weka.core
Interface OptionHandler

All Known Implementing Classes:

AbstractTimeSeries, Add, AddCluster, AddExpression, AdditiveRegression, AddNoise, ADTree, AltDist_IBk, AODE, Apriori, AttributeSelectedClassifier, AttributeSelection, AveragingResultProducer, BayesNet, BestFirst, BIRCHCluster, BVDecompose, BVDecomposeSegCVSub, CalculateLoss, CfsSubsetEval, CheckClassifier, ChiSquaredAttributeEval, Classifier, ClassifierSplitEvaluator, ClassifierSubsetEval, ClassOrder, ClusterMembership, Cobweb, ComplementNaiveBayes, ConjunctiveRule, Copy, CostSensitiveClassifier, CreateReliabilityCurve, CreateROCCurve, CrossValidationResultProducer, CSVResultListener, DatabaseResultProducer, DataToArff, DecisionTable, Decorate, Discretize, Discretize, EM, ExhaustiveSearch, Experiment, FarthestFirst, FirstOrder, ForwardSelection, GainRatioAttributeEval, GeneticSearch, IBk, InfoGainAttributeEval, InstanceQuery, J48, JRip, LearningRateResultProducer, LeastMedSq, LinearRegression, LMT, Logistic, M5Base, MakeDensityBasedClusterer, MakeIndicator, MergeTwoValues, MultiClassClassifier, MultilayerPerceptron, NaiveBayes, NNge, NominalToBinary, NominalToBinary, NumericTransform, OneR, OneRAttributeEval, OrdinalClassClassifier, PaceRegression, PairedTTester, PART, PrincipalComponents, RacedIncrementalLogitBoost, RaceSearch, RandomForest, Randomize, RandomProjection, RandomSearch, RandomSplitResultProducer, RandomTree, Ranker, RankSearch, RBFNetwork, RDG1, RegressionSplitEvaluator, ReliefFAttributeEval, Remove, RemoveFolds, RemoveMisclassified, RemovePercentage, RemoveRange, RemoveType, RemoveUseless, RemoveWithValues, REPTree, Resample, Resample, Ridor, SimpleKMeans, SimpleLogistic, SMOreg, SpreadSubsample, StackingC, StratifiedRemoveFolds, StringToNominal, StringToWordVector, SVMAttributeEval, SVMToArff, SwapValues, SymmetricalUncertAttributeEval, TCMBartsRMI, TCMKNearestNeighbours, Tertius, ThresholdSelector, USMWavDistance, VFI, VotedPerceptron, VPMBartsRMI, VPMBartsRMI2, VPMDistMetaLearner, VPMKNearestNeighbours, VPMMDLEntropyTypeDistMetaLearner, VPMNaiveBayes, VPMSimpleTypeDistMetaLearner, WrapperSubsetEval

public interface OptionHandler

Interface to something that understands options.

Version:

$Revision: 1.6 $

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

public java.util.Enumeration listOptions()

Returns an enumeration of all the available options..

Returns:

an enumeration of all available options.

setOptions

public 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

public java.lang.String[] getOptions()

Gets the current option settings for the OptionHandler.

Returns:

the list of current option settings as an array of strings