weka.core
Interface CapabilitiesHandler

All Known Subinterfaces:
MultiInstanceCapabilitiesHandler
All Known Implementing Classes:
AbstractFileSaver, AbstractSaver, AbstractTimeSeries, AdaBoostM1, Add, AddClassification, AddCluster, AddExpression, AddID, AdditiveRegression, AddNoise, AddValues, ADTree, AllFilter, AODE, AODEsr, Apriori, ArffSaver, ASEvaluation, Associator, AttributeEvaluator, AttributeSelectedClassifier, AttributeSelection, AttributeSetEvaluator, Bagging, BayesNet, BayesNetGenerator, BFTree, BIFReader, C45PruneableClassifierTree, C45PruneableClassifierTreeG, C45Saver, CachedKernel, Center, CfsSubsetEval, ChangeDateFormat, ChiSquaredAttributeEval, CitationKNN, ClassAssigner, ClassBalancedND, ClassificationViaClustering, ClassificationViaRegression, Classifier, ClassifierSubsetEval, ClassifierTree, ClassOrder, Clusterer, ClusterMembership, Cobweb, ComplementNaiveBayes, ConjunctiveRule, ConsistencySubsetEval, Copy, CostSensitiveClassifier, CSVSaver, CVParameterSelection, Dagging, DatabaseSaver, DataNearBalancedND, DBScan, DecisionStump, DecisionTable, Decorate, DensityBasedClusterer, DiscreteEstimator, DiscreteEstimatorBayes, DiscreteEstimatorFullBayes, Discretize, Discretize, EditableBayesNet, EM, END, EnsembleSelection, Estimator, FarthestFirst, Filter, FilteredAssociator, FilteredClassifier, FilteredClusterer, FindWithCapabilities, FirstOrder, FLR, GainRatioAttributeEval, GaussianProcesses, GeneralizedSequentialPatterns, Grading, GridSearch, HNB, HoldOutSubsetEvaluator, HyperPipes, IB1, IBk, Id3, InfoGainAttributeEval, InterquartileRange, IsotonicRegression, IteratedSingleClassifierEnhancer, J48, J48graft, JRip, JythonClassifier, Kernel, KernelEstimator, KernelFilter, KStar, LBR, LeastMedSq, LibSVM, LibSVMSaver, LinearRegression, LMT, LMTNode, Logistic, LogisticBase, LogitBoost, LWL, M5Base, M5P, M5Rules, MahalanobisEstimator, MakeDecList, MakeDensityBasedClusterer, MakeIndicator, MathExpression, MDD, MergeTwoValues, MetaCost, MIBoost, MIDD, MIEMDD, MILR, MinMaxExtension, MINND, MIOptimalBall, MIPolyKernel, MIRBFKernel, MISMO, MISVM, MIWrapper, MultiBoostAB, MultiClassClassifier, MultiFilter, MultiInstanceToPropositional, MultilayerPerceptron, MultipleClassifiersCombiner, MultiScheme, NaiveBayes, NaiveBayesMultinomial, NaiveBayesMultinomialUpdateable, NaiveBayesSimple, NaiveBayesUpdateable, NBTree, NBTreeClassifierTree, ND, NNge, NominalToBinary, NominalToBinary, NominalToString, NonSparseToSparse, NormalEstimator, Normalize, Normalize, NormalizedPolyKernel, NumericCleaner, NumericToBinary, NumericToNominal, NumericTransform, Obfuscate, OLM, OneR, OneRAttributeEval, OPTICS, OrdinalClassClassifier, OSDL, OSDLCore, PaceRegression, PART, PartitionedMultiFilter, PKIDiscretize, PLSClassifier, PLSFilter, PoissonEstimator, PolyKernel, PotentialClassIgnorer, PreConstructedLinearModel, PredictiveApriori, PrincipalComponents, PrincipalComponents, Prism, PropositionalToMultiInstance, PruneableClassifierTree, Puk, RacedIncrementalLogitBoost, RandomCommittee, RandomForest, RandomizableClassifier, RandomizableClusterer, RandomizableDensityBasedClusterer, RandomizableIteratedSingleClassifierEnhancer, RandomizableMultipleClassifiersCombiner, RandomizableSingleClassifierEnhancer, RandomizableSingleClustererEnhancer, Randomize, RandomProjection, RandomSubset, RandomSubSpace, RandomTree, RBFKernel, RBFNetwork, RegressionByDiscretization, RELAGGS, ReliefFAttributeEval, Remove, RemoveFolds, RemoveFrequentValues, RemoveMisclassified, RemovePercentage, RemoveRange, RemoveType, RemoveUseless, RemoveWithValues, Reorder, ReplaceMissingValues, REPTree, Resample, Resample, ReservoirSample, Ridor, RuleNode, SerializedClassifier, SerializedInstancesSaver, SimpleBatchFilter, SimpleCart, SimpleFilter, SimpleKMeans, SimpleLinearRegression, SimpleLogistic, SimpleMI, SimpleStreamFilter, SingleAssociatorEnhancer, SingleClassifierEnhancer, SingleClustererEnhancer, SMO, SMOreg, SparseToNonSparse, SpreadSubsample, Stacking, StackingC, Standardize, StratifiedRemoveFolds, StringKernel, StringToNominal, StringToWordVector, SubsetEvaluator, SVMAttributeEval, SVMreg, SwapValues, SymmetricalUncertAttributeEval, SymmetricalUncertAttributeSetEval, Tertius, ThresholdSelector, TimeSeriesDelta, TimeSeriesTranslate, TLD, TLDSimple, UnsupervisedAttributeEvaluator, UnsupervisedSubsetEvaluator, UserClassifier, VFI, Vote, VotedPerceptron, WAODE, Wavelet, Winnow, WrapperSubsetEval, XMeans, XRFFSaver, ZeroR

public interface CapabilitiesHandler

Classes implementing this interface return their capabilities in regards to datasets.

Version:
$Revision: 1.1 $
Author:
FracPete (fracpete at waikato dot ac dot nz)
See Also:
Capabilities

Method Summary
 Capabilities getCapabilities()
          Returns the capabilities of this object.
 

Method Detail

getCapabilities

Capabilities getCapabilities()
Returns the capabilities of this object.

Returns:
the capabilities of this object
See Also:
Capabilities