49 lines
1.6 KiB
Plaintext
49 lines
1.6 KiB
Plaintext
[role="xpack"]
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[[xpack-ml]]
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= Machine Learning
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[partintro]
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--
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As datasets increase in size and complexity, the human effort required to
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inspect dashboards or maintain rules for spotting infrastructure problems,
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cyber attacks, or business issues becomes impractical. The {xpackml} features
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automatically model the normal behavior of your time series data — learning
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trends, periodicity, and more — in real time to identify anomalies, streamline
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root cause analysis, and reduce false positives.
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{xpackml} runs in and scales with {es}, and includes an
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intuitive UI on the {kib} *Machine Learning* page for creating anomaly detection
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jobs and understanding results.
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You can use the *Job Management* pane to create and manage jobs and their
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associated {dfeeds}:
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[role="screenshot"]
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image::ml/images/ml-job-management.jpg[Job Management]
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You can use the *Settings* pane to add scheduled events to calendars and to
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associate these calendars with your jobs:
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[role="screenshot"]
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image::ml/images/ml-calendar-management.jpg[Calendar Management]
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The *Anomaly Explorer* and *Single Metric Viewer* display the results of your
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{ml} jobs. For example:
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[role="screenshot"]
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image::ml/images/ml-single-metric-viewer.jpg[Single Metric Viewer]
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NOTE: The {xpack} {ml} features in {kib} use pop-ups. You must configure your
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web browser so that it does not block pop-up windows or create an exception for
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your Kibana URL.
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For more information about {ml}, see
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{xpack-ref}/xpack-ml.html[Machine Learning in the Elastic Stack].
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--
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include::creating-jobs.asciidoc[]
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include::job-tips.asciidoc[]
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//TO-DO: Add info about creating watch
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