[DOCS] Collapses content in machine learning APIs (#54234) (#54453)

Author: lcawl

docs/reference/ml/anomaly-detection/apis/estimate-model-memory.asciidoc

@@ -26,7 +26,7 @@ configuration details and cardinality estimates for the fields it references.
 
 `analysis_config`::
 (Required, object) For a list of the properties that you can specify in the
-`analysis_config` component of the body of this API, see <<put-analysisconfig>>.
+`analysis_config` component of the body of this API, see <<put-analysisconfig,`analysis_config`>>.
 
 `max_bucket_cardinality`::
 (Optional, object) Estimates of the highest cardinality in a single bucket

docs/reference/ml/anomaly-detection/apis/get-bucket.asciidoc

@@ -77,6 +77,7 @@ default, the buckets are sorted by the `timestamp` field.
 `start`::
 (Optional, string) Returns buckets with timestamps after this time.
 
+[role="child_attributes"]
 [[ml-get-bucket-results]]
 ==== {api-response-body-title}
 
@@ -89,49 +90,52 @@ records in the bucket contribute to this score. This value might be updated as
 new data is analyzed.
 
 `bucket_influencers`::
-(array) An array of bucket influencer objects, which have the following
-properties:
-
-`bucket_influencers`.`anomaly_score`:::
+(array) An array of bucket influencer objects.
++
+.Properties of `bucket_influencers`
+[%collapsible%open]
+====
+`anomaly_score`:::
 (number) A normalized score between 0-100, which is calculated for each bucket
 influencer. This score might be updated as newer data is analyzed.
 
-`bucket_influencers`.`bucket_span`:::
+`bucket_span`:::
 (number)
 include::{docdir}/ml/ml-shared.asciidoc[tag=bucket-span-results]
 
-`bucket_influencers`.`initial_anomaly_score`:::
+`initial_anomaly_score`:::
 (number) The score between 0-100 for each bucket influencer. This score is the
 initial value that was calculated at the time the bucket was processed.
 
-`bucket_influencers`.`influencer_field_name`:::
+`influencer_field_name`:::
 (string) The field name of the influencer.
 
-`bucket_influencers`.`influencer_field_value`:::
+`influencer_field_value`:::
 (string) The field value of the influencer.
 
-`bucket_influencers`.`is_interim`:::
+`is_interim`:::
 (boolean)
 include::{docdir}/ml/ml-shared.asciidoc[tag=is-interim]
 
-`bucket_influencers`.`job_id`:::
+`job_id`:::
 (string)
 include::{docdir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]
 
-`bucket_influencers`.`probability`:::
+`probability`:::
 (number) The probability that the bucket has this behavior, in the range 0 to 1.
 This value can be held to a high precision of over 300 decimal places, so the 
 `anomaly_score` is provided as a human-readable and friendly interpretation of
 this.
 
-`bucket_influencers`.`raw_anomaly_score`:::
+`raw_anomaly_score`:::
 (number) Internal.
 
-`bucket_influencers`.`result_type`:::
+`result_type`:::
 (string) Internal. This value is always set to `bucket_influencer`.
 
-`bucket_influencers`.`timestamp`:::
+`timestamp`:::
 (date) The start time of the bucket for which these results were calculated.
+====
 
 `bucket_span`::
 (number)

docs/reference/ml/anomaly-detection/apis/get-datafeed-stats.asciidoc

@@ -60,6 +60,7 @@ all {dfeeds}.
 (Optional, boolean)
 include::{docdir}/ml/ml-shared.asciidoc[tag=allow-no-datafeeds]
 
+[role="child_attributes"]
 [[ml-get-datafeed-stats-results]]
 ==== {api-response-body-title}
 
@@ -77,18 +78,23 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=datafeed-id]
 `node`::
 (object)
 include::{docdir}/ml/ml-shared.asciidoc[tag=node-datafeeds]
-
-`node`.`id`:::
++
+--
+[%collapsible%open]
+====
+`id`:::
 include::{docdir}/ml/ml-shared.asciidoc[tag=node-id]
 
-`node`.`name`::: The node name. For example, `0-o0tOo`.
+`name`::: The node name. For example, `0-o0tOo`.
 
-`node`.`ephemeral_id`:::
+`ephemeral_id`:::
 include::{docdir}/ml/ml-shared.asciidoc[tag=node-ephemeral-id]
 
-`node`.`transport_address`::: The host and port where transport HTTP connections are
+`transport_address`::: The host and port where transport HTTP connections are
 accepted. For example, `127.0.0.1:9300`.
-`node`.`attributes`::: For example, `{"ml.machine_memory": "17179869184"}`.
+`attributes`::: For example, `{"ml.machine_memory": "17179869184"}`.
+====
+--
 
 `state`::
 (string)
@@ -97,27 +103,32 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=state-datafeed]
 `timing_stats`::
 (object) An object that provides statistical information about timing aspect of
 this {dfeed}.
-
-`timing_stats`.`average_search_time_per_bucket_ms`:::
++
+--
+[%collapsible%open]
+====
+`average_search_time_per_bucket_ms`:::
 (double)
 include::{docdir}/ml/ml-shared.asciidoc[tag=search-bucket-avg]
 
-`timing_stats`.`bucket_count`:::
+`bucket_count`:::
 (long)
 include::{docdir}/ml/ml-shared.asciidoc[tag=bucket-count]
 
-`timing_stats`.`exponential_average_search_time_per_hour_ms`:::
+`exponential_average_search_time_per_hour_ms`:::
 (double)
 include::{docdir}/ml/ml-shared.asciidoc[tag=search-exp-avg-hour]
 
-`timing_stats`.`job_id`:::
+`job_id`:::
 include::{docdir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]
 
-`timing_stats`.`search_count`:::
+`search_count`:::
 include::{docdir}/ml/ml-shared.asciidoc[tag=search-count]
 
-`timing_stats`.`total_search_time_ms`:::
+`total_search_time_ms`:::
 include::{docdir}/ml/ml-shared.asciidoc[tag=search-time]
+====
+--
 
 
 [[ml-get-datafeed-stats-response-codes]]