Uses of Class
moa.classifiers.trees.HoeffdingTree.Node

Packages that use HoeffdingTree.Node

Package	Description
moa.classifiers.multilabel
moa.classifiers.rules.core
moa.classifiers.rules.nodes
moa.classifiers.trees

Uses of HoeffdingTree.Node in moa.classifiers.multilabel

Subclasses of HoeffdingTree.Node in moa.classifiers.multilabel

Modifier and Type	Class and Description
class	HoeffdingTreeClassifLeaves.LearningNodeClassifier
static class	MultilabelHoeffdingTree.MultilabelInactiveLearningNode
class	MultilabelHoeffdingTree.MultilabelLearningNodeClassifier

Uses of HoeffdingTree.Node in moa.classifiers.rules.core

Subclasses of HoeffdingTree.Node in moa.classifiers.rules.core

Modifier and Type	Class and Description
class	RuleActiveLearningNode A modified ActiveLearningNode that uses a Perceptron as the leaf node model, and ensures that the class values sent to the attribute observers are not truncated to ints if regression is being performed
class	RuleActiveRegressionNode A modified ActiveLearningNode that uses a Perceptron as the leaf node model, and ensures that the class values sent to the attribute observers are not truncated to ints if regression is being performed

Uses of HoeffdingTree.Node in moa.classifiers.rules.nodes

Subclasses of HoeffdingTree.Node in moa.classifiers.rules.nodes

Modifier and Type	Class and Description
class	RuleSplitNode A modified SplitNode method implementing the extra information

Uses of HoeffdingTree.Node in moa.classifiers.trees

Subclasses of HoeffdingTree.Node in moa.classifiers.trees

Modifier and Type	Class and Description
static class	HoeffdingAdaptiveTree.AdaLearningNode
static class	HoeffdingAdaptiveTree.AdaSplitNode
static class	HoeffdingTree.ActiveLearningNode
static class	HoeffdingTree.InactiveLearningNode
static class	HoeffdingTree.LearningNode
static class	HoeffdingTree.LearningNodeNB
static class	HoeffdingTree.LearningNodeNBAdaptive
static class	HoeffdingTree.SplitNode
static class	LimAttHoeffdingTree.LearningNodeNB
static class	LimAttHoeffdingTree.LearningNodeNBAdaptive
static class	LimAttHoeffdingTree.LimAttLearningNode
static class	RandomHoeffdingTree.LearningNodeNB
static class	RandomHoeffdingTree.LearningNodeNBAdaptive
static class	RandomHoeffdingTree.RandomLearningNode

Fields in moa.classifiers.trees declared as HoeffdingTree.Node

Modifier and Type	Field and Description
protected HoeffdingTree.Node	HoeffdingAdaptiveTree.AdaSplitNode.alternateTree
HoeffdingTree.Node	HoeffdingTree.FoundNode.node
protected HoeffdingTree.Node	HoeffdingTree.treeRoot

Fields in moa.classifiers.trees with type parameters of type HoeffdingTree.Node

Modifier and Type	Field and Description
protected AutoExpandVector<HoeffdingTree.Node>	HoeffdingTree.SplitNode.children

Methods in moa.classifiers.trees that return HoeffdingTree.Node

Modifier and Type	Method and Description
HoeffdingTree.Node	HoeffdingTree.SplitNode.getChild(int index)

Methods in moa.classifiers.trees with parameters of type HoeffdingTree.Node

Modifier and Type	Method and Description
void	ASHoeffdingTree.deleteNode(HoeffdingTree.Node node, int childIndex)
protected void	HoeffdingTree.findLearningNodes(HoeffdingTree.Node node, HoeffdingTree.SplitNode parent, int parentBranch, List<HoeffdingTree.FoundNode> found)
void	ASHoeffdingTree.resizeTree(HoeffdingTree.Node node, int childIndex)
void	HoeffdingTree.SplitNode.setChild(int index, HoeffdingTree.Node child)

Constructors in moa.classifiers.trees with parameters of type HoeffdingTree.Node

Constructor and Description
HoeffdingTree.FoundNode(HoeffdingTree.Node node, HoeffdingTree.SplitNode parent, int parentBranch)