程序包 weka.core
接口 OptionHandler
- 所有已知子接口:
CARuleMiner
,DistanceFunction
- 所有已知实现类:
AbstractFileSaver
,AbstractStringDistanceFunction
,AbstractTimeSeries
,AdaBoostM1
,Add
,AddClassification
,AddCluster
,AddExpression
,AddID
,AdditiveRegression
,AddNoise
,AddValues
,ADTree
,Agrawal
,AllJavadoc
,AlphabeticTokenizer
,AODE
,AODEsr
,Apriori
,ArffSaver
,AttributeSelectedClassifier
,AttributeSelection
,AveragingResultProducer
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,BallTreeConstructor
,BayesianLogisticRegression
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,BestFirst
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,BIRCHCluster
,BMAEstimator
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,BVDecompose
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,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
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,ClassifierSubsetEval
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,CoverTree
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,CSVLoader
,CSVResultListener
,CSVSaver
,CVParameterSelection
,Dagging
,DatabaseLoader
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,DataGenerator
,DataNearBalancedND
,DBSCAN
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,Experiment
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,FilteredSubsetEval
,FindWithCapabilities
,FirstOrder
,FPGrowth
,FromFile
,FT
,FTInnerNode
,FTLeavesNode
,FTNode
,FTtree
,GainRatioAttributeEval
,GaussianProcesses
,GeneralizedSequentialPatterns
,GeneralRegression
,GeneticSearch
,GeneticSearch
,GeneticSearch
,GlobalInfoJavadoc
,GlobalScoreSearchAlgorithm
,Grading
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,HierarchicalClusterer
,HillClimber
,HillClimber
,HNB
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,IB1
,IBk
,ICSSearchAlgorithm
,Id3
,InfoGainAttributeEval
,InstanceQuery
,InstancesResultListener
,InterquartileRange
,IsotonicRegression
,IteratedSingleClassifierEnhancer
,J48
,J48graft
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,JRip
,K2
,K2
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,KDTreeNodeSplitter
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,KernelEstimator
,KernelFilter
,KMeansInpiredMethod
,KStar
,LADTree
,LAGDHillClimber
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,LBR
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,LeastMedSq
,LED24
,LibLINEAR
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,LinearNNSearch
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,ListOptions
,LMT
,LMTNode
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,LogisticBase
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,MahalanobisEstimator
,Main
,MakeDensityBasedClusterer
,MakeIndicator
,ManhattanDistance
,MathExpression
,MDD
,MedianDistanceFromArbitraryPoint
,MedianOfWidestDimension
,MedianOfWidestDimension
,MergeTwoValues
,MetaCost
,MexicanHat
,MIBoost
,MIDD
,MiddleOutConstructor
,MidPointOfWidestDimension
,MIEMDD
,MILR
,MINND
,MIOptimalBall
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,MultiBoostAB
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,NaiveBayes
,NaiveBayesMultinomial
,NaiveBayesMultinomialUpdateable
,NaiveBayesSimple
,NaiveBayesUpdateable
,NBTree
,ND
,NearestNeighbourSearch
,NeuralNetwork
,NGramTokenizer
,NNge
,NominalToBinary
,NominalToBinary
,NominalToString
,NormalEstimator
,NormalizableDistance
,Normalize
,Normalize
