anchor.diff:    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
  
positive.code:   The time between each periodic persistence of the model.
    The default value is a randomized value between 3 to 4 hours, which avoids
    all jobs persisting at exactly the same time. The smallest allowed value is
    1 hour. +
  
  TIP: For very large models (several GB), persistence could take 10-20 minutes,
  so do not set the `background_persist_interval` value too low.
  
  `create_time`::
    (string) The time the job was created. For example, `1491007356077`.
  
negative.code:   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]]
  