[DOCS] Changes level offset in data frame analytics APIs (#59919) (#5…

…9923)

docs/reference/ml/df-analytics/apis/delete-dfanalytics.asciidoc

@@ -1,7 +1,7 @@
 [role="xpack"]
 [testenv="platinum"]
 [[delete-dfanalytics]]
-=== Delete {dfanalytics-jobs} API
+= Delete {dfanalytics-jobs} API
 [subs="attributes"]
 ++++
 <titleabbrev>Delete {dfanalytics-jobs}</titleabbrev>
@@ -13,13 +13,13 @@ experimental[]
 
 
 [[ml-delete-dfanalytics-request]]
-==== {api-request-title}
+== {api-request-title}
 
 `DELETE _ml/data_frame/analytics/<data_frame_analytics_id>`
 
 
 [[ml-delete-dfanalytics-prereq]]
-==== {api-prereq-title}
+== {api-prereq-title}
 
 If the {es} {security-features} are enabled, you must have the following built-in roles or equivalent privileges:
 
@@ -30,14 +30,14 @@ For more information, see <<security-privileges>> and <<built-in-roles>>.
 
 
 [[ml-delete-dfanalytics-path-params]]
-==== {api-path-parms-title}
+== {api-path-parms-title}
 
 `<data_frame_analytics_id>`::
 (Required, string)
 include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-data-frame-analytics]
 
 [[ml-delete-dfanalytics-query-params]]
-==== {api-query-parms-title}
+== {api-query-parms-title}
 
 `force`::
   (Optional, boolean) If `true`, it deletes a job that is not stopped; this method is
@@ -50,7 +50,7 @@ include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-data-frame-analytics]
 
 
 [[ml-delete-dfanalytics-example]]
-==== {api-examples-title}
+== {api-examples-title}
 
 The following example deletes the `loganalytics` {dfanalytics-job}:
 

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

@@ -1,7 +1,7 @@
 [role="xpack"]
 [testenv="basic"]
 [[delete-inference]]
-=== Delete {infer} trained model API
+= Delete {infer} trained model API
 [subs="attributes"]
 ++++
 <titleabbrev>Delete {infer} trained model</titleabbrev>
@@ -14,13 +14,13 @@ experimental[]
 
 
 [[ml-delete-inference-request]]
-==== {api-request-title}
+== {api-request-title}
 
 `DELETE _ml/inference/<model_id>`
 
 
 [[ml-delete-inference-prereq]]
-==== {api-prereq-title}
+== {api-prereq-title}
 
 If the {es} {security-features} are enabled, you must have the following built-in roles or equivalent privileges:
 
@@ -31,23 +31,23 @@ For more information, see <<security-privileges>> and <<built-in-roles>>.
 
 
 [[ml-delete-inference-path-params]]
-==== {api-path-parms-title}
+== {api-path-parms-title}
 
 `<model_id>`::
 (Optional, string) 
 include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=model-id]
 
 
 [[ml-delete-inference-response-codes]]
-==== {api-response-codes-title}
+== {api-response-codes-title}
 
 `409`::
   The code indicates that the trained {infer} model is referenced by an ingest 
   pipeline and cannot be deleted.
 
 
 [[ml-delete-inference-example]]
-==== {api-examples-title}
+== {api-examples-title}
 
 The following example deletes the `regression-job-one-1574775307356` trained 
 model:

docs/reference/ml/df-analytics/apis/evaluate-dfanalytics.asciidoc

@@ -1,7 +1,7 @@
 [role="xpack"]
 [testenv="platinum"]
 [[evaluate-dfanalytics]]
-=== Evaluate {dfanalytics} API
+= Evaluate {dfanalytics} API
 
 [subs="attributes"]
 ++++
@@ -14,13 +14,13 @@ experimental[]
 
 
 [[ml-evaluate-dfanalytics-request]]
-==== {api-request-title}
+== {api-request-title}
 
 `POST _ml/data_frame/_evaluate`
 
 
 [[ml-evaluate-dfanalytics-prereq]]
-==== {api-prereq-title}
+== {api-prereq-title}
 
 If the {es} {security-features} are enabled, you must have the following privileges:
 
@@ -30,7 +30,7 @@ For more information, see <<security-privileges>> and <<built-in-roles>>.
 