,NormalizedPolyKernel
,NumericCleaner
,NumericToBinary
,NumericToNominal
,NumericTransform
,OneR
,OneRAttributeEval
,OPTICS
,OptionHandlerJavadoc
,OrdinalClassClassifier
,PaceRegression
,PairedCorrectedTTester
,PairedTTester
,PART
,PartitionedMultiFilter
,PKIDiscretize
,PLSClassifier
,PLSFilter
,PMMLClassifier
,PointsClosestToFurthestChildren
,PoissonEstimator
,PolyKernel
,PotentialClassIgnorer
,PrecomputedKernelMatrixKernel
,PreConstructedLinearModel
,PredictiveApriori
,PrincipalComponents
,PrincipalComponents
,Prism
,PropositionalToMultiInstance
,Puk
,RacedIncrementalLogitBoost
,RaceSearch
,RandomCommittee
,RandomForest
,RandomizableClassifier
,RandomizableClusterer
,RandomizableDensityBasedClusterer
,RandomizableIteratedSingleClassifierEnhancer
,RandomizableMultipleClassifiersCombiner
,RandomizableSingleClassifierEnhancer
,RandomizableSingleClustererEnhancer
,Randomize
,RandomProjection
,RandomRBF
,RandomSearch
,RandomSplitResultProducer
,RandomSubset
,RandomSubSpace
,RandomTree
,Ranker
,RankSearch
,RBFKernel
,RBFNetwork
,RDG1
,RegOptimizer
,Regression
,RegressionByDiscretization
,RegressionGenerator
,RegressionSplitEvaluator
,RegSMO
,RegSMOImproved
,RELAGGS
,ReliefFAttributeEval
,RemoteExperiment
,Remove
,RemoveFolds
,RemoveFrequentValues
,RemoveMisclassified
,RemovePercentage
,RemoveRange
,RemoveType
,RemoveUseless
,RemoveWithValues
,Reorder
,RepeatedHillClimber
,RepeatedHillClimber
,ReplaceMissingValues
,REPTree
,Resample
,Resample
,ReservoirSample
,Ridor
,RotationForest
,RuleNode
,ScatterSearchV1
,SearchAlgorithm
,SerializedClassifier
,SerializedInstancesSaver
,sIB
,SimpleBatchFilter
,SimpleCart
,SimpleEstimator
,SimpleFilter
,SimpleKMeans
,SimpleLinearRegression
,SimpleLogistic
,SimpleMI
,SimpleStreamFilter
,SimulatedAnnealing
,SimulatedAnnealing
,SingleAssociatorEnhancer
,SingleClassifierEnhancer
,SingleClustererEnhancer
,SlidingMidPointOfWidestSide
,SMO
,SMOreg
,SMOTE
,SnowballStemmer
,SPegasos
,SpreadSubsample
,Stacking
,StackingC
,Standardize
,StratifiedRemoveFolds
,StringKernel
,StringToNominal
,StringToWordVector
,SubsetByExpression
,SubsetSizeForwardSelection
,SubspaceCluster
,SubspaceClusterDefinition
,SVMAttributeEval
,SVMLightSaver
,SwapValues
,SymmetricalUncertAttributeEval
,TabuSearch
,TabuSearch
,TAN
,TAN
,TechnicalInformationHandlerJavadoc
,Tertius
,TestInstances
,TextDirectoryLoader
,ThresholdSelector
,TimeSeriesDelta
,TimeSeriesTranslate
,Tokenizer
,TopDownConstructor
,UserClassifier
,VFI
,Vote
,VotedPerceptron
,WAODE
,Wavelet
,Winnow
,WordTokenizer
,WrapperSubsetEval
,XMeans
,XRFFSaver
,ZeroR
public interface OptionHandler
Interface to something that understands options.
- 版本:
- $Revision: 1.8 $
- 作者:
- Eibe Frank (eibe@cs.waikato.ac.nz), Len Trigg (trigg@cs.waikato.ac.nz)
-
方法概要
修饰符和类型方法说明String[]
Gets the current option settings for the OptionHandler.Returns an enumeration of all the available options..void
setOptions
(String[] options) Sets the OptionHandler's options using the given list.
-
方法详细资料
-
listOptions
Enumeration listOptions()Returns an enumeration of all the available options..- 返回:
- an enumeration of all available options.
-
setOptions
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).- 参数:
options
- the list of options as an array of strings- 抛出:
Exception
- if an option is not supported
-
getOptions
String[] getOptions()Gets the current option settings for the OptionHandler.- 返回:
- the list of current option settings as an array of strings
-