Uses of Interface
moa.classifiers.core.splitcriteria.SplitCriterion
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Uses of SplitCriterion in moa.classifiers.core.attributeclassobservers
Methods in moa.classifiers.core.attributeclassobservers with parameters of type SplitCriterion Modifier and Type Method Description AttributeSplitSuggestion
AttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
Gets the best split suggestion given a criterion and a class distributionAttributeSplitSuggestion
BinaryTreeNumericAttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion
BinaryTreeNumericAttributeClassObserverRegression. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion
FIMTDDNumericAttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion
GaussianNumericAttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion
GreenwaldKhannaNumericAttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion
NominalAttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion
NullAttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion
VFMLNumericAttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
void
FIMTDDNumericAttributeClassObserver. removeBadSplits(SplitCriterion criterion, double lastCheckRatio, double lastCheckSDR, double lastCheckE)
A method to remove all nodes in the E-BST in which it and all it's children represent 'bad' split pointsprotected AttributeSplitSuggestion
BinaryTreeNumericAttributeClassObserver. searchForBestSplitOption(BinaryTreeNumericAttributeClassObserver.Node currentNode, AttributeSplitSuggestion currentBestOption, double[] actualParentLeft, double[] parentLeft, double[] parentRight, boolean leftChild, SplitCriterion criterion, double[] preSplitDist, int attIndex)
protected AttributeSplitSuggestion
BinaryTreeNumericAttributeClassObserverRegression. searchForBestSplitOption(BinaryTreeNumericAttributeClassObserverRegression.Node currentNode, AttributeSplitSuggestion currentBestOption, double[] actualParentLeft, double[] parentLeft, double[] parentRight, boolean leftChild, SplitCriterion criterion, double[] preSplitDist, int attIndex)
protected AttributeSplitSuggestion
FIMTDDNumericAttributeClassObserver. searchForBestSplitOption(FIMTDDNumericAttributeClassObserver.Node currentNode, AttributeSplitSuggestion currentBestOption, SplitCriterion criterion, int attIndex)
Implementation of the FindBestSplit algorithm from E.Ikonomovska et al. -
Uses of SplitCriterion in moa.classifiers.core.splitcriteria
Classes in moa.classifiers.core.splitcriteria that implement SplitCriterion Modifier and Type Class Description class
GiniSplitCriterion
Class for computing splitting criteria using Gini with respect to distributions of class values.class
InfoGainSplitCriterion
Class for computing splitting criteria using information gain with respect to distributions of class values.class
InfoGainSplitCriterionMultilabel
Class for computing splitting criteria using information gain with respect to distributions of class values for Multilabel data.class
SDRSplitCriterion
class
VarianceReductionSplitCriterion
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Uses of SplitCriterion in moa.classifiers.rules.core
Methods in moa.classifiers.rules.core with parameters of type SplitCriterion Modifier and Type Method Description AttributeSplitSuggestion[]
RuleActiveRegressionNode. getBestSplitSuggestions(SplitCriterion criterion)
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Uses of SplitCriterion in moa.classifiers.rules.core.splitcriteria
Subinterfaces of SplitCriterion in moa.classifiers.rules.core.splitcriteria Modifier and Type Interface Description interface
AMRulesSplitCriterion
Classes in moa.classifiers.rules.core.splitcriteria that implement SplitCriterion Modifier and Type Class Description class
SDRSplitCriterionAMRules
class
SDRSplitCriterionAMRulesNode
class
VarianceRatioSplitCriterion
class
VRSplitCriterion
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Uses of SplitCriterion in moa.classifiers.trees
Methods in moa.classifiers.trees with parameters of type SplitCriterion Modifier and Type Method Description double
HoeffdingOptionTree.SplitNode. computeMeritOfExistingSplit(SplitCriterion splitCriterion, double[] preDist)
protected AttributeSplitSuggestion
DecisionStump. findBestSplit(SplitCriterion criterion)
AttributeSplitSuggestion[]
ARFFIMTDD.LeafNode. getBestSplitSuggestions(SplitCriterion criterion)
Return the best split suggestions for this node using the given split criteriaAttributeSplitSuggestion[]
EFDT.ActiveLearningNode. getBestSplitSuggestions(SplitCriterion criterion, EFDT ht)
AttributeSplitSuggestion[]
EFDT.EFDTSplitNode. getBestSplitSuggestions(SplitCriterion criterion, EFDT ht)
AttributeSplitSuggestion[]
FIMTDD.LeafNode. getBestSplitSuggestions(SplitCriterion criterion)
Return the best split suggestions for this node using the given split criteriaAttributeSplitSuggestion[]
HoeffdingOptionTree.ActiveLearningNode. getBestSplitSuggestions(SplitCriterion criterion, HoeffdingOptionTree ht)
AttributeSplitSuggestion[]
HoeffdingTree.ActiveLearningNode. getBestSplitSuggestions(SplitCriterion criterion, HoeffdingTree ht)
AttributeSplitSuggestion[]
SelfOptimisingBaseTree.LeafNode. getBestSplitSuggestions(SplitCriterion criterion)
Return the best split suggestions for this node using the given split criteria -
Uses of SplitCriterion in moa.classifiers.trees.iadem
Methods in moa.classifiers.trees.iadem with parameters of type SplitCriterion Modifier and Type Method Description AttributeSplitSuggestion
IademVFMLNumericAttributeClassObserver. getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
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