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[DOCS] Updates ML links (#50387)
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lcawl authored Dec 19, 2019
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2 changes: 1 addition & 1 deletion docs/reference/intro.asciidoc
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Expand Up @@ -168,7 +168,7 @@ embroidery_ needles.
==== But wait, there’s more

Want to automate the analysis of your time-series data? You can use
{stack-ov}/ml-overview.html[machine learning] features to create accurate
{ml-docs}/ml-overview.html[machine learning] features to create accurate
baselines of normal behavior in your data and identify anomalous patterns. With
machine learning, you can detect:

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Expand Up @@ -23,7 +23,7 @@ Deletes a filter.
[[ml-delete-filter-desc]]
==== {api-description-title}

This API deletes a {stack-ov}/ml-rules.html[filter].
This API deletes a {ml-docs}/ml-rules.html[filter].
If a {ml} job references the filter, you cannot delete the filter. You must
update or delete the job before you can delete the filter.

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Expand Up @@ -35,7 +35,7 @@ one or more forecasts before they expire.
NOTE: When you delete a job, its associated forecasts are deleted.

For more information, see
{stack-ov}/ml-overview.html#ml-forecasting[Forecasting the future].
{ml-docs}/ml-overview.html#ml-forecasting[Forecasting the future].

[[ml-delete-forecast-path-parms]]
==== {api-path-parms-title}
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Expand Up @@ -24,4 +24,4 @@ An events resource has the following properties:
in milliseconds since the epoch or ISO 8601 format.

For more information, see
{stack-ov}/ml-calendars.html[Calendars and Scheduled Events].
{ml-docs}/ml-calendars.html[Calendars and scheduled events].
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Expand Up @@ -14,4 +14,4 @@ A filter resource has the following properties:
`items`::
(array of strings) An array of strings which is the filter item list.

For more information, see {stack-ov}/ml-rules.html[Machine learning custom rules].
For more information, see {ml-docs}/ml-rules.html[Machine learning custom rules].
2 changes: 1 addition & 1 deletion docs/reference/ml/anomaly-detection/apis/forecast.asciidoc
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Expand Up @@ -23,7 +23,7 @@ Predicts the future behavior of a time series by using its historical behavior.
[[ml-forecast-desc]]
==== {api-description-title}

See {stack-ov}/ml-overview.html#ml-forecasting[Forecasting the future].
See {ml-docs}/ml-overview.html#ml-forecasting[Forecasting the future].

[NOTE]
===============================
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Expand Up @@ -29,7 +29,7 @@ You can get scheduled event information for a single calendar or for all
calendars by using `_all`.

For more information, see
{stack-ov}/ml-calendars.html[Calendars and scheduled events].
{ml-docs}/ml-calendars.html[Calendars and scheduled events].

[[ml-get-calendar-event-path-parms]]
==== {api-path-parms-title}
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Expand Up @@ -29,7 +29,7 @@ You can get information for a single calendar or for all calendars by using
`_all`.

For more information, see
{stack-ov}/ml-calendars.html[Calendars and scheduled events].
{ml-docs}/ml-calendars.html[Calendars and scheduled events].

[[ml-get-calendar-path-parms]]
==== {api-path-parms-title}
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Expand Up @@ -37,7 +37,7 @@ The anomaly results from a categorization analysis are available as bucket,
influencer, and record results. For example, the results might indicate that
at 16:45 there was an unusual count of log message category 11. You can then
examine the description and examples of that category. For more information, see
{stack-ov}/ml-configuring-categories.html[Categorizing log messages].
{ml-docs}/ml-configuring-categories.html[Categorizing log messages].

[[ml-get-category-path-parms]]
==== {api-path-parms-title}
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Expand Up @@ -26,7 +26,7 @@ Retrieves filters.
==== {api-description-title}

You can get a single filter or all filters. For more information, see
{stack-ov}/ml-rules.html[Machine learning custom rules].
{ml-docs}/ml-rules.html[Machine learning custom rules].

[[ml-get-filter-path-parms]]
==== {api-path-parms-title}
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Expand Up @@ -36,7 +36,7 @@ by specifying `*` as the `<job_id>`.
By default, an overall bucket has a span equal to the largest bucket span of the
specified {anomaly-jobs}. To override that behavior, use the optional
`bucket_span` parameter. To learn more about the concept of buckets, see
{stack-ov}/ml-buckets.html[Buckets].
{ml-docs}/ml-buckets.html[Buckets].

The `overall_score` is calculated by combining the scores of all the buckets
within the overall bucket span. First, the maximum `anomaly_score` per
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Expand Up @@ -23,7 +23,7 @@ Posts scheduled events in a calendar.
[[ml-post-calendar-event-desc]]
==== {api-description-title}

This API accepts a list of {stack-ov}/ml-calendars.html[scheduled events], each
This API accepts a list of {ml-docs}/ml-calendars.html[scheduled events], each
of which must have a start time, end time, and description.

