PERCENTAGE_CHANGE

Compares the current timeseries to a baseline. If the current value is not in [baseline - percentage * baseline, baseline + percentage * baseline], detects an anomaly.

Inputs

"targetProperty": "current": The data on which to perform detection.

"targetProperty": "baseline": The data to use as a baseline.

The inputs should have the same size.

Parameters

name	description	default value
`component.percentageChange`	The percentage threshold. If the percentage change is above this threshold, detect an anomaly. In ratio. Eg 0.1 means 10 percent.	`Inf`
`component.pattern`	Detect as an anomaly if the metric drop, rise or both directions. `UP`, `DOWN`, `UP_OR_DOWN`.	`UP_OR_DOWN`

Example

{
    "name": "root",
    "type": "AnomalyDetector",
    "params": {
    "type": "PERCENTAGE_CHANGE",
    "component.percentageChange": "0.2",   # 20% threshold 
    "component.pattern": "UP",             # only detect change up       
      ...  # shared parameters
    }, 
  "inputs": [
    {    # baseline data
      "targetProperty": "baseline",               
      "sourcePlanNode": "baselineDataFetcher",
      "sourceProperty": "baselineOutput"
    },
    {    # current data
      "targetProperty": "current",                
      "sourcePlanNode": "currentDataFetcher",
      "sourceProperty": "currentOutput"
    }
  ]
}

OFFSET_AGGREGATION THRESHOLD