Package weka.core
Interface CapabilitiesHandler
- All Known Subinterfaces:
MultiInstanceCapabilitiesHandler
- All Known Implementing Classes:
AbstractAssociator
,AbstractClusterer
,AbstractDensityBasedClusterer
,AbstractFileSaver
,AbstractSaver
,AbstractTimeSeries
,AdaBoostM1
,Add
,AddClassification
,AddCluster
,AddExpression
,AddID
,AdditiveRegression
,AddNoise
,AddValues
,ADTree
,AllFilter
,AODE
,AODEsr
,Apriori
,ArffSaver
,ASEvaluation
,AttributeSelectedClassifier
,AttributeSelection
,AttributeSetEvaluator
,Bagging
,BayesianLogisticRegression
,BayesNet
,BayesNetGenerator
,BFTree
,BIFReader
,C45PruneableClassifierTree
,C45PruneableClassifierTreeG
,C45Saver
,CachedKernel
,Center
,CfsSubsetEval
,ChangeDateFormat
,ChiSquaredAttributeEval
,CitationKNN
,ClassAssigner
,ClassBalancedND
,ClassificationViaClustering
,ClassificationViaRegression
,Classifier
,ClassifierSubsetEval
,ClassifierTree
,ClassOrder
,CLOPE
,ClusterMembership
,Cobweb
,ComplementNaiveBayes
,ConjunctiveRule
,ConsistencySubsetEval
,Copy
,CostSensitiveASEvaluation
,CostSensitiveAttributeEval
,CostSensitiveClassifier
,CostSensitiveSubsetEval
,CSVSaver
,CVParameterSelection
,Dagging
,DatabaseSaver
,DataNearBalancedND
,DBSCAN
,DecisionStump
,DecisionTable
,Decorate
,DiscreteEstimator
,DiscreteEstimatorBayes
,DiscreteEstimatorFullBayes
,Discretize
,Discretize
,DMNBtext
,DTNB
,EditableBayesNet
,EM
,END
,Estimator
,FarthestFirst
,Filter
,FilteredAssociator
,FilteredAttributeEval
,FilteredClassifier
,FilteredClusterer
,FilteredSubsetEval
,FindWithCapabilities
,FirstOrder
,FPGrowth
,FT
,FTInnerNode
,FTLeavesNode
,FTNode
,FTtree
,GainRatioAttributeEval
,GaussianProcesses
,GeneralizedSequentialPatterns
,GeneralRegression
,Grading
,GridSearch
,HierarchicalClusterer
,HNB
,HoldOutSubsetEvaluator
,HyperPipes
,IB1
,IBk
,Id3
,InfoGainAttributeEval
,InterquartileRange
,IsotonicRegression
,IteratedSingleClassifierEnhancer
,J48
,J48graft
,JRip
,Kernel
,KernelEstimator
,KernelFilter
,KStar
,LADTree
,LatentSemanticAnalysis
,LBR
,LeastMedSq
,LibLINEAR
,LibSVM
,LibSVMSaver
,LinearRegression
,LMT
,LMTNode
,Logistic
,LogisticBase
,LogitBoost
,LWL
,M5Base
,M5P
,M5Rules
,MahalanobisEstimator
,MakeDecList
,MakeDensityBasedClusterer
,MakeIndicator
,MathExpression
,MDD
,MergeTwoValues
,MetaCost
,MIBoost
,MIDD
,MIEMDD
,MILR
,MINND
,MIOptimalBall
,MIPolyKernel
,MIRBFKernel
,MISMO
,MISVM
,MIWrapper
,MultiBoostAB
,MultiClassClassifier
,MultiFilter
,MultiInstanceToPropositional
,MultilayerPerceptron
,MultipleClassifiersCombiner
,MultiScheme
,NaiveBayes
,NaiveBayesMultinomial
,NaiveBayesMultinomialUpdateable
,NaiveBayesSimple
,NaiveBayesUpdateable
,NBTree
,NBTreeClassifierTree
,ND
,NeuralNetwork
,NNge
,NominalToBinary
,NominalToBinary
,NominalToString
,NonSparseToSparse
,NormalEstimator
,Normalize
,Normalize
,NormalizedPolyKernel
,NumericCleaner
,NumericToBinary
,NumericToNominal
,NumericTransform
,Obfuscate
,OneR
,OneRAttributeEval
,OPTICS
,OrdinalClassClassifier
,PaceRegression
,PART
,PartitionedMultiFilter
,PKIDiscretize
,PLSClassifier
,PLSFilter
,PMMLClassifier
,PoissonEstimator
,PolyKernel
,PotentialClassIgnorer
,PrecomputedKernelMatrixKernel
,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
,Regression
,RegressionByDiscretization
,RELAGGS
,ReliefFAttributeEval
,Remove
,RemoveFolds
,RemoveFrequentValues
,RemoveMisclassified
,RemovePercentage
,RemoveRange
,RemoveType
,RemoveUseless
,RemoveWithValues
,Reorder
,ReplaceMissingValues
,REPTree
,Resample
,Resample
,ReservoirSample
,Ridor
,RotationForest
,RuleNode
,SerializedClassifier
,SerializedInstancesSaver
,sIB
,SimpleBatchFilter
,SimpleCart
,SimpleFilter
,SimpleKMeans
,SimpleLinearRegression
,SimpleLogistic
,SimpleMI
,SimpleStreamFilter
,SingleAssociatorEnhancer
,SingleClassifierEnhancer
,SingleClustererEnhancer
,SMO
,SMOreg
,SMOTE
,SparseToNonSparse
,SPegasos
,SpreadSubsample
,Stacking
,StackingC
,Standardize
,StratifiedRemoveFolds
,StringKernel
,StringToNominal
,StringToWordVector
,SubsetByExpression
,SVMAttributeEval
,SVMLightSaver
,SwapValues
,SymmetricalUncertAttributeEval
,Tertius
,ThresholdSelector
,TimeSeriesDelta
,TimeSeriesTranslate
,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:
-
Method Summary
Modifier and TypeMethodDescriptionReturns the capabilities of this object.
-
Method Details
-
getCapabilities
Capabilities getCapabilities()Returns the capabilities of this object.- Returns:
- the capabilities of this object
- See Also:
-