Package | Description |
---|---|
moa.classifiers.rules.core.anomalydetection | |
moa.classifiers.rules.multilabel | |
moa.classifiers.rules.multilabel.core |
Modifier and Type | Class and Description |
---|---|
class |
AbstractAnomalyDetector |
class |
AnomalinessRatioScore
Score for anomaly detection
percentageAnomalousAttributesOption - Percentage of anomalous attributes.
|
class |
NoAnomalyDetection
No anomaly detection is performed
|
class |
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 selection
|
Modifier and Type | Method and Description |
---|---|
AnomalyDetector |
AbstractAnomalyDetector.copy() |
AnomalyDetector |
AnomalyDetector.copy() |
Modifier and Type | Field and Description |
---|---|
AnomalyDetector |
AMRulesMultiLabelLearnerSemiSuper.anomalyDetector2 |
Modifier and Type | Field and Description |
---|---|
protected AnomalyDetector |
LearningLiteral.anomalyDetector |
Modifier and Type | Method and Description |
---|---|
void |
MultiLabelRule.setAnomalyDetector(AnomalyDetector anomalyDetector) |
void |
LearningLiteral.setAnomalyDetector(AnomalyDetector anomalyDetector) |
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