Package | Description |
---|---|
moa.classifiers.bayes | |
moa.classifiers.core.attributeclassobservers | |
moa.classifiers.rules | |
moa.classifiers.rules.core | |
moa.classifiers.trees | |
moa.cluster | |
moa.streams.filters |
Modifier and Type | Field and Description |
---|---|
protected AutoExpandVector<AttributeClassObserver> |
NaiveBayes.attributeObservers |
Modifier and Type | Method and Description |
---|---|
static double[] |
NaiveBayes.doNaiveBayesPrediction(weka.core.Instance inst,
DoubleVector observedClassDistribution,
AutoExpandVector<AttributeClassObserver> attributeObservers) |
static double[] |
NaiveBayes.doNaiveBayesPredictionLog(weka.core.Instance inst,
DoubleVector observedClassDistribution,
AutoExpandVector<AttributeClassObserver> observers,
AutoExpandVector<AttributeClassObserver> observers2) |
static double[] |
NaiveBayes.doNaiveBayesPredictionLog(weka.core.Instance inst,
DoubleVector observedClassDistribution,
AutoExpandVector<AttributeClassObserver> observers,
AutoExpandVector<AttributeClassObserver> observers2) |
Modifier and Type | Field and Description |
---|---|
protected AutoExpandVector<GreenwaldKhannaQuantileSummary> |
GreenwaldKhannaNumericAttributeClassObserver.attValDistPerClass |
AutoExpandVector<DoubleVector> |
NominalAttributeClassObserver.attValDistPerClass |
protected AutoExpandVector<GaussianEstimator> |
GaussianNumericAttributeClassObserver.attValDistPerClass |
Modifier and Type | Field and Description |
---|---|
protected AutoExpandVector<AttributeClassObserver> |
RuleClassifier.attributeObservers |
protected AutoExpandVector<AttributeClassObserver> |
RuleClassifier.attributeObserversGauss |
protected AutoExpandVector<AttributeClassObserver> |
RuleClassification.observers |
protected AutoExpandVector<AttributeClassObserver> |
RuleClassification.observersGauss |
Modifier and Type | Method and Description |
---|---|
boolean |
RuleClassifier.checkBestAttrib(double n,
AutoExpandVector<AttributeClassObserver> observerss,
DoubleVector observedClassDistribution) |
void |
RuleClassifier.findBestValEntropyNominalAtt(AutoExpandVector<DoubleVector> attrib,
int attNumValues) |
void |
RuleClassifier.theBestAttributes(weka.core.Instance instance,
AutoExpandVector<AttributeClassObserver> observersParameter) |
Modifier and Type | Method and Description |
---|---|
AutoExpandVector<AttributeClassObserver> |
RuleActiveLearningNode.getAttributeObservers() |
Modifier and Type | Field and Description |
---|---|
protected AutoExpandVector<AttributeClassObserver> |
ORTO.ActiveLearningNode.attributeObservers |
protected AutoExpandVector<AttributeClassObserver> |
HoeffdingTree.ActiveLearningNode.attributeObservers |
protected AutoExpandVector<FIMTDDNumericAttributeClassObserver> |
FIMTDD.Node.attributeObservers |
protected AutoExpandVector<AttributeClassObserver> |
HoeffdingOptionTree.ActiveLearningNode.attributeObservers |
protected AutoExpandVector<AttributeClassObserver> |
DecisionStump.attributeObservers |
protected AutoExpandVector<ORTO.Node> |
ORTO.InnerNode.children |
protected AutoExpandVector<HoeffdingTree.Node> |
HoeffdingTree.SplitNode.children |
protected AutoExpandVector<FIMTDD.Node> |
FIMTDD.SplitNode.children |
protected AutoExpandVector<HoeffdingOptionTree.Node> |
HoeffdingOptionTree.SplitNode.children |
Modifier and Type | Method and Description |
---|---|
AutoExpandVector<Cluster> |
Clustering.getClustering() |
AutoExpandVector<Cluster> |
Clustering.getClusteringCopy() |
Constructor and Description |
---|
Clustering(AutoExpandVector<Cluster> clusters) |
Modifier and Type | Field and Description |
---|---|
protected AutoExpandVector<Object> |
AddNoiseFilter.attValObservers |
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