Anomalies

ricardokrieg edited this page Dec 30, 2014 · 7 revisions
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The CLA can compute an anomaly score. This is essentially the inverse of predictions and represents how unexpected an input record was. Anomaly models are created by specifying the model type as NontemporalAnomaly or TemporalAnomaly.

TemporalAnomaly

See Anomaly-Detection-and-Anomaly-Scores for computation details.

NontemporalAnomaly

See Anomaly-Detection-and-Anomaly-Scores for computation details.

History

Initial experiments are described in the Anomaly-Detection-and-Anomaly-Scores.