[API] Updates Machine Learning APIs

The following APIs have been migrated from Beta to Stable: `ml.delete_data_frame_analytics`, `ml.delete_trained_model`, `ml.delete_trained_model_alias`, `ml.evaluate_data_frame`, `ml.explain_data_frame_analytics`, `ml.get_data_frame_analytics`, `ml.get_data_frame_analytics_stats`, `ml.get_trained_models`, `ml.get_trained_models_stats`, `ml.preview_data_frame_analytics`, `ml.put_data_frame_analytics`, `ml.put_trained_model`, `ml.put_trained_model_alias`, `ml.start_data_frame_analytics`, `ml.stop_data_frame_analytics`, `ml.update_data_frame_analytics`.

Author: picandocodigo

elasticsearch-api/lib/elasticsearch/api/actions/cluster/get_settings.rb

@@ -27,7 +27,7 @@ module Actions
         # @option arguments [Boolean] :include_defaults Whether to return all default clusters setting.
         # @option arguments [Hash] :headers Custom HTTP headers
         #
-        # @see https://www.elastic.co/guide/en/elasticsearch/reference/7.x/cluster-update-settings.html
+        # @see https://www.elastic.co/guide/en/elasticsearch/reference/7.x/cluster-get-settings.html
         #
         def get_settings(arguments = {})
           headers = arguments.delete(:headers) || {}

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/delete_data_frame_analytics.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Deletes an existing data frame analytics job.
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [String] :id The ID of the data frame analytics to delete
           # @option arguments [Boolean] :force True if the job should be forcefully deleted

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/delete_trained_model.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Deletes an existing trained inference model that is currently not referenced by an ingest pipeline.
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [String] :model_id The ID of the trained model to delete
           # @option arguments [Hash] :headers Custom HTTP headers

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/delete_trained_model_alias.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Deletes a model alias that refers to the trained model
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [String] :model_alias The trained model alias to delete
           # @option arguments [String] :model_id The trained model where the model alias is assigned

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/evaluate_data_frame.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Evaluates the data frame analytics for an annotated index.
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [Hash] :headers Custom HTTP headers
           # @option arguments [Hash] :body The evaluation definition (*Required*)

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/explain_data_frame_analytics.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Explains a data frame analytics config.
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [String] :id The ID of the data frame analytics to explain
           # @option arguments [Hash] :headers Custom HTTP headers

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/get_data_frame_analytics.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Retrieves configuration information for data frame analytics jobs.
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [String] :id The ID of the data frame analytics to fetch
           # @option arguments [Boolean] :allow_no_match Whether to ignore if a wildcard expression matches no data frame analytics. (This includes `_all` string or when no data frame analytics have been specified)

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/get_data_frame_analytics_stats.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Retrieves usage information for data frame analytics jobs.
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [String] :id The ID of the data frame analytics stats to fetch
           # @option arguments [Boolean] :allow_no_match Whether to ignore if a wildcard expression matches no data frame analytics. (This includes `_all` string or when no data frame analytics have been specified)

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/get_trained_models.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Retrieves configuration information for a trained inference model.
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [String] :model_id The ID of the trained models to fetch
           # @option arguments [Boolean] :allow_no_match Whether to ignore if a wildcard expression matches no trained models. (This includes `_all` string or when no trained models have been specified)

elasticsearch-xpack/lib/elasticsearch/xpack/api/actions/machine_learning/get_trained_models_stats.rb

@@ -21,10 +21,6 @@ module API
       module MachineLearning
         module Actions
           # Retrieves usage information for trained inference models.
-          # This functionality is in Beta and is subject to change. The design and
-          # code is less mature than official GA features and is being provided
-          # as-is with no warranties. Beta features are not subject to the support
-          # SLA of official GA features.
           #
           # @option arguments [String] :model_id The ID of the trained models stats to fetch
           # @option arguments [Boolean] :allow_no_match Whether to ignore if a wildcard expression matches no trained models. (This includes `_all` string or when no trained models have been specified)