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

Packages that use HoeffdingTree.LearningNode

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

Uses of HoeffdingTree.LearningNode in moa.classifiers.multilabel

Subclasses of HoeffdingTree.LearningNode in moa.classifiers.multilabel

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

Methods in moa.classifiers.multilabel that return HoeffdingTree.LearningNode

Modifier and Type	Method and Description
protected HoeffdingTree.LearningNode	MultilabelHoeffdingTree.newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode	HoeffdingTreeClassifLeaves.newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode	MultilabelHoeffdingTree.newLearningNode(double[] initialClassObservations, Classifier cl)
protected HoeffdingTree.LearningNode	HoeffdingTreeClassifLeaves.newLearningNode(double[] initialClassObservations, Classifier cl)

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

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

Subclasses of HoeffdingTree.LearningNode in moa.classifiers.trees

Modifier and Type	Class and Description
static class	HoeffdingAdaptiveTree.AdaLearningNode
static class	HoeffdingTree.ActiveLearningNode
static class	HoeffdingTree.InactiveLearningNode
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 that return HoeffdingTree.LearningNode

Modifier and Type	Method and Description
protected HoeffdingTree.LearningNode	HoeffdingTree.newLearningNode()
protected HoeffdingTree.LearningNode	RandomHoeffdingTree.newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode	HoeffdingTree.newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode	HoeffdingAdaptiveTree.newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode	LimAttHoeffdingTree.newLearningNode(double[] initialClassObservations)