AnomalyDetector
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. |