anchor.diff:  
   
   ==== Configuration options for {infer} models
  -The `inference_config` setting is optional and usaully isn't required as the pre-trained models come equipped with sensible defaults.
  -In the context of aggregations some options can overridden for each of the 2 types of model.
  +
  +The `inference_config` setting is optional and usually isn't required as the 
  +pre-trained models come equipped with sensible defaults. In the context of 
  +aggregations some options can overridden for each of the 2 types of model.
   
   [discrete]
   [[inference-agg-regression-opt]]
  
positive.code: <2> The optional inference config which overrides the model's default settings
  <3> Map the value of `avg_agg` to the model's input field `avg_cost`
  
  [[inference-bucket-params]]
  .`inference` Parameters
  [options="header"]
  
negative.code: [role="xpack"]
  [testenv="basic"]
  [[search-aggregations-pipeline-inference-bucket-aggregation]]
  === {infer-cap} Bucket Aggregation
  
  A parent pipeline aggregation which loads a pre-trained model and performs 
  {infer} on the collated result fields from the parent bucket aggregation.
  
  To use the {infer} bucket aggregation, you need to have the same security 
  privileges that are required for using the <<get-inference>>.
  
  [[inference-bucket-agg-syntax]]
  ==== Syntax
  