When a deviation from normal is worth telling somebody about. Three independent gates, and a bucket must fail all of them to be called anomalous. That conjunction is the whole point: any one of them alone produces an unusable stream of false positives on real data. The score gate measures how far outside the historical spread the value sits, but on a very stable series a trivial wobble also scores highly. The percent band measures how far off normal in proportional terms, which is the number an admin can actually reason about and filters the stable-series case. The minimum absolute change gate is the practical false-positive killer - without it a quiet account going from one order to three trips both gates above, every time.


Properties

PropertyReturnsDescription
directionAnomalyDirectionWhich side or sides of normal this detector cares about.
minAbsChangedoubleThe minimum absolute change gate.
percentHighDoubleThe high side of the percent-of-normal gate.
percentLowDoubleThe low side of the percent-of-normal gate.
scoredoubleThe modified z-score gate.

Methods

getScore()

Returns: double

The modified z-score gate.

getPercentLow()

Returns: Double

The low side of the percent-of-normal gate.

getPercentHigh()

Returns: Double

The high side of the percent-of-normal gate.

getMinAbsChange()

Returns: double

The minimum absolute change gate.

getDirection()

Returns: AnomalyDirection

Which side or sides of normal this detector cares about.

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