[DOCS] Adds response body documentation to GET inference API (#53050)

docs/reference/ml/df-analytics/apis/get-inference-trained-model.asciidoc

@@ -75,6 +75,13 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=include-model-definition]
 include::{docdir}/ml/ml-shared.asciidoc[tag=size]
 
 
+[[ml-get-inference-results]]
+==== {api-response-body-title}
+
+`trained_model_configs`::
+(array) 
+include::{docdir}/ml/ml-shared.asciidoc[tag=trained-model-configs]
+
 [[ml-get-inference-response-codes]]
 ==== {api-response-codes-title}
 

docs/reference/ml/ml-shared.asciidoc

@@ -133,7 +133,8 @@ analysis. You do not need to add fields with unsupported data types to
 end::analyzed-fields-excludes[]
 
 tag::analyzed-fields-includes[]
-An array of strings that defines the fields that will be included in the analysis.
+An array of strings that defines the fields that will be included in the 
+analysis.
 end::analyzed-fields-includes[]
 
 tag::background-persist-interval[]
@@ -1091,6 +1092,68 @@ that tokenizer but change the character or token filters, specify
 `"tokenizer": "ml_classic"` in your `categorization_analyzer`.
 end::tokenizer[]
 
+tag::total-by-field-count[]
+The number of `by` field values that were analyzed by the models. This value is
+cumulative for all detectors in the job.
+end::total-by-field-count[]
+
+tag::total-category-count[]
+The number of categories created by categorization.
+end::total-category-count[]
+
+tag::total-over-field-count[]
+The number of `over` field values that were analyzed by the models. This value
+is cumulative for all detectors in the job.
+end::total-over-field-count[]
+
+tag::total-partition-field-count[]
+The number of `partition` field values that were analyzed by the models. This
+value is cumulative for all detectors in the job.
+end::total-partition-field-count[]
+
+tag::trained-model-configs[]
+An array of trained model resources, which are sorted by the `model_id` value in 
+ascending order.
+
+`model_id`:::
+(string)
+Idetifier for the trained model.
+
+`created_by`:::
+(string)
+Information on the creator of the trained model.
+
+`version`:::
+(string)
+The {es} version number in which the trained model was created.
+
+`create_time`:::
+(<<time-units,time units>>)
+The time when the trained model was created.
+
+`tags`:::
+(string)
+A comma delimited string of tags. A {infer} model can have many tags, or none.
+
+`metadata`:::
+(object)
+An object containing metadata about the trained model. For example, models 
+created by {dfanalytics} contain an `analysis_config` and an `input`
+object.
+
+`estimated_heap_memory_usage_bytes`:::
+(integer)
+The estimated heap usage in bytes to keep the trained model in memory.
+
+`estimated_operations`:::
+(integer)
+The estimated number of operations to use the trained model.
+
+`license_level`:::
+(string)
+The license level of the trained model.
+end::trained-model-configs[]
+
 tag::training-percent[]
 Defines what percentage of the eligible documents that will 
 be used for training. Documents that are ignored by the analysis (for example