anchor.diff:    since 1 Jan 1970).
     The value `epoch_ms` indicates that time is measured in milliseconds since the epoch.
     The `epoch` and `epoch_ms` time formats accept either integer or real values. +
  -
  ++
  +--
   NOTE: Custom patterns must conform to the Java `DateTimeFormatter` class.
   When you use date-time formatting patterns, it is recommended that you provide
   the full date, time and time zone. For example: `yyyy-MM-dd'T'HH:mm:ssX`.
   If the pattern that you specify is not sufficient to produce a complete timestamp,
   job creation fails.
   
  +--
   
   [float]
   [[ml-apilimits]]
  
positive.code:   in the results data store. The default value is 4.  If you increase this value,
    more examples are available, however it requires that you have more storage available.
    If you set this value to `0`, no examples are stored. +
  
  NOTE: The `categorization_examples_limit` only applies to analysis that uses categorization.
  For more information, see
  {xpack-ref}/ml-configuring-categories.html[Categorizing Log Messages].
  
  //<<ml-configuring-categories>>.
  
  `model_memory_limit`::
    (long or string) The approximate maximum amount of memory resources that are
  
negative.code:   (array) An array of detector configuration objects,
    which describe the anomaly detectors that are used in the job.
    See <<ml-detectorconfig,detector configuration objects>>. +
  +
  --
  NOTE: If the `detectors` array does not contain at least one detector,
  no analysis can occur and an error is returned.
  
  --
  
  `influencers`::
    (array of strings) A comma separated list of influencer field names.
  