 
 [[ml-evaluate-dfanalytics-desc]]
-==== {api-description-title}
+== {api-description-title}
 
 The API packages together commonly used evaluation metrics for various types of 
 machine learning features. This has been designed for use on indexes created by 
@@ -39,7 +39,7 @@ result field to be present.
 
 
 [[ml-evaluate-dfanalytics-request-body]]
-==== {api-request-body-title}
+== {api-request-body-title}
 
 `evaluation`::
 (Required, object) Defines the type of evaluation you want to perform.
@@ -63,10 +63,10 @@ performed.
 source index. See <<query-dsl>>.
 
 [[ml-evaluate-dfanalytics-resources]]
-==== {dfanalytics-cap} evaluation resources
+== {dfanalytics-cap} evaluation resources
 
 [[binary-sc-resources]]
-===== Binary soft classification evaluation objects
+=== Binary soft classification evaluation objects
 
 Binary soft classification evaluates the results of an analysis which outputs 
 the probability that each document belongs to a certain class. For example, in 
@@ -108,7 +108,7 @@ document is an outlier.
 
 
 [[regression-evaluation-resources]]
-===== {regression-cap} evaluation objects
+=== {regression-cap} evaluation objects
 
 {regression-cap} evaluation evaluates the results of a {regression} analysis 
 which outputs a prediction of values.
@@ -144,7 +144,7 @@ which outputs a prediction of values.
 
 
 [[classification-evaluation-resources]]
-==== {classification-cap} evaluation objects
+== {classification-cap} evaluation objects
 
 {classification-cap} evaluation evaluates the results of a {classanalysis} which 
 outputs a prediction that identifies to which of the classes each document 
@@ -177,7 +177,7 @@ belongs.
 
 ////
 [[ml-evaluate-dfanalytics-results]]
-==== {api-response-body-title}
+== {api-response-body-title}
 
 `binary_soft_classification`::
   (object) If you chose to do binary soft classification, the API returns the
@@ -194,11 +194,11 @@ belongs.
 
 
 [[ml-evaluate-dfanalytics-example]]
-==== {api-examples-title}
+== {api-examples-title}
 
 
 [[ml-evaluate-binary-soft-class-example]]
-===== Binary soft classification
+=== Binary soft classification
 
 [source,console]
 --------------------------------------------------
@@ -260,7 +260,7 @@ The API returns the following results:
 
 
 [[ml-evaluate-regression-example]]
-===== {regression-cap}
+=== {regression-cap}
 
 [source,console]
 --------------------------------------------------
@@ -374,7 +374,7 @@ calculated by the {reganalysis}.
 
 
 [[ml-evaluate-classification-example]]
-===== {classification-cap}
+=== {classification-cap}
 
 
 [source,console]

docs/reference/ml/df-analytics/apis/explain-dfanalytics.asciidoc

@@ -1,7 +1,7 @@
 [role="xpack"]
 [testenv="platinum"]
 [[explain-dfanalytics]]
-=== Explain {dfanalytics} API
+= Explain {dfanalytics} API
 
 [subs="attributes"]
 ++++
@@ -14,7 +14,7 @@ experimental[]
 
 
 [[ml-explain-dfanalytics-request]]
-==== {api-request-title}
+== {api-request-title}
 
 `GET _ml/data_frame/analytics/_explain` +
 
@@ -26,7 +26,7 @@ experimental[]
 
 
 [[ml-explain-dfanalytics-prereq]]
-==== {api-prereq-title}
+== {api-prereq-title}
 
 If the {es} {security-features} are enabled, you must have the following privileges:
 
@@ -36,7 +36,7 @@ For more information, see <<security-privileges>> and <<built-in-roles>>.
 
