JavaScript is disabled on your browser.
Skip navigation links
Overview
Package
Class
Tree
Deprecated
Index
Help
Prev Class
Next Class
Frames
No Frames
All Classes
Summary:
Nested |
Field |
Constr |
Method
Detail:
Field |
Constr |
Method
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 and 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
Skip navigation links
Overview
Package
Class
Tree
Deprecated
Index
Help
Prev Class
Next Class
Frames
No Frames
All Classes
Summary:
Nested |
Field |
Constr |
Method
Detail:
Field |
Constr |
Method