Uses of Interface
moa.classifiers.rules.core.anomalydetection.AnomalyDetector
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Packages that use AnomalyDetector Package Description moa.classifiers.rules.core.anomalydetection moa.classifiers.rules.multilabel moa.classifiers.rules.multilabel.core -
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Uses of AnomalyDetector in moa.classifiers.rules.core.anomalydetection
Classes in moa.classifiers.rules.core.anomalydetection that implement AnomalyDetector Modifier and Type Class Description class
AbstractAnomalyDetector
class
AnomalinessRatioScore
Score for anomaly detection percentageAnomalousAttributesOption - Percentage of anomalous attributes.class
NoAnomalyDetection
No anomaly detection is performedclass
OddsRatioScore
Score for anomaly detection: OddsRatio thresholdOption - The threshold value for detecting anomalies minNumberInstancesOption - The minimum number of instances required to perform anomaly detection probabilityFunctionOption - Probability function selectionMethods in moa.classifiers.rules.core.anomalydetection that return AnomalyDetector Modifier and Type Method Description AnomalyDetector
AbstractAnomalyDetector. copy()
AnomalyDetector
AnomalyDetector. copy()
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Uses of AnomalyDetector in moa.classifiers.rules.multilabel
Fields in moa.classifiers.rules.multilabel declared as AnomalyDetector Modifier and Type Field Description AnomalyDetector
AMRulesMultiLabelLearnerSemiSuper. anomalyDetector2
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Uses of AnomalyDetector in moa.classifiers.rules.multilabel.core
Fields in moa.classifiers.rules.multilabel.core declared as AnomalyDetector Modifier and Type Field Description protected AnomalyDetector
LearningLiteral. anomalyDetector
Methods in moa.classifiers.rules.multilabel.core with parameters of type AnomalyDetector Modifier and Type Method Description void
LearningLiteral. setAnomalyDetector(AnomalyDetector anomalyDetector)
void
MultiLabelRule. setAnomalyDetector(AnomalyDetector anomalyDetector)
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