[DOCS] Add comments for automated screenshots (elastic#2274)

Author: lcawl

docs/en/stack/ml/anomaly-detection/geographic-anomalies.asciidoc

@@ -38,6 +38,7 @@ of example values, and preview them on a map. For example:
 
 [role="screenshot"]
 image::images/weblogs-data-visualizer-geopoint.jpg[A screenshot of a geo_point field in {data-viz}]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 [discrete]
 [[geographic-anomalies-jobs]]
@@ -65,6 +66,7 @@ past behavior of each customer (`user` ID):
 
 [role="screenshot"]
 image::images/ecommerce-advanced-wizard-geopoint.jpg[A screenshot of creating an {anomaly-job} using the eCommerce data in {kib}]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 .API example
 [%collapsible]
@@ -128,6 +130,7 @@ sums of transferred data (`bytes` values):
 
 [role="screenshot"]
 image::images/weblogs-advanced-wizard-geopoint.jpg[A screenshot of creating an {anomaly-job} using the web logs data in {kib}]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 .API example
 [%collapsible]
@@ -206,13 +209,15 @@ behavior:
 
 [role="screenshot"]
 image::images/ecommerce-anomaly-explorer-geopoint.jpg[A screenshot of an anomalous event in the eCommerce data in Anomaly Explorer]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 Likewise, there are time periods in the web logs sample data where there are
 both unusually high sums of data transferred and unusual geographical
 coordinates:
 
 [role="screenshot"]
 image::images/weblogs-anomaly-explorer-geopoint.jpg[A screenshot of an anomalous event in the web logs data in Anomaly Explorer]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 You can use the top influencer values to further filter your results and
 identify possible contributing factors or patterns of behavior.
@@ -222,6 +227,7 @@ in the action menu in the anomaly table.
 
 [role="screenshot"]
 image::images/view-in-maps.jpg[A screenshot of the anomaly table with the Action menu opened and the "View in Maps" option selected]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 When you try this type of {anomaly-job} with your own data, it might take
 some experimentation to find the best combination of buckets, detectors, and

docs/en/stack/ml/anomaly-detection/mapping-anomalies.asciidoc

@@ -27,6 +27,7 @@ area is colored based on its document count. For example:
 
 [role="screenshot"]
 image::images/weblogs-data-visualizer-choropleth.png[A screenshot of a field that contains vector layer values in {data-viz}]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 [discrete]
 [[mapping-anomalies-jobs]]
@@ -42,6 +43,7 @@ transferred (`bytes` values) for each destination country (`geo.dest` values):
 
 [role="screenshot"]
 image::images/weblogs-multimetric-wizard-vector.png[A screenshot of creating an {anomaly-job} using the web logs data in {kib}]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 .API example
 [%collapsible]
@@ -111,6 +113,7 @@ in {kib} until you follow the prompts to synchronize the necessary saved objects
 
 [role="screenshot"]
 image::images/weblogs-anomaly-explorer-vectors.png[A screenshot of the anomaly count by ___location in Anomaly Explorer]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 The **Anomaly Explorer** contains a map, which is affected by your swim lane
 selections. It colors each ___location to reflect the number of anomalies in that