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:
Capabilities
-
-
Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description 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
-
-