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UnivariateLastDetectionResult Class

Definition

Response of the last anomaly detection.

public class UnivariateLastDetectionResult
type UnivariateLastDetectionResult = class
Public Class UnivariateLastDetectionResult
Inheritance
UnivariateLastDetectionResult

Properties

ExpectedValue

Expected value of the latest point.

IsAnomaly

Anomaly status of the latest point. True means the latest point is an anomaly, either in the negative direction or in the positive direction.

IsNegativeAnomaly

Anomaly status of the latest point in a negative direction. True means the latest point is an anomaly and its real value is smaller than the expected one.

IsPositiveAnomaly

Anomaly status of the latest point in a positive direction. True means the latest point is an anomaly and its real value is larger than the expected one.

LowerMargin

Lower margin of the latest point. LowerMargin is used to calculate lowerBoundary, which is equal to expectedValue - (100 - marginScale)*lowerMargin.

Period

Frequency extracted from the series. Zero means no recurrent pattern has been found.

Severity

Severity score for the last input point. The larger the value is, the more severe the anomaly is. For normal points, the severity is always 0.

SuggestedWindow

Suggested input series points needed for detecting the latest point.

UpperMargin

Upper margin of the latest point. UpperMargin is used to calculate upperBoundary, which is equal to expectedValue + (100 - marginScale)*upperMargin. If the value of latest point is between upperBoundary and lowerBoundary, it should be treated as a normal value. Adjusting the marginScale value enables the anomaly status of the latest point to be changed.

Applies to