[DOCS] Update screenshots for population job (elastic/x-pack-elasticsearch#3334)

* [DOCS] Update screenshots for population job

* [DOCS] Updated screenshots for population wizard

Original commit: elastic/x-pack-elasticsearch@21b7dc1734
This commit is contained in:
Lisa Cawley 2017-12-20 13:09:58 -08:00 committed by lcawley
parent e53ac4484c
commit f14ca25ffc
4 changed files with 7 additions and 6 deletions

Binary file not shown.

Before

Width:  |  Height:  |  Size: 152 KiB

After

Width:  |  Height:  |  Size: 176 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 62 KiB

After

Width:  |  Height:  |  Size: 96 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 215 KiB

After

Width:  |  Height:  |  Size: 205 KiB

View File

@ -58,15 +58,16 @@ PUT _xpack/ml/anomaly_detectors/population
//include only workstations as servers and printers would behave differently
//from the population
If your data is stored in {es}, you can create an advanced job with these same
properties. In particular, you specify the `over_field_name` property when you
add detectors:
If your data is stored in {es}, you can use the population job wizard in {kib}
to create a job with these same properties. For example, the population job
wizard provides the following job settings:
[role="screenshot"]
image::images/ml-population-job.jpg["Create a detector for population analysis]
image::images/ml-population-job.jpg["Job settings in the population job wizard]
After you open the job and start the {dfeed} or supply data to the job, you can
view the results in {kib}. For example:
view the results in {kib}. For example, you can view the results in the
**Anomaly Explorer**:
[role="screenshot"]
image::images/ml-population-results.jpg["Population analysis results in the Anomaly Explorer"]
@ -76,7 +77,7 @@ data points for the selected time period. Population analysis is particularly
useful when you have many entities and the data for specific entitles is sporadic
or sparse.
If you click on a section in the time line or swim lanes, you can see more
If you click on a section in the timeline or swimlanes, you can see more
details about the anomalies:
[role="screenshot"]