AnomalyDetector - StarTree Docs

AnomalyDetector operators take one or more inputs, and detect anomalies. There are many types of anomaly detectors. The type is given in the node parameters.

 {
  "name": "root",              # name of the operator
  "type": "AnomalyDetector",   # type of operator
  "params": {
    "type": "THRESHOLD",       # type of anomaly detector,
    # other parameters ...
    "component.timestamp": "ts",
    "component.metric": "metric",
    ...
  },
  "inputs" : [...],
  "outputs" : [...]
}

Shared parameters

Anomaly detectors share a set of parameters. Detector-type specific parameters are described in the sub-sections.

name	description	default value
`component.timestamp`	The name of the time index column.	`timestamp`
`component.metric`	The name of the metric column to analyse.	`metric`
`component.monitoringGranularity`	The granularity of the data used for detection. Mandatory. Used to compute the end time of an anomaly if it is the last data point of the input data.

Commonly-used parameters

These parameters are used by many detectors.

`component.pattern`

Detect as an anomaly if the metric drop, rise or both directions. UP, DOWN, UP_OR_DOWN.

name	description
`UP`	Detect an anomaly only if the current time series is above the baseline.
`DOWN`	Detect an anomaly only if the current time series is below the baseline.
`UP_OR_DOWN`	Detect an anomaly in both directions.

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