[[ml-post-calendar-event-path-parms]]
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Expand Up @@ -24,7 +24,7 @@ Instantiates a calendar.
==== {api-description-title}

For more information, see
{stack-ov}/ml-calendars.html[Calendars and scheduled events].
{ml-docs}/ml-calendars.html[Calendars and scheduled events].

[[ml-put-calendar-path-parms]]
==== {api-path-parms-title}
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Expand Up @@ -23,7 +23,7 @@ Instantiates a filter.
[[ml-put-filter-desc]]
==== {api-description-title}

A {stack-ov}/ml-rules.html[filter] contains a list of strings.
A {ml-docs}/ml-rules.html[filter] contains a list of strings.
It can be used by one or more jobs. Specifically, filters are referenced in
the `custom_rules` property of detector configuration objects.

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22 changes: 11 additions & 11 deletions docs/reference/ml/ml-shared.asciidoc
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Expand Up @@ -2,7 +2,7 @@ tag::aggregations[]
If set, the {dfeed} performs aggregation searches. Support for aggregations is
limited and should only be used with low cardinality data. For more information,
see
{stack-ov}/ml-configuring-aggregation.html[Aggregating data for faster performance].
{ml-docs}/ml-configuring-aggregation.html[Aggregating data for faster performance].
end::aggregations[]

tag::allow-lazy-open[]
Expand Down Expand Up @@ -203,7 +203,7 @@ at the same time as `categorization_filters`. The categorization analyzer
specifies how the `categorization_field` is interpreted by the categorization
process. The syntax is very similar to that used to define the `analyzer` in the
<<indices-analyze,Analyze endpoint>>. For more information, see
{stack-ov}/ml-configuring-categories.html[Categorizing log messages].
{ml-docs}/ml-configuring-categories.html[Categorizing log messages].
+
--
The `categorization_analyzer` field can be specified either as a string or as an
Expand Down Expand Up @@ -234,7 +234,7 @@ set this value to `0`, no examples are stored.
--
NOTE: The `categorization_examples_limit` only applies to analysis that uses
categorization. For more information, see
{stack-ov}/ml-configuring-categories.html[Categorizing log messages].
{ml-docs}/ml-configuring-categories.html[Categorizing log messages].

--
end::categorization-examples-limit[]
Expand All @@ -244,7 +244,7 @@ If this property is specified, the values of the specified field will be
categorized. The resulting categories must be used in a detector by setting
`by_field_name`, `over_field_name`, or `partition_field_name` to the keyword
`mlcategory`. For more information, see
{stack-ov}/ml-configuring-categories.html[Categorizing log messages].
{ml-docs}/ml-configuring-categories.html[Categorizing log messages].
end::categorization-field-name[]

tag::categorization-filters[]
Expand All @@ -254,7 +254,7 @@ are used to filter out matching sequences from the categorization field values.
You can use this functionality to fine tune the categorization by excluding
sequences from consideration when categories are defined. For example, you can
exclude SQL statements that appear in your log files. For more information, see
{stack-ov}/ml-configuring-categories.html[Categorizing log messages]. This
{ml-docs}/ml-configuring-categories.html[Categorizing log messages]. This
property cannot be used at the same time as `categorization_analyzer`. If you
only want to define simple regular expression filters that are applied prior to
tokenization, setting this property is the easiest method. If you also want to
Expand Down Expand Up @@ -299,7 +299,7 @@ tag::custom-rules[]
An array of custom rule objects, which enable you to customize the way detectors
operate. For example, a rule may dictate to the detector conditions under which
results should be skipped. For more examples, see
{stack-ov}/ml-configuring-detector-custom-rules.html[Configuring detector custom rules].
{ml-docs}/ml-configuring-detector-custom-rules.html[Customizing detectors with custom rules].
A custom rule has the following properties:
+
--
Expand Down Expand Up @@ -363,7 +363,7 @@ end::custom-rules[]
tag::custom-settings[]
Advanced configuration option. Contains custom meta data about the job. For
example, it can contain custom URL information as shown in
{stack-ov}/ml-configuring-url.html[Adding custom URLs to {ml} results].
{ml-docs}/ml-configuring-url.html[Adding custom URLs to {ml} results].
end::custom-settings[]

tag::data-description[]
Expand Down Expand Up @@ -503,7 +503,7 @@ an effort to determine whether any data has subsequently been added to the index
If missing data is found, it is a good indication that the `query_delay` option
is set too low and the data is being indexed after the {dfeed} has passed that
moment in time. See
{stack-ov}/ml-delayed-data-detection.html[Working with delayed data].
{ml-docs}/ml-delayed-data-detection.html[Working with delayed data].

This check runs only on real-time {dfeeds}.

