weka.core
Interface OptionHandler

All Known Subinterfaces:
CARuleMiner, DistanceFunction
All Known Implementing Classes:
AbstractClassifier, AbstractFileSaver, AbstractOutput, AbstractPlotInstances, AbstractStringDistanceFunction, AbstractTimeSeries, AdaBoostM1, Add, AddClassification, AddCluster, AddExpression, AddID, AdditiveRegression, AddNoise, AddValues, ADTree, Agrawal, AllJavadoc, AlphabeticTokenizer, AODE, AODEsr, Apriori, ArffSaver, AttributeSelectedClassifier, AttributeSelection, AveragingResultProducer, Bagging, BallSplitter, BallTree, BallTreeConstructor, BayesianLogisticRegression, BayesNet, BayesNet, BayesNetEstimator, BayesNetGenerator, BestFirst, BFTree, BIFReader, BIRCHCluster, BMAEstimator, BottomUpConstructor, BVDecompose, BVDecomposeSegCVSub, C45Saver, CachedKernel, Center, CfsSubsetEval, ChangeDateFormat, CharacterDelimitedTokenizer, ChebyshevDistance, Check, CheckAssociator, CheckAttributeSelection, CheckClassifier, CheckClusterer, CheckEstimator, CheckGOE, CheckKernel, CheckOptionHandler, CheckScheme, CheckSource, CheckSource, ChiSquaredAttributeEval, CISearchAlgorithm, CitationKNN, ClassAssigner, ClassBalancedND, ClassificationGenerator, ClassificationViaClustering, ClassificationViaRegression, ClassifierAttributeEval, ClassifierErrorsPlotInstances, ClassifierSplitEvaluator, ClassifierSubsetEval, ClassOrder, CLOPE, ClusterDefinition, ClustererAssignmentsPlotInstances, ClusterGenerator, ClusterMembership, Cobweb, ComplementNaiveBayes, ConjunctiveRule, Copy, CostSensitiveASEvaluation, CostSensitiveAttributeEval, CostSensitiveClassifier, CostSensitiveClassifierSplitEvaluator, CostSensitiveSubsetEval, CoverTree, CrossValidationResultProducer, CrossValidationSplitResultProducer, CSV, CSVLoader, CSVResultListener, CSVSaver, CVParameterSelection, Dagging, DatabaseLoader, DatabaseResultProducer, DatabaseSaver, DataGenerator, DataNearBalancedND, DBScan, DecisionStump, DecisionTable, Decorate, DensityBasedClustererSplitEvaluator, DiscreteEstimator, DiscreteEstimatorBayes, DiscreteEstimatorFullBayes, DiscreteGenerator, DiscreteUniformGenerator, Discretize, Discretize, DMNBtext, DTNB, EditableBayesNet, EditDistance, EM, EMGenerator, EMImputation, END, EnsembleSelection, Estimator, EuclideanDistance, ExhaustiveSearch, Experiment, ExplicitTestsetResultProducer, Expression, FarthestFirst, FCBFSearch, FilteredAssociator, FilteredAttributeEval, FilteredClassifier, FilteredClusterer, FilteredSubsetEval, FindWithCapabilities, FirstOrder, FLR, FPGrowth, FromFile, FT, FTInnerNode, FTLeavesNode, FTNode, FTtree, FURIA, GainRatioAttributeEval, GaussianGenerator, GaussianProcesses, GeneralizedSequentialPatterns, GeneralRegression, Generator, GeneticSearch, GeneticSearch, GeneticSearch, GlobalInfoJavadoc, GlobalScoreSearchAlgorithm, Grading, GreedyStepwise, GridSearch, GroovyClassifier, GroovyScript, HierarchicalClusterer, HillClimber, HillClimber, HNB, HotSpot, HTML, HyperPipes, IB1, IBk, ICSSearchAlgorithm, Id3, InfoGainAttributeEval, InstanceQuery, InstancesResultListener, InterquartileRange, IsotonicRegression, IteratedSingleClassifierEnhancer, J48, J48graft, Javadoc, JRip, JSONSaver, JythonClassifier, JythonScript, K2, K2, KDTree, KDTreeNodeSplitter, Kernel, KernelEstimator, KernelFilter, KMeansInpiredMethod, KStar, LADTree, LAGDHillClimber, LatentSemanticAnalysis, LBR, LearningRateResultProducer, LeastMedSq, LED24, LibLINEAR, LibSVM, LibSVMSaver, LinearForwardSelection, LinearNNSearch, LinearRegression, ListOptions, LMT, LMTNode, LocalScoreSearchAlgorithm, Logistic, LogisticBase, LogitBoost, LWL, M5Base, M5P, M5Rules, MahalanobisEstimator, Main, MakeDensityBasedClusterer, MakeIndicator, ManhattanDistance, MathExpression, MatlabSaver, MDD, MedianDistanceFromArbitraryPoint, MedianOfWidestDimension, MedianOfWidestDimension, MergeManyValues, MergeTwoValues, MetaCost, MexicanHat, MIBoost, MIDD, MiddleOutConstructor, MidPointOfWidestDimension, MIEMDD, MILESFilter, MILR, MinkowskiDistance, MINND, MIOptimalBall, MIPolyKernel, MIRBFKernel, MISMO, MISVM, MIWrapper, MixedGaussianGenerator, MultiBoostAB, MultiClassClassifier, MultiFilter, MultiInstanceToPropositional, MultilayerPerceptron, MultilayerPerceptronCS, MultiNomialBMAEstimator, MultipleClassifiersCombiner, MultiScheme, NaiveBayes, NaiveBayes, NaiveBayesMultinomial, NaiveBayesMultinomialUpdateable, NaiveBayesSimple, NaiveBayesUpdateable, NBTree, ND, NearestNeighbourSearch, NeuralNetwork, NGramTokenizer, NNge, NominalGenerator, NominalToBinary, NominalToBinary, NominalToString, NonSparseToSparse, NormalEstimator, NormalizableDistance, Normalize, Normalize, NormalizedPolyKernel, Null, NumericCleaner, NumericToBinary, NumericToNominal, NumericTransform, OLM, OneClassClassifier, OneR, OneRAttributeEval, OPTICS, OptionHandlerJavadoc, OrdinalClassClassifier, OSDL, OSDLCore, PaceRegression, PairedCorrectedTTester, PairedTTester, ParallelIteratedSingleClassifierEnhancer, ParallelMultipleClassifiersCombiner, PART, PartitionedMultiFilter, PKIDiscretize, PlainText, PLSClassifier, PLSFilter, PMMLClassifier, PointsClosestToFurthestChildren, PoissonEstimator, PolyKernel, PotentialClassIgnorer, PrecomputedKernelMatrixKernel, PreConstructedLinearModel, PredictiveApriori, PrincipalComponents, PrincipalComponents, Prism, PropositionalToMultiInstance, Puk, RacedIncrementalLogitBoost, RaceSearch, RandomCommittee, RandomForest, RandomizableClassifier, RandomizableClusterer, RandomizableDensityBasedClusterer, RandomizableDistributionGenerator, RandomizableGenerator, RandomizableIteratedSingleClassifierEnhancer, RandomizableMultipleClassifiersCombiner, RandomizableParallelIteratedSingleClassifierEnhancer, RandomizableParallelMultipleClassifiersCombiner, RandomizableRangedGenerator, RandomizableSingleClassifierEnhancer, RandomizableSingleClustererEnhancer, Randomize, RandomProjection, RandomRBF, RandomSearch, RandomSplitResultProducer, RandomSubset, RandomSubSpace, RandomTree, Ranker, RankSearch, RBFKernel, RBFNetwork, RDG1, RealAdaBoost, RegOptimizer, Regression, RegressionByDiscretization, RegressionGenerator, RegressionSplitEvaluator, RegSMO, RegSMOImproved, RELAGGS, ReliefFAttributeEval, RemoteExperiment, Remove, RemoveByName, RemoveFolds, RemoveFrequentValues, RemoveMisclassified, RemovePercentage, RemoveRange, RemoveType, RemoveUseless, RemoveWithValues, RenameAttribute, Reorder, RepeatedHillClimber, RepeatedHillClimber, ReplaceMissingValues, REPTree, Resample, Resample, ReservoirSample, ResultMatrix, ResultMatrixCSV, ResultMatrixGnuPlot, ResultMatrixHTML, ResultMatrixLatex, ResultMatrixPlainText, ResultMatrixSignificance, Ridor, RotationForest, RuleNode, RuleSetModel, ScatterSearchV1, Script, SearchAlgorithm, SerializedClassifier, SerializedInstancesSaver, sIB, SignificanceAttributeEval, SimpleBatchFilter, SimpleCart, SimpleEstimator, SimpleFilter, SimpleKMeans, SimpleLinearRegression, SimpleLogistic, SimpleMI, SimpleStreamFilter, SimulatedAnnealing, SimulatedAnnealing, SingleAssociatorEnhancer, SingleClassifierEnhancer, SingleClustererEnhancer, SlidingMidPointOfWidestSide, SMO, SMOreg, SMOTE, SnowballStemmer, SortLabels, SPegasos, SpreadSubsample, Stacking, StackingC, Standardize, StratifiedRemoveFolds, StringKernel, StringToNominal, StringToWordVector, SubsetByExpression, SubsetSizeForwardSelection, SubspaceCluster, SubspaceClusterDefinition, SVMAttributeEval, SVMLightSaver, SwapValues, SymmetricalUncertAttributeEval, SymmetricalUncertAttributeSetEval, TabuSearch, TabuSearch, TabuSearch, TAN, TAN, TechnicalInformationHandlerJavadoc, Tertius, TestInstances, TextDirectoryLoader, ThresholdSelector, TimeSeriesDelta, TimeSeriesTranslate, TLD, TLDSimple, Tokenizer, TopDownConstructor, TreeModel, UniformDataGenerator, UserClassifier, VFI, Vote, VotedPerceptron, WAODE, Wavelet, Winnow, WordTokenizer, WrapperSubsetEval, XMeans, XML, XRFFSaver, ZeroR

public interface OptionHandler

Interface to something that understands options.

Version:
$Revision: 5953 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz), Len Trigg (trigg@cs.waikato.ac.nz)

Method Summary
 java.lang.String[] getOptions()
          Gets the current option settings for the OptionHandler.
 java.util.Enumeration listOptions()
          Returns an enumeration of all the available options..
 void setOptions(java.lang.String[] options)
          Sets the OptionHandler's options using the given list.
 

Method Detail

listOptions

java.util.Enumeration listOptions()
Returns an enumeration of all the available options..

Returns:
an enumeration of all available options.

setOptions

void setOptions(java.lang.String[] options)
                throws java.lang.Exception
Sets the OptionHandler's options using the given list. All options will be set (or reset) during this call (i.e. incremental setting of options is not possible).

Parameters:
options - the list of options as an array of strings
Throws:
java.lang.Exception - if an option is not supported

getOptions

java.lang.String[] getOptions()
Gets the current option settings for the OptionHandler.

Returns:
the list of current option settings as an array of strings