Add version tags for 9.2 and change modules to configurations

Co-authored-by: florent-leborgne <[email protected]>

Author: Copilot

explore-analyze/machine-learning/anomaly-detection/anomaly-detection-scale.md

@@ -100,7 +100,7 @@ See [Aggregating data for faster performance](ml-configuring-aggregation.md) to
 
 Set a results retention window to reduce the amount of results stored.
 
-{{anomaly-detect-cap}} results are retained indefinitely by default, except for predefined {{ml}} configurations for logs which retain results for 120 days. Results build up over time, and your result index may be quite large. A large results index is slow to query and takes up significant space on your cluster. Consider how long you wish to retain the results and set `results_retention_days` accordingly – for example, to 30 or 60 days – to avoid unnecessarily large result indices. Deleting old results does not affect the model behavior. You can change this setting for existing jobs.
+{{anomaly-detect-cap}} results are retained indefinitely by default, except for predefined {{ml}} configurations for logs {applies_to}`stack: ga 9.2` which retain results for 120 days. Results build up over time, and your result index may be quite large. A large results index is slow to query and takes up significant space on your cluster. Consider how long you wish to retain the results and set `results_retention_days` accordingly – for example, to 30 or 60 days – to avoid unnecessarily large result indices. Deleting old results does not affect the model behavior. You can change this setting for existing jobs.
 
 ## 10. Optimize the renormalization window [renormalization-window]
 

solutions/observability/logs/categorize-log-entries.md

@@ -28,6 +28,8 @@ Create a {{ml}} job to categorize log messages automatically. {{ml-cap}} observe
 4. Click **Create ML job**. This creates and runs the job. It takes a few minutes for the {{ml}} robots to collect the necessary data. After the job has processed the data, you can view its results.
 
 ::::{note}
+:applies_to: stack: ga 9.2
+
 Log categorization {{ml}} jobs retain results for 120 days by default. Modify the `results_retention_days` setting to change this period.
 ::::
 

solutions/observability/logs/inspect-log-anomalies.md

@@ -33,6 +33,8 @@ Create a {{ml}} job to detect anomalous log entry rates automatically.
 4. Click **Create ML job**. This creates and runs the job. It takes a few minutes for the {{ml}} robots to collect the necessary data. After the job has processed the data, you can view its results.
 
 ::::{note}
+:applies_to: stack: ga 9.2
+
 Log anomaly {{ml}} jobs retain results for 120 days by default. Modify the `results_retention_days` setting to change this period.
 ::::