public final class InSampleAnomalyDetection extends Object
Modifier and Type | Method and Description |
---|---|
static InSampleAnomalyDetection |
learn(Network network,
EvidenceReaderCommandFactory evidenceReaderCommandFactory,
InSampleAnomalyDetectionActions actions,
InSampleAnomalyDetectionOptions options)
Build the in-sample anomaly detector, which can be used to remove anomalous data from a training data set.
|
InSampleAnomalyDetectionOutput |
test(Evidence evidence)
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.public InSampleAnomalyDetectionOutput test(Evidence evidence)
evidence
- Evidence to test.Copyright © 2021. All rights reserved.