Add configuration settings sections.

henningandersen · henningandersen · commit d0429bd4c243 · 2021-01-11T21:55:28.000+01:00
diff --git a/docs/reference/autoscaling/deciders/fixed-decider.asciidoc b/docs/reference/autoscaling/deciders/fixed-decider.asciidoc
@@ -10,7 +10,7 @@ The fixed decider is intended for testing only. Do not use this decider in produ
 The `fixed` decider responds with a fixed required capacity. It is not enabled
 by default but can be enabled for any policy by explicitly configuring it.
 
-It has three configuration options:
+==== Configuration settings
 
 `storage`::
 (Optional, <<byte-units,byte value>>)
diff --git a/docs/reference/autoscaling/deciders/machine-learning-decider.asciidoc b/docs/reference/autoscaling/deciders/machine-learning-decider.asciidoc
@@ -6,12 +6,20 @@
 The {ml} decider (`ml`) calculates the memory required to run
 {ml} jobs created by users.
 
-The {ml} decider is enabled for policies governing `ml` nodes and has following
-configuration options:
+The {ml} decider is enabled for policies governing `ml` nodes.
 
-* `num_anomaly_jobs_in_queue`, default 0
-* `num_analytics_jobs_in_queue`, default 0
-* `down_scale_delay`, default 1 hour
+[[autoscaling-machine-learning-decider-settings]]
+==== Configuration settings
+
+`num_anomaly_jobs_in_queue`::
+(Optional, integer)
+Number of queued anomaly jobs to allow. Default 0.
+
+`num_analytics_jobs_in_queue`::
+Number of queued analytics jobs to allow. Default 0.
+`down_scale_delay`::
+(Optional, <<time-units,time value>>
+Delay before scaling down. Default 1 hour.
 
 [[autoscaling-machine-learning-decider-examples]]
 ==== {api-examples-title}
diff --git a/docs/reference/autoscaling/deciders/proactive-storage-decider.asciidoc b/docs/reference/autoscaling/deciders/proactive-storage-decider.asciidoc
@@ -6,14 +6,19 @@
 The proactive storage decider (`proactive_storage`) calculates the storage required to contain
 the current data set plus an estimated amount of expected additional data.
 
-The proactive storage decider is enabled for all policies governing nodes with the `data_hot` role. A
-single configuration option `forecast_window` is available, defaulting to 30
-minutes.
+The proactive storage decider is enabled for all policies governing nodes with the `data_hot` role.
 
 The estimation of expected additional data is based on past indexing that
-occurred within the `forecast_window`, i.e., by default the last 30 minutes.
+occurred within the `forecast_window`.
 Only indexing into data streams contributes to the estimate.
 
+[[autoscaling-proactive-storage-decider-settings]]
+==== Configuration settings
+
+`forecast_window`::
+(Optional, <<time-units,time value>>)
+The window of time to use for forecasting. Defaults to 30 minutes.
+
 [[autoscaling-proactive-storage-decider-examples]]
 ==== {api-examples-title}
 
