, IademGaussianNumericAttributeClassObserver, IademGreenwaldKhannaNumericAttributeClassObserver, IademVFMLNumericAttributeClassObserver, ICVarianceReduction, ImbalancedStream, InfoGainSplitCriterion, InfoGainSplitCriterionMultilabel, IrrelevantFeatureAppenderStream, ISOUPTree, JesterDataset, kNN, KNN, kNNwithPAW, kNNwithPAWandADWIN, LearningLiteral, LearningLiteralClassification, LearningLiteralRegression, LearnModel, LearnModelMultiLabel, LearnModelMultiTarget, LearnModelRegression, LearnNSE, LEDGenerator, LEDGeneratorDrift, LeveragingBag, LimAttClassifier, LimAttHoeffdingTree, LowPassFilteredLearner, MainTask, MajorityClass, MajorityLabelset, MCOD, MCODBase, MeanAbsoluteDeviationMT, MeasureStreamSpeed, MEKAClassifier, MemRecommenderData, MeritFeatureRanking, MeritThreshold, MetaMainTask, MetaMultilabelGenerator, MixedGenerator, MovielensDataset, MultiFilteredStream, MultilabelArffFileStream, MultiLabelBSTree, MultiLabelBSTreeFloat, MultiLabelFilteredStream, MultilabelHoeffdingTree, MultilabelInformationGain, MultiLabelMainTask, MultiLabelNaiveBayes, MultiLabelNominalAttributeObserver, MultiLabelPerceptronClassification, MultiLabelRandomAMRules, MultiTargetArffFileStream, MultiTargetMainTask, MultiTargetMeanRegressor, MultiTargetNoChange, MultiTargetPerceptronRegressor, MultiTargetVarianceRatio, MultiTargetWindowRegressionPerformanceEvaluator, MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator, MyBaseOutlierDetector, NaiveBayes, NaiveBayesMultinomial, NearestNeighbourDescription, NoAnomalyDetection, NoChange, NoChangeDetection, NoChangeGenerator, NoFeatureRanking, NominalAttributeClassObserver, NullAttributeClassObserver, OCBoost, OddsRatioScore, OnlineAccuracyUpdatedEnsemble, OnlineAdaBoost, OnlineAdaC2, OnlineCSB2, OnlineRUSBoost, OnlineSmoothBoost, OnlineSMOTEBagging, OnlineUnderOverBagging, ORTO, OzaBag, OzaBagAdwin, OzaBagAdwinML, OzaBagASHT, OzaBagML, OzaBoost, OzaBoostAdwin, PageHinkleyDM, PairedLearners, PartitioningStream, Perceptron, Perceptron, Plot, RandomAMRules, RandomAMRulesOld, RandomHoeffdingTree, RandomRBFGenerator, RandomRBFGeneratorDrift, RandomRBFGeneratorEvents, RandomRules, RandomTreeGenerator, RBFFilter, RCD, RDDM, RebalanceStream, RecurrentConceptDriftStream, RegressionMainTask, RelativeMeanAbsoluteDeviationMT, RelativeRootMeanSquaredErrorMT, ReLUFilter, RemoveDiscreteAttributeFilter, ReplacingMissingValuesFilter, RootMeanSquaredErrorMT, RuleClassifier, RuleClassifierNBayes, RunStreamTasks, RunTasks, SAMkNN, SDRSplitCriterion, SDRSplitCriterionAMRules, SDRSplitCriterionAMRulesNode, SEAGenerator, SEEDChangeDetector, SelectAllInputs, SelectAllOutputs, SelectAttributesFilter, SeqDrift1ChangeDetector, SeqDrift2ChangeDetector, SGD, SGDMultiClass, SimpleCOD, SimpleCODBase, SimpleCSVStream, SineGenerator, SingleClassifierDrift, SPegasos, StackedPredictor, STAGGERGenerator, StdDevThreshold, STEPD, STORMBase, StreamingRandomPatches, StreamKM, TargetMean, TemporallyAugmentedClassifier, TextGenerator, VarianceRatioSplitCriterion, VarianceReductionSplitCriterion, VarianceThreshold, VFMLNumericAttributeClassObserver, VRSplitCriterion, WaveformGenerator, WaveformGeneratorDrift, WeightedMajorityAlgorithm, WeightedMajorityFeatureRanking, WEKAClassifier, WekaClusteringAlgorithm, WindowAUCImbalancedPerformanceEvaluator, WindowClassificationPerformanceEvaluator, WindowRegressionPerformanceEvaluator, WithDBSCAN, WithKmeans, WriteConfigurationToJupyterNotebook, WriteMultipleStreamsToARFF, WriteStreamToARFFFile

public interface Configurable
extends java.io.Serializable

Configurable interface.

Author:

abifet