Expand Down Expand Up @@ -692,7 +692,7 @@ end::from[]
tag::function[]
The analysis function that is used. For example, `count`, `rare`, `mean`, `min`,
`max`, and `sum`. For more information, see
{stack-ov}/ml-functions.html[Function reference].
{ml-docs}/ml-functions.html[Function reference].
end::function[]

tag::gamma[]
Expand Down Expand Up @@ -979,7 +979,7 @@ tag::over-field-name[]
The field used to split the data. In particular, this property is used for
analyzing the splits with respect to the history of all splits. It is used for
finding unusual values in the population of all splits. For more information,
see {stack-ov}/ml-configuring-pop.html[Performing population analysis].
see {ml-docs}/ml-configuring-pop.html[Performing population analysis].
end::over-field-name[]

tag::outlier-fraction[]
Expand Down Expand Up @@ -1049,7 +1049,7 @@ tag::script-fields[]
Specifies scripts that evaluate custom expressions and returns script fields to
the {dfeed}. The detector configuration objects in a job can contain functions
that use these script fields. For more information, see
{stack-ov}/ml-configuring-transform.html[Transforming data with script fields]
{ml-docs}/ml-configuring-transform.html[Transforming data with script fields]
and <<request-body-search-script-fields,Script fields>>.
end::script-fields[]

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2 changes: 1 addition & 1 deletion docs/reference/modules/node.asciidoc
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Expand Up @@ -46,7 +46,7 @@ A node that has `xpack.ml.enabled` and `node.ml` set to `true`, which is the
default behavior in the {es} {default-dist}. If you want to use {ml-features},
there must be at least one {ml} node in your cluster. For more information about
{ml-features}, see
{stack-ov}/xpack-ml.html[Machine learning in the {stack}].
{ml-docs}/xpack-ml.html[Machine learning in the {stack}].
+
IMPORTANT: If you use the {oss-dist}, do not set `node.ml`. Otherwise, the node
fails to start.
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6 changes: 3 additions & 3 deletions docs/reference/redirects.asciidoc
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Expand Up @@ -631,19 +631,19 @@ more details.
=== Calendar resources

See <<ml-get-calendar>> and
{stack-ov}/ml-calendars.html[Calendars and scheduled events].
{ml-docs}/ml-calendars.html[Calendars and scheduled events].

[role="exclude",id="ml-filter-resource"]
=== Filter resources

See <<ml-get-filter>> and
{stack-ov}/ml-rules.html[Machine learning custom rules].
{ml-docs}/ml-rules.html[Machine learning custom rules].

[role="exclude",id="ml-event-resource"]
=== Scheduled event resources

See <<ml-get-calendar-event>> and
{stack-ov}/ml-calendars.html[Calendars and scheduled events].
{ml-docs}/ml-calendars.html[Calendars and scheduled events].

[role="exclude",id="index-apis"]
=== Index APIs
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2 changes: 1 addition & 1 deletion docs/reference/setup/restart-cluster.asciidoc
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Expand Up @@ -55,7 +55,7 @@ was automatically saved. This option avoids the overhead of managing active jobs
during the shutdown and is faster than explicitly stopping {dfeeds} and closing
jobs.

* {stack-ov}/stopping-ml.html[Stop all {dfeeds} and close all jobs]. This option
* {ml-docs}/stopping-ml.html[Stop all {dfeeds} and close all jobs]. This option
saves the model state at the time of closure. When you reopen the jobs after the
cluster restart, they use the exact same model. However, saving the latest model
state takes longer than using upgrade mode, especially if you have a lot of jobs
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2 changes: 1 addition & 1 deletion docs/reference/upgrade/close-ml.asciidoc
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Expand Up @@ -34,7 +34,7 @@ state that was automatically saved. This option avoids the overhead of managing
active jobs during the upgrade and is faster than explicitly stopping {dfeeds}
and closing jobs.
* {stack-ov}/stopping-ml.html[Stop all {dfeeds} and close all jobs]. This option
* {ml-docs}/stopping-ml.html[Stop all {dfeeds} and close all jobs]. This option
saves the model state at the time of closure. When you reopen the jobs after the
upgrade, they use the exact same model. However, saving the latest model state
takes longer than using upgrade mode, especially if you have a lot of jobs or
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4 changes: 2 additions & 2 deletions docs/reference/upgrade/reindex_upgrade.asciidoc
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Expand Up @@ -62,7 +62,7 @@ If you use {ml-features} and your {ml} indices were created before
{prev-major-version}, you must temporarily halt the tasks associated with your
{ml} jobs and {dfeeds} and prevent new jobs from opening during the reindex. Use
the <<ml-set-upgrade-mode,set upgrade mode API>> or
{stack-ov}/stopping-ml.html[stop all {dfeeds} and close all {ml} jobs].
{ml-docs}/stopping-ml.html[stop all {dfeeds} and close all {ml} jobs].
If you use {es} {security-features}, before you reindex `.security*` internal
indices it is a good idea to create a temporary superuser account in the `file`
Expand Down Expand Up @@ -121,7 +121,7 @@ from a 6.6 or later cluster, it is a good idea to temporarily halt the tasks
associated with your {ml} jobs and {dfeeds} to prevent inconsistencies between
different {ml} indices that are reindexed at slightly different times. Use the
<<ml-set-upgrade-mode,set upgrade mode API>> or
{stack-ov}/stopping-ml.html[stop all {dfeeds} and close all {ml} jobs].
{ml-docs}/stopping-ml.html[stop all {dfeeds} and close all {ml} jobs].
endif::include-xpack[]
=============================================
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