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

Packages that use HoeffdingTree.ActiveLearningNode

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

Uses of HoeffdingTree.ActiveLearningNode in moa.classifiers.multilabel

Subclasses of HoeffdingTree.ActiveLearningNode in moa.classifiers.multilabel

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

Methods in moa.classifiers.multilabel with parameters of type HoeffdingTree.ActiveLearningNode

Modifier and Type	Method and Description
protected void	HoeffdingTreeClassifLeaves.attemptToSplit(HoeffdingTree.ActiveLearningNode node, HoeffdingTree.SplitNode parent, int parentIndex)
protected void	MultilabelHoeffdingTree.deactivateLearningNode(HoeffdingTree.ActiveLearningNode toDeactivate, HoeffdingTree.SplitNode parent, int parentBranch)

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

Subclasses of HoeffdingTree.ActiveLearningNode 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.ActiveLearningNode in moa.classifiers.trees

Subclasses of HoeffdingTree.ActiveLearningNode in moa.classifiers.trees

Modifier and Type	Class and Description
static class	HoeffdingAdaptiveTree.AdaLearningNode
static class	HoeffdingTree.LearningNodeNB
static class	HoeffdingTree.LearningNodeNBAdaptive
static class	LimAttHoeffdingTree.LearningNodeNB
static class	LimAttHoeffdingTree.LearningNodeNBAdaptive
static class	LimAttHoeffdingTree.LimAttLearningNode
static class	RandomHoeffdingTree.LearningNodeNB
static class	RandomHoeffdingTree.LearningNodeNBAdaptive
static class	RandomHoeffdingTree.RandomLearningNode

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

Modifier and Type	Method and Description
protected void	HoeffdingTree.attemptToSplit(HoeffdingTree.ActiveLearningNode node, HoeffdingTree.SplitNode parent, int parentIndex)
protected void	HoeffdingTree.deactivateLearningNode(HoeffdingTree.ActiveLearningNode toDeactivate, HoeffdingTree.SplitNode parent, int parentBranch)