anchor.diff:    "by_field_name" : "application"
   }
   --------------------------------------------------
  +
  +[float]
  +[[ml-metric-high-median]]
  +==== High_median
  +
  +The `high_median` function detects anomalies in the statistical median of a value.
  +The median value is calculated for each bucket.
  +Use this function if you want to monitor unusually high median values.
  +
  +This function supports the following properties:
  +
  +* `field_name` (required)
  +* `by_field_name` (optional)
  +* `over_field_name` (optional)
  +* `partition_field_name` (optional)
  +* `summary_count_field_name` (optional)
  +
  +For more information about those properties,
  +see <<ml-detectorconfig,Detector Configuration Objects>>.
  +
  +[float]
  +[[ml-metric-low-median]]
  +==== Low_median
  +
  +The `low_median` function detects anomalies in the statistical median of a value.
  +The median value is calculated for each bucket.
  +Use this function if you are just interested in unusually low median values.
  +
  +This function supports the following properties:
  +
  +* `field_name` (required)
  +* `by_field_name` (optional)
  +* `over_field_name` (optional)
  +* `partition_field_name` (optional)
  +* `summary_count_field_name` (optional)
  +
  +For more information about those properties,
  +see <<ml-detectorconfig,Detector Configuration Objects>>.
   
   
   [float]
  
positive.code: * <<ml-metric-min,`min`>>
  * <<ml-metric-max,`max`>>
  * <<ml-metric-median,`median`>>
  * <<ml-metric-mean,`mean`>>
  * <<ml-metric-high-mean,`high_mean`>>
  * <<ml-metric-low-mean,`low_mean`>>
  
negative.code: The `median` function detects anomalies in the statistical median of a value.
  The median value is calculated for each bucket.
  
  This function supports the following properties:
  
  * `field_name` (required)
  