DetectAnomaly()

Detects anomalies in numeric expression using specified parameters. The result value is set by the anomalyDetection argument:

• "Anomaly" (0 or 1 - indicates anomaly alert for a given data point),
• "AnomalyScore", "Mag", "ExpectedValue", "BoundaryUnit", "UpperBoundary" or "LowerBoundary".
• Detect mode: "AnomalyOnly", "AnomalyAndMargin" or "AnomalyAndExpectedValue".

Syntax

DetectAnomaly(numericExpression, threshold, batchSize, sensitivity, 
              string detectMode, string anomalyDetection, date/time forecastStartTime)

Example

DetectAnomaly("oil production" in "m3", 0.5, 1000, 0, "AnomalyOnly", "Anomaly", #01/01/2021#)

DetectAnomaly("oil production" in "m3", 0.3, 100, 99, "AnomalyAndMargin", 
               "AnomalyScore", #02/02/2022#)

DetectAnomaly("oil production" in "m3", 0.2, 500, 100, "AnomalyAndExpectedValue", 
               "Mag", #03/03/2023#)