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@ -50,3 +50,8 @@ This page has moved. Please see {stack-ov}/create-jobs.html[Creating {anomaly-jo
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== Machine learning job tips
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This page has moved. Please see {stack-ov}/create-jobs.html#job-tips[Machine learning job tips].
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[role="exclude",id="extend"]
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== Extend your use case
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This page was deleted. See <<xpack-graph>> and <<xpack-ml>>.
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@ -1,15 +0,0 @@
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[[extend]]
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= Extend your use case
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[partintro]
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--
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//TBD
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* <<xpack-graph>>
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* <<xpack-ml>>
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--
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include::graph/index.asciidoc[]
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include::ml/index.asciidoc[]
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@ -1,6 +1,6 @@
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[role="xpack"]
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[[graph-configuration]]
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=== Configuring Graph
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== Configuring Graph
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When a user saves a graph workspace in Kibana, it is stored in the `.kibana`
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index along with other saved objects like visualizations and dashboards.
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@ -57,9 +57,9 @@ is displayed. For more information on granting access to Kibana, see
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[role="screenshot"]
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image::user/graph/images/graph-read-only-badge.png[Example of Graph's read only access indicator in Kibana's header]
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[float]
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[discrete]
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[[disable-drill-down]]
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==== Disabling drill down configuration
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=== Disabling drill down configuration
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By default, users can configure _drill down_ URLs to display additional
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information about a selected vertex in a new browser window. For example,
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@ -1,6 +1,6 @@
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[role="xpack"]
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[[graph-getting-started]]
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=== Using Graph
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== Using Graph
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Graph is automatically enabled in {es} and {kib}.
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@ -1,7 +1,9 @@
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[role="xpack"]
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[[xpack-graph]]
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== Graph data connections
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= Graph data connections
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[partintro]
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--
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The {graph-features} enable you to discover how items in an
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Elasticsearch index are related. You can explore the connections between
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indexed terms and see which connections are the most meaningful. This can be
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@ -17,9 +19,9 @@ and an interactive graph visualization tool for Kibana. Both work out of the
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box with existing Elasticsearch indices--you don't need to store any
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additional data to use these features.
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[discrete]
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[[how-graph-works]]
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[float]
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=== How Graph works
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== How Graph works
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The graph API provides an alternative way to extract and summarize information
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about the documents and terms in your Elasticsearch index. A _graph_ is really
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just a network of related items. In our case, this means a network of related
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@ -62,6 +64,7 @@ multi-node clusters and scales with your Elasticsearch deployment.
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Advanced options let you control how your data is sampled and summarized.
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You can also set timeouts to prevent graph queries from adversely
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affecting the cluster.
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--
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include::getting-started.asciidoc[]
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@ -1,12 +1,12 @@
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[role="xpack"]
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[[graph-limitations]]
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=== Graph limitations
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== Graph limitations
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++++
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<titleabbrev>Limitations</titleabbrev>
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++++
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[float]
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==== Limited support for multiple indices
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[discrete]
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=== Limited support for multiple indices
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The graph API can explore multiple indices, types, or aliases in a
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single API request, but the assumption is that each "hop" it performs
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is querying the same set of indices. Currently, it is not possible to
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[role="xpack"]
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[[graph-troubleshooting]]
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=== Graph Troubleshooting
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== Graph Troubleshooting
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++++
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<titleabbrev>Troubleshooting</titleabbrev>
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++++
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[float]
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==== Why are results missing?
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[discrete]
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=== Why are results missing?
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The default settings in Graph API requests are configured to tune out noisy
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results by using the following strategies:
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* Set the `min_doc_count` for your vertices to 1 to ensure only one document is
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required to assert a relationship.
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[float]
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==== What can I do to to improve performance?
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[discrete]
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=== What can I do to to improve performance?
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With the default setting of `use_significance` set to `true`, the Graph API
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performs a background frequency check of the terms it discovers as part of
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@ -16,7 +16,9 @@ include::dashboard.asciidoc[]
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include::canvas.asciidoc[]
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include::extend.asciidoc[]
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include::graph/index.asciidoc[]
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include::ml/index.asciidoc[]
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include::{kib-repo-dir}/maps/index.asciidoc[]
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[role="xpack"]
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[[xpack-ml]]
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== {ml-cap}
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= {ml-cap}
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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. Elastic {ml-features}
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For more information, see {ref}/security-privileges.html[Security privileges]
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and {ref}/built-in-roles.html[Built-in roles].
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--
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[float]
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[[xpack-ml-anomalies]]
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=== {anomaly-detect-cap}
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== {anomaly-detect-cap}
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The Elastic {ml} {anomaly-detect} feature automatically models the normal
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behavior of your time series data — learning trends, periodicity, and more — in
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https://www.elastic.co/what-is/elastic-stack-machine-learning[{ml-cap} in the {stack}]
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and {stack-ov}/xpack-ml.html[{ml-cap} {anomaly-detect}].
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[float]
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[[xpack-ml-dfanalytics]]
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=== {dfanalytics-cap}
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== {dfanalytics-cap}
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The Elastic {ml} {dfanalytics} feature enables you to analyze your data using
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{oldetection} and {regression} algorithms and generate new indices that contain
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image::user/ml/images/outliers.jpg[{oldetection-cap} results in {kib}]
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For more information about the {dfanalytics} feature, see
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{stack-ov}/ml-dfanalytics.html[{ml-cap} {dfanalytics}].
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{stack-ov}/ml-dfanalytics.html[{ml-cap} {dfanalytics}].
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Loading…
Reference in a new issue