[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
**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
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.
A scheduled event must have a start time, end time, and description. In general,
scheduled events are short in duration (typically lasting from a few hours to a
day) and occur infrequently. If you have regularly occurring events, such as
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
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
{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?
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