anchor.diff:    that setting. For more information, see <<ml-settings>>.
     
   `source`::
  -  (object) The configuration of how to source the analysis data. It requires an `index`.
  -  Optionally, `query` and `_source` may be specified.
  +  (object) The configuration of how to source the analysis data. It requires an 
  +  `index`. Optionally, `query` and `_source` may be specified.
     
     `index`:::
       (Required, string or array) Index or indices on which to perform the 
  
positive.code:   
  `analyzed_fields`::
    (Optional, object) Specify `includes` and/or `excludes` patterns to select
    which fields will be included in the analysis. If `analyzed_fields` is not set,
    only the relevant fields will be included. For example, all the numeric fields
    for {oldetection}. For the supported field types, see <<ml-put-dfanalytics-supported-fields>>.
    Also see the <<explain-dfanalytics>> which helps understand
    field selection.
  
    `includes`:::
      (Optional, array) An array of strings that defines the fields that will be 
  
negative.code:     cannot be included in the analysis.
          
        `includes`::::
          (array) An array of strings that defines the fields that will be 
          included in the destination.
            
        `excludes`::::
          (array) An array of strings that defines the fields that will be 
          excluded from the destination.
  
  `allow_lazy_start`::
    (Optional, boolean) Whether this job should be allowed to start when there
  