anchor.diff:  provided, otherwise a bad request is returned.
   end::include-model-definition[]
   
  -tag::tags[]
  -A comma delimited string of tags. A {infer} model can have many tags, or none.
  -When supplied, only {infer} models that contain all the supplied tags are
  -returned.
  -end::tags[]
  -
   tag::indices[]
   An array of index names. Wildcards are supported. For example:
   `["it_ops_metrics", "server*"]`.
  -
  -tag::num-top-feature-importance-values[]
  -Advanced configuration option. If set, feature importance for the top
  -most important features will be computed. Importance is calculated
  -using the SHAP (SHapley Additive exPlanations) method as described in
  -https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf[Lundberg, S. M., & Lee, S.-I. A Unified Approach to Interpreting Model Predictions. In NeurIPS 2017.].
  -end::num-top-feature-importance-values[]
  -
   +
   --
   NOTE: If any indices are in remote clusters then `cluster.remote.connect` must
  
positive.code: total number of categories (in the {version} version of the {stack}, it's two) 
  to predict then we will report all category probabilities. Defaults to 2.
  end::num-top-classes[]
  
  tag::over-field-name[]
  The field used to split the data. In particular, this property is used for 
  
negative.code: --
  end::summary-count-field-name[]
  
  tag::tags[]
  A comma delimited string of tags. A {infer} model can have many tags, or none.
  When supplied, only {infer} models that contain all the supplied tags are
  returned.
  end::tags[]
  
  tag::timeout-start[]
  Controls the amount of time to wait until the {dfanalytics-job} starts. Defaults 
  to 20 seconds.
  