Uses of Class
moa.classifiers.trees.HoeffdingTree.LearningNode
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Packages that use HoeffdingTree.LearningNode Package Description moa.classifiers.multilabel moa.classifiers.rules.core moa.classifiers.trees -
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Uses of HoeffdingTree.LearningNode in moa.classifiers.multilabel
Subclasses of HoeffdingTree.LearningNode in moa.classifiers.multilabel Modifier and Type Class Description static class
MultilabelHoeffdingTree.MultilabelInactiveLearningNode
class
MultilabelHoeffdingTree.MultilabelLearningNodeClassifier
Methods in moa.classifiers.multilabel that return HoeffdingTree.LearningNode Modifier and Type Method Description protected HoeffdingTree.LearningNode
MultilabelHoeffdingTree. newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode
MultilabelHoeffdingTree. newLearningNode(double[] initialClassObservations, Classifier cl)
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Uses of HoeffdingTree.LearningNode in moa.classifiers.rules.core
Subclasses of HoeffdingTree.LearningNode in moa.classifiers.rules.core Modifier and Type Class 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 performedclass
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 Description static class
ARFHoeffdingTree.LearningNodeNB
static class
ARFHoeffdingTree.LearningNodeNBAdaptive
static class
ARFHoeffdingTree.RandomLearningNode
static class
HoeffdingAdaptiveTree.AdaLearningNode
class
HoeffdingAdaptiveTreeClassifLeaves.LearningNodeHATClassifier
static class
HoeffdingTree.ActiveLearningNode
static class
HoeffdingTree.InactiveLearningNode
static class
HoeffdingTree.LearningNodeNB
static class
HoeffdingTree.LearningNodeNBAdaptive
class
HoeffdingTreeClassifLeaves.LearningNodeClassifier
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 Description protected HoeffdingTree.LearningNode
ARFHoeffdingTree. newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode
HoeffdingAdaptiveTree. newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode
HoeffdingAdaptiveTreeClassifLeaves. newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode
HoeffdingAdaptiveTreeClassifLeaves. newLearningNode(double[] initialClassObservations, Classifier cl)
protected HoeffdingTree.LearningNode
HoeffdingTree. newLearningNode()
protected HoeffdingTree.LearningNode
HoeffdingTree. newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode
HoeffdingTreeClassifLeaves. newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode
HoeffdingTreeClassifLeaves. newLearningNode(double[] initialClassObservations, Classifier cl)
protected HoeffdingTree.LearningNode
LimAttHoeffdingTree. newLearningNode(double[] initialClassObservations)
protected HoeffdingTree.LearningNode
RandomHoeffdingTree. newLearningNode(double[] initialClassObservations)
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