Uses of Class
moa.classifiers.core.AttributeSplitSuggestion

Packages that use AttributeSplitSuggestion

Package	Description
moa.classifiers.core
moa.classifiers.core.attributeclassobservers
moa.classifiers.rules.core
moa.classifiers.trees

Uses of AttributeSplitSuggestion in moa.classifiers.core

Methods in moa.classifiers.core with parameters of type AttributeSplitSuggestion

Modifier and Type	Method and Description
int	AttributeSplitSuggestion.compareTo(AttributeSplitSuggestion comp)

Uses of AttributeSplitSuggestion in moa.classifiers.core.attributeclassobservers

Methods in moa.classifiers.core.attributeclassobservers that return AttributeSplitSuggestion

Modifier and Type	Method and Description
AttributeSplitSuggestion	GreenwaldKhannaNumericAttributeClassObserver.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion	NominalAttributeClassObserver.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion	BinaryTreeNumericAttributeClassObserver.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion	NullAttributeClassObserver.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion	BinaryTreeNumericAttributeClassObserverRegression.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion	GaussianNumericAttributeClassObserver.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion	VFMLNumericAttributeClassObserver.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion	FIMTDDNumericAttributeClassObserver.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly)
AttributeSplitSuggestion	AttributeClassObserver.getBestEvaluatedSplitSuggestion(SplitCriterion criterion, double[] preSplitDist, int attIndex, boolean binaryOnly) Gets the best split suggestion given a criterion and a class distribution
protected 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.

Methods in moa.classifiers.core.attributeclassobservers with parameters of type AttributeSplitSuggestion

Modifier and Type	Method and Description
protected 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 AttributeSplitSuggestion in moa.classifiers.rules.core

Fields in moa.classifiers.rules.core declared as AttributeSplitSuggestion

Modifier and Type	Field and Description
protected AttributeSplitSuggestion	RuleActiveLearningNode.bestSuggestion

Methods in moa.classifiers.rules.core that return AttributeSplitSuggestion

Modifier and Type	Method and Description
AttributeSplitSuggestion[]	RuleActiveRegressionNode.getBestSplitSuggestions(SplitCriterion criterion)
AttributeSplitSuggestion	RuleActiveLearningNode.getBestSuggestion()

Methods in moa.classifiers.rules.core with parameters of type AttributeSplitSuggestion

Modifier and Type	Method and Description
void	RuleActiveLearningNode.setBestSuggestion(AttributeSplitSuggestion bestSuggestion)

Uses of AttributeSplitSuggestion in moa.classifiers.trees

Fields in moa.classifiers.trees declared as AttributeSplitSuggestion

Modifier and Type	Field and Description
protected AttributeSplitSuggestion	DecisionStump.bestSplit

Methods in moa.classifiers.trees that return AttributeSplitSuggestion

Modifier and Type	Method and Description
protected AttributeSplitSuggestion	DecisionStump.findBestSplit(SplitCriterion criterion)
AttributeSplitSuggestion[]	FIMTDD.LeafNode.getBestSplitSuggestions(SplitCriterion criterion, FIMTDD tree) Return the best split suggestions for this node using the given split criteria
AttributeSplitSuggestion[]	HoeffdingOptionTree.ActiveLearningNode.getBestSplitSuggestions(SplitCriterion criterion, HoeffdingOptionTree ht)
AttributeSplitSuggestion[]	HoeffdingTree.ActiveLearningNode.getBestSplitSuggestions(SplitCriterion criterion, HoeffdingTree ht)
AttributeSplitSuggestion[]	ORTO.ActiveLearningNode.getBestSplitSuggestions(SplitCriterion criterion, ORTO tree) Return the best split suggestions for this node using the given split criteria