Uses of Class
moa.classifiers.trees.HoeffdingTree
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Packages that use HoeffdingTree Package Description moa.classifiers.multilabel moa.classifiers.rules.core moa.classifiers.trees moa.learners.featureanalysis -
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Uses of HoeffdingTree in moa.classifiers.multilabel
Subclasses of HoeffdingTree in moa.classifiers.multilabel Modifier and Type Class Description class
MultilabelHoeffdingTree
Hoeffding Tree for classifying multi-label data.Methods in moa.classifiers.multilabel with parameters of type HoeffdingTree Modifier and Type Method Description void
MultilabelHoeffdingTree.MultilabelLearningNodeClassifier. describeSubtree(HoeffdingTree ht, StringBuilder out, int indent)
double[]
MultilabelHoeffdingTree.MultilabelLearningNodeClassifier. getClassVotes(Instance inst, HoeffdingTree ht)
Prediction
MultilabelHoeffdingTree.MultilabelLearningNodeClassifier. getPredictionForInstance(Instance inst, HoeffdingTree ht)
void
MultilabelHoeffdingTree.MultilabelInactiveLearningNode. learnFromInstance(Instance inst, HoeffdingTree ht)
void
MultilabelHoeffdingTree.MultilabelLearningNodeClassifier. learnFromInstance(Instance inst, HoeffdingTree ht)
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Uses of HoeffdingTree in moa.classifiers.rules.core
Methods in moa.classifiers.rules.core with parameters of type HoeffdingTree Modifier and Type Method Description void
RuleActiveLearningNode. learnFromInstance(Instance inst, HoeffdingTree ht)
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Uses of HoeffdingTree in moa.classifiers.trees
Subclasses of HoeffdingTree in moa.classifiers.trees Modifier and Type Class Description class
ARFHoeffdingTree
Adaptive Random Forest Hoeffding Tree.class
ASHoeffdingTree
Adaptive Size Hoeffding Tree used in Bagging using trees of different size.class
HoeffdingAdaptiveTree
Hoeffding Adaptive Tree for evolving data streams.class
HoeffdingAdaptiveTreeClassifLeaves
Hoeffding Adaptive Tree for evolving data streams that has a classifier at the leaves.class
HoeffdingTreeClassifLeaves
Hoeffding Tree that have a classifier at the leaves.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 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[]
ARFHoeffdingTree.LearningNodeNB. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
ARFHoeffdingTree.LearningNodeNBAdaptive. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
HoeffdingAdaptiveTree.AdaLearningNode. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
HoeffdingAdaptiveTreeClassifLeaves.LearningNodeHATClassifier. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
HoeffdingTree.LearningNodeNB. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
HoeffdingTree.LearningNodeNBAdaptive. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
HoeffdingTree.Node. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
HoeffdingTreeClassifLeaves.LearningNodeClassifier. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
LimAttHoeffdingTree.LearningNodeNB. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
LimAttHoeffdingTree.LearningNodeNBAdaptive. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
RandomHoeffdingTree.LearningNodeNB. getClassVotes(Instance inst, HoeffdingTree ht)
double[]
RandomHoeffdingTree.LearningNodeNBAdaptive. getClassVotes(Instance inst, HoeffdingTree ht)
void
ARFHoeffdingTree.LearningNodeNBAdaptive. learnFromInstance(Instance inst, HoeffdingTree ht)
void
ARFHoeffdingTree.RandomLearningNode. learnFromInstance(Instance inst, HoeffdingTree ht)
void
HoeffdingAdaptiveTreeClassifLeaves.LearningNodeHATClassifier. learnFromInstance(Instance inst, HoeffdingTree ht)
void
HoeffdingTree.ActiveLearningNode. learnFromInstance(Instance inst, HoeffdingTree ht)
void
HoeffdingTree.InactiveLearningNode. learnFromInstance(Instance inst, HoeffdingTree ht)
abstract void
HoeffdingTree.LearningNode. learnFromInstance(Instance inst, HoeffdingTree ht)
void
HoeffdingTree.LearningNodeNBAdaptive. learnFromInstance(Instance inst, HoeffdingTree ht)
void
HoeffdingTreeClassifLeaves.LearningNodeClassifier. learnFromInstance(Instance inst, HoeffdingTree ht)
void
LimAttHoeffdingTree.LearningNodeNBAdaptive. learnFromInstance(Instance inst, HoeffdingTree ht)
void
LimAttHoeffdingTree.LimAttLearningNode. learnFromInstance(Instance inst, HoeffdingTree ht)
void
RandomHoeffdingTree.LearningNodeNBAdaptive. learnFromInstance(Instance inst, HoeffdingTree ht)
void
RandomHoeffdingTree.RandomLearningNode. learnFromInstance(Instance inst, HoeffdingTree ht)
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Uses of HoeffdingTree in moa.learners.featureanalysis
Fields in moa.learners.featureanalysis declared as HoeffdingTree Modifier and Type Field Description protected HoeffdingTree
FeatureImportanceHoeffdingTree. treeLearner
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