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[DOCS] Expanded conceptual information about jobs (elastic/x-pack-elasticsearch#3332) 

Original commit: elastic/x-pack-elasticsearch@18b32bd7b0
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Lisa Cawley 2018-02-19 10:38:38 -08:00 committed by GitHub
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docs/en/ml/jobs.asciidoc
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[float]
[[ml-jobs]] [[ml-jobs]]
=== Jobs === Machine Learning Jobs
++++
<titleabbrev>Jobs</titleabbrev>
++++
Machine learning jobs contain the configuration information and metadata Machine learning jobs contain the configuration information and metadata
necessary to perform an analytics task. For a list of the properties associated necessary to perform an analytics task.
with a job, see {ref}/ml-job-resource.html[Job Resources].
[float] Each job has one or more _detectors_. A detector applies an analytical function
[[ml-detectors]] to specific fields in your data. For more information about the types of
=== Detectors analysis you can perform, see <<ml-functions>>.
As part of the configuration information that is associated with a job, A job can also contain properties that affect which types of entities or events
detectors define the type of analysis that needs to be done. They also specify are considered anomalous. For example, you can specify whether entities are
which fields to analyze. You can have more than one detector in a job, which analyzed relative to their own previous behavior or relative to other entities
is more efficient than running multiple jobs against the same data. For a list in a population. There are also multiple options for splitting the data into
of the properties associated with detectors, see categories and partitions. Some of these more advanced job configurations
{ref}/ml-job-resource.html#ml-detectorconfig[Detector Configuration Objects]. are described in the following section: <<ml-configuring>>.
[float] For a description of all the job properties, see
[[ml-function-overview]] {ref}/ml-job-resource.html[Job Resources].
=== Analytical functions
See <<ml-functions>>. In {kib}, there are wizards that help you create specific types of jobs, such
as _single metric_, _multi-metric_, and _population_ jobs. A single metric job
is just a job with a single detector and limited job properties. To have access
to all of the job properties in {kib}, you must choose the _advanced_ job wizard.
If you want to try creating single and multi-metrics jobs in {kib} with sample
data, see <<ml-getting-started>>.
You can also optionally assign jobs to one or more _job groups_. You can use
job groups to view the results from multiple jobs more easily and to expedite
administrative tasks by opening or closing multiple jobs at once.

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docs/en/ml/overview.asciidoc
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include::analyzing.asciidoc[] include::analyzing.asciidoc[]
include::forecasting.asciidoc[] include::forecasting.asciidoc[]
include::jobs.asciidoc[]
include::datafeeds.asciidoc[]
include::buckets.asciidoc[] include::buckets.asciidoc[]
include::calendars.asciidoc[] include::calendars.asciidoc[]
include::datafeeds.asciidoc[]
[[ml-concepts]] [[ml-concepts]]
=== Basic Machine Learning Terms === Basic Machine Learning Terms
@ -16,5 +17,4 @@ include::datafeeds.asciidoc[]
There are a few concepts that are core to {ml} in {xpack}. Understanding these There are a few concepts that are core to {ml} in {xpack}. Understanding these
concepts from the outset will tremendously help ease the learning process. concepts from the outset will tremendously help ease the learning process.
include::jobs.asciidoc[]
include::architecture.asciidoc[] include::architecture.asciidoc[]