anchor.diff:    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. +
  -
  +  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`.
  
positive.code:   time order. The default value is 0 (no latency). If you specify a non-zero
    value, it must be greater than or equal to one second. For more information
    about time units, see
    {ref}/common-options.html#time-units[Time Units]. +
  
  NOTE: Latency is only applicable when you send data by using
  the <<ml-post-data,post data>> API.
  
  `multivariate_by_fields`::
    (boolean) If set to `true`, the analysis will automatically find correlations
    between metrics for a given `by` field value and report anomalies when those
    correlations cease to hold. For example, suppose CPU and memory usage on host A
    is usually highly correlated with the same metrics on host B. Perhaps this
    correlation occurs because they are running a load-balanced application.
    If you enable this property, then anomalies will be reported when, for example,
    CPU usage on host A is high and the value of CPU usage on host B is low.
    That is to say, you'll see an anomaly when the CPU of host A is unusual given
    the CPU of host B. +
  
  NOTE: To use the `multivariate_by_fields` property, you must also specify
  `by_field_name` in your detector.
  
  `summary_count_field_name`::
    (string) If this property is specified, the data that is fed to the job is
    expected to be pre-summarized. This property value is the name of the field
    that contains the count of raw data points that have been summarized. The same
    `summary_count_field_name` applies to all detectors in the job. +
  
  NOTE: The `summary_count_field_name` property cannot be used with the `metric`
  function.
  
  ////
  LEAVE UNDOCUMENTED
  
negative.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].
  
  --
  
  `model_memory_limit`::
    (long or string) The approximate maximum amount of memory resources that are
  