public final class InSampleAnomalyDetection extends Object
|Modifier and Type||Method and Description|
Build the in-sample anomaly detector, which can be used to remove anomalous data from a training data set.
Determines whether a record is anomalous.
public static InSampleAnomalyDetection learn(Network network, EvidenceReaderCommandFactory evidenceReaderCommandFactory, InSampleAnomalyDetectionActions actions, InSampleAnomalyDetectionOptions options)
evidenceReaderCommandFactory- An instance which can create evidence reader commands which may be partitioned.
actions- User supplied functions required during the calculation.
network- The network structure to use to for the anomaly detection model. This can be a simple mixture model (cluster model) of a more complicated model.
options- Options affecting how the detector is learned.
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