[DOCS] Added QA notes about scheduled events (elastic/x-pack-elasticsearch#3641)

Original commit: elastic/x-pack-elasticsearch@64b67aa0ad
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Lisa Cawley 2018-01-23 08:41:48 -08:00 committed by GitHub
parent 63c0e288af
commit 223d3c1f4c

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@ -9,10 +9,15 @@ The {ml} model is not ill-affected and you do not receive spurious results.
You can create calendars and scheduled events in the **Settings** pane on the You can create calendars and scheduled events in the **Settings** pane on the
**Machine Learning** page in {kib} or by using {ref}/ml-apis.html[{ml} APIs]. **Machine Learning** page in {kib} or by using {ref}/ml-apis.html[{ml} APIs].
A scheduled event must have a start time, end time, and description. You can A scheduled event must have a start time, end time, and description. In general,
identify zero or more scheduled events in a calendar. Jobs can then subscribe to scheduled events are short in duration (typically lasting from a few hours to a
calendars and the {ml} analytics handle all subsequent scheduled events day) and occur infrequently. If you have regularly occurring events, such as
appropriately. weekly maintenance periods, you do not need to create scheduled events for these
circumstances; they are already handled by the {ml} analytics.
You can identify zero or more scheduled events in a calendar. Jobs can then
subscribe to calendars and the {ml} analytics handle all subsequent scheduled
events appropriately.
If you want to add multiple scheduled events at once, you can import an If you want to add multiple scheduled events at once, you can import an
iCalendar (`.ics`) file in {kib} or a JSON file in the iCalendar (`.ics`) file in {kib} or a JSON file in the
@ -21,8 +26,16 @@ add events to calendar API
//] //]
. .
NOTE: Bucket results are generated during scheduled events but they have an [NOTE]
--
* If your iCalendar file contains recurring events, only the first occurrence is
imported.
* Bucket results are generated during scheduled events but they have an
anomaly score of zero. For more information about bucket results, see anomaly score of zero. For more information about bucket results, see
{ref}/ml-results-resource.html[Results Resources]. {ref}/ml-results-resource.html[Results Resources].
* If you use long or frequent scheduled events, it might take longer for the
{ml} analytics to learn to model your data and some anomalous behavior might be
missed.
//TO-DO: Add screenshot showing special events in Single Metric Viewer? --