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weka.core
Interface WeightedInstancesHandler
All Known Implementing Classes:
AdaBoostM1
,
AdditiveRegression
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ADTree
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AODE
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AODEsr
,
AttributeSelectedClassifier
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Bagging
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BayesNet
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BayesNetGenerator
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BIFReader
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ComplementNaiveBayes
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ConjunctiveRule
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DecisionStump
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DecisionTable
,
Discretize
,
Discretize
,
DMNBtext
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DTNB
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EditableBayesNet
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EM
,
FTInnerNode
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FTLeavesNode
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FTNode
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FTtree
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IBk
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IsotonicRegression
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J48
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J48graft
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JRip
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JRip.Antd
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JRip.NominalAntd
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JRip.NumericAntd
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JRip.RipperRule
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LinearRegression
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LMTNode
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Logistic
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LogisticBase
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LogitBoost
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LWL
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MakeDensityBasedClusterer
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MIOptimalBall
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MISMO
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MultiBoostAB
,
MultilayerPerceptron
,
NaiveBayes
,
NaiveBayesMultinomial
,
NaiveBayesMultinomialUpdateable
,
NaiveBayesUpdateable
,
NBTree
,
PaceRegression
,
PART
,
PKIDiscretize
,
RandomCommittee
,
RandomForest
,
RandomSubSpace
,
RandomTree
,
REPTree
,
Ridor
,
RotationForest
,
Rule
,
SimpleKMeans
,
SimpleLinearRegression
,
SimpleLogistic
,
SMO
,
SMOreg
,
VFI
,
ZeroR
public interface
WeightedInstancesHandler
Interface to something that makes use of the information provided by instance weights.
Version:
$Revision: 1.5 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)
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