Uses of Class
moa.classifiers.trees.HoeffdingTree

Packages that use HoeffdingTree

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

Uses of HoeffdingTree in moa.classifiers.multilabel

Subclasses of HoeffdingTree in moa.classifiers.multilabel

Modifier and Type	Class and Description
class	HoeffdingTreeClassifLeaves Hoeffding Tree that have a classifier at the leaves.
class	MultilabelHoeffdingTree Hoeffding Tree for classifying multi-label data.

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

Modifier and Type	Method and Description
double[]	MultilabelHoeffdingTree.MultilabelLearningNodeClassifier.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
double[]	HoeffdingTreeClassifLeaves.LearningNodeClassifier.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
void	MultilabelHoeffdingTree.MultilabelInactiveLearningNode.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)
void	MultilabelHoeffdingTree.MultilabelLearningNodeClassifier.learnFromInstance(weka.core.Instance mlinst, HoeffdingTree ht)
void	HoeffdingTreeClassifLeaves.LearningNodeClassifier.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)

Uses of HoeffdingTree in moa.classifiers.rules.core

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

Modifier and Type	Method and Description
void	RuleActiveLearningNode.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)

Uses of HoeffdingTree in moa.classifiers.trees

Subclasses of HoeffdingTree in moa.classifiers.trees

Modifier and Type	Class and Description
class	ASHoeffdingTree Adaptive Size Hoeffding Tree used in Bagging using trees of different size.
class	HoeffdingAdaptiveTree Hoeffding Adaptive Tree for evolving data streams.
class	LimAttHoeffdingTree Hoeffding decision trees with a restricted number of attributes for data streams.
class	RandomHoeffdingTree Random decision trees for data streams.

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

Modifier and Type	Method and Description
void	HoeffdingTree.Node.describeSubtree(HoeffdingTree ht, StringBuilder out, int indent)
void	HoeffdingTree.SplitNode.describeSubtree(HoeffdingTree ht, StringBuilder out, int indent)
AttributeSplitSuggestion[]	HoeffdingTree.ActiveLearningNode.getBestSplitSuggestions(SplitCriterion criterion, HoeffdingTree ht)
double[]	RandomHoeffdingTree.LearningNodeNB.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
double[]	RandomHoeffdingTree.LearningNodeNBAdaptive.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
double[]	HoeffdingTree.Node.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
double[]	HoeffdingTree.LearningNodeNB.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
double[]	HoeffdingTree.LearningNodeNBAdaptive.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
double[]	HoeffdingAdaptiveTree.AdaLearningNode.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
double[]	LimAttHoeffdingTree.LearningNodeNB.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
double[]	LimAttHoeffdingTree.LearningNodeNBAdaptive.getClassVotes(weka.core.Instance inst, HoeffdingTree ht)
void	RandomHoeffdingTree.RandomLearningNode.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)
void	RandomHoeffdingTree.LearningNodeNBAdaptive.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)
abstract void	HoeffdingTree.LearningNode.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)
void	HoeffdingTree.InactiveLearningNode.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)
void	HoeffdingTree.ActiveLearningNode.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)
void	HoeffdingTree.LearningNodeNBAdaptive.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)
void	LimAttHoeffdingTree.LimAttLearningNode.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)
void	LimAttHoeffdingTree.LearningNodeNBAdaptive.learnFromInstance(weka.core.Instance inst, HoeffdingTree ht)