 
 [[ml-explain-dfanalytics-desc]]
-==== {api-description-title}
+== {api-description-title}
 
 This API provides explanations for a {dataframe-analytics-config} that either 
 exists already or one that has not been created yet.
@@ -51,21 +51,21 @@ they are not included in the explanation.
 
 
 [[ml-explain-dfanalytics-path-params]]
-==== {api-path-parms-title}
+== {api-path-parms-title}
 
 `<data_frame_analytics_id>`::
 (Optional, string)
 include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-data-frame-analytics]
 
 [[ml-explain-dfanalytics-request-body]]
-==== {api-request-body-title}
+== {api-request-body-title}
 
 A {dataframe-analytics-config} as described in <<put-dfanalytics>>.
 Note that `id` and `dest` don't need to be provided in the context of this API.
 
 [role="child_attributes"]
 [[ml-explain-dfanalytics-results]]
-==== {api-response-body-title}
+== {api-response-body-title}
 
 The API returns a response that contains the following:
 
@@ -118,7 +118,7 @@ memory needed to perform {dfanalytics}.
 
 
 [[ml-explain-dfanalytics-example]]
-==== {api-examples-title}
+== {api-examples-title}
 
 [source,console]
 --------------------------------------------------

docs/reference/ml/df-analytics/apis/get-dfanalytics-stats.asciidoc

@@ -1,7 +1,7 @@
 [role="xpack"]
 [testenv="platinum"]
 [[get-dfanalytics-stats]]
-=== Get {dfanalytics-jobs} statistics API
+= Get {dfanalytics-jobs} statistics API
 [subs="attributes"]
 ++++
 <titleabbrev>Get {dfanalytics-jobs} stats</titleabbrev>
@@ -12,7 +12,7 @@ Retrieves usage information for {dfanalytics-jobs}.
 experimental[]
 
 [[ml-get-dfanalytics-stats-request]]
-==== {api-request-title}
+== {api-request-title}
 
 `GET _ml/data_frame/analytics/<data_frame_analytics_id>/_stats` +
 
@@ -26,7 +26,7 @@ experimental[]
 
 
 [[ml-get-dfanalytics-stats-prereq]]
-==== {api-prereq-title}
+== {api-prereq-title}
 
 If the {es} {security-features} are enabled, you must have the following privileges:
 
@@ -35,15 +35,15 @@ If the {es} {security-features} are enabled, you must have the following privile
 For more information, see <<security-privileges>> and <<built-in-roles>>.
 
 [[ml-get-dfanalytics-stats-path-params]]
-==== {api-path-parms-title}
+== {api-path-parms-title}
 
 `<data_frame_analytics_id>`::
 (Optional, string)
 include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-data-frame-analytics-default]
 
 
 [[ml-get-dfanalytics-stats-query-params]]
-==== {api-query-parms-title}
+== {api-query-parms-title}
 
 `allow_no_match`::
 (Optional, boolean)
@@ -63,7 +63,7 @@ include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=verbose]
 
 [role="child_attributes"]
 [[ml-get-dfanalytics-stats-response-body]]
-==== {api-response-body-title}
+== {api-response-body-title}
 
 `data_frame_analytics`::
 (array)
@@ -521,15 +521,15 @@ values: `analyzing`, `failed`, `reindexing`, `started`, `starting`, `stopped`,
 //End of data_frame_analytics
 
 [[ml-get-dfanalytics-stats-response-codes]]
-==== {api-response-codes-title}
+== {api-response-codes-title}
 
 `404` (Missing resources)::
   If `allow_no_match` is `false`, this code indicates that there are no
   resources that match the request or only partial matches for the request.
 
 
 [[ml-get-dfanalytics-stats-example]]
-==== {api-examples-title}
+== {api-examples-title}
 
 The following API retrieves usage information for the
 {ml-docs}/ecommerce-outliers.html[{oldetection} {dfanalytics-job} example]: