[DOCS] Moves ml content into user folder (#45482)

docs/user/index.asciidoc

@@ -16,7 +16,7 @@ include::dashboard.asciidoc[]
 
 include::canvas.asciidoc[]
 
-include::{kib-repo-dir}/ml/index.asciidoc[]
+include::ml/index.asciidoc[]
 
 include::{kib-repo-dir}/maps/index.asciidoc[]
 

docs/user/ml/creating-df-kib.asciidoc

@@ -8,7 +8,7 @@ You can create {stack-ov}/ml-dataframes.html[{dataframe-transforms}] in the
 {kib} Machine Learning application.
 
 [role="screenshot"]
-image::ml/images/ml-definepivot.jpg["Defining a {dataframe} pivot"]
+image::user/ml/images/ml-definepivot.jpg["Defining a {dataframe} pivot"]
 
 Select the index pattern or saved search you want to transform. To pivot your 
 data, you must group the data by at least one field and apply at least one 
@@ -22,7 +22,7 @@ for the target index. At the end of the process, a {dataframe} job is created as
 a result. 
 
 [role="screenshot"]
-image::ml/images/ml-jobid.jpg["Job ID and target index"]
+image::user/ml/images/ml-jobid.jpg["Job ID and target index"]
 
 After you create {dataframe} jobs, you can start, stop, and delete them 
 and explore their progress and statistics from the jobs list.

docs/user/ml/creating-jobs.asciidoc

@@ -8,7 +8,7 @@ necessary to perform an analytics task.
 {kib} provides the following wizards to make it easier to create jobs:
 
 [role="screenshot"]
-image::ml/images/ml-create-job.jpg[Create New Job]
+image::user/ml/images/ml-create-job.jpg[Create New Job]
 
 A _single metric job_ is a simple job that contains a single _detector_. A
 detector defines the type of analysis that will occur and which fields to
@@ -31,7 +31,7 @@ for that context. For example, if you
 appears:
 
 [role="screenshot"]
-image::ml/images/ml-data-recognizer-sample.jpg[A screenshot of the {kib} sample data web log job creation wizard]
+image::user/ml/images/ml-data-recognizer-sample.jpg[A screenshot of the {kib} sample data web log job creation wizard]
 
 TIP: Alternatively, after you load a sample data set on the {kib} home page, you can click *View data* > *ML jobs*. There are {anomaly-jobs} for both the sample eCommerce orders data set and the sample web logs data set.
 
@@ -43,19 +43,19 @@ http://nginx.org/[Nginx] and https://httpd.apache.org/[Apache] HTTP servers to
 appear:
 
 [role="screenshot"]
-image::ml/images/ml-data-recognizer-filebeat.jpg[A screenshot of the {filebeat} job creation wizards]
+image::user/ml/images/ml-data-recognizer-filebeat.jpg[A screenshot of the {filebeat} job creation wizards]
 
 If you use {auditbeat-ref}/index.html[{auditbeat}] to audit process
 activity on your systems, the following wizards appear:
 
 [role="screenshot"]
-image::ml/images/ml-data-recognizer-auditbeat.jpg[A screenshot of the {auditbeat} job creation wizards]
+image::user/ml/images/ml-data-recognizer-auditbeat.jpg[A screenshot of the {auditbeat} job creation wizards]
 
 Likewise, if you use the {metricbeat-ref}/metricbeat-module-system.html[{metricbeat} system module] to monitor your servers, the following
 wizards appear:
 
 [role="screenshot"]
-image::ml/images/ml-data-recognizer-metricbeat.jpg[A screenshot of the {metricbeat} job creation wizards]
+image::user/ml/images/ml-data-recognizer-metricbeat.jpg[A screenshot of the {metricbeat} job creation wizards]
 
 These wizards create {anomaly-jobs}, dashboards, searches, and visualizations 
 that are customized to help you analyze your {auditbeat}, {filebeat}, and

docs/user/ml/index.asciidoc

@@ -22,7 +22,7 @@ time field, you can use the *Data Visualizer* to identify possible fields for
 {anomaly-detect}:
 
 [role="screenshot"]
-image::ml/images/ml-data-visualizer-sample.jpg[Data Visualizer for sample flight data]
+image::user/ml/images/ml-data-visualizer-sample.jpg[Data Visualizer for sample flight data]
 
 experimental[] You can also upload a CSV, NDJSON, or log file (up to 100 MB in 
 size). The *Data Visualizer* identifies the file format and field mappings. You 
@@ -33,20 +33,20 @@ If you have a trial or platinum license, you can
 Management* pane: 
 
 [role="screenshot"]
-image::ml/images/ml-job-management.jpg[Job Management]
+image::user/ml/images/ml-job-management.jpg[Job Management]
 
 You can use the *Settings* pane to create and edit 
 {stack-ov}/ml-calendars.html[calendars] and the filters that are used in 
 {stack-ov}/ml-rules.html[custom rules]:
 
 [role="screenshot"]
-image::ml/images/ml-settings.jpg[Calendar Management]
+image::user/ml/images/ml-settings.jpg[Calendar Management]
 
 The *Anomaly Explorer* and *Single Metric Viewer* display the results of your
 {anomaly-jobs}. For example:
 
 [role="screenshot"]
-image::ml/images/ml-single-metric-viewer.jpg[Single Metric Viewer]
+image::user/ml/images/ml-single-metric-viewer.jpg[Single Metric Viewer]
 
 You can optionally add annotations by drag-selecting a period of time in
 the *Single Metric Viewer* and adding a description. For example, you can add an
@@ -54,7 +54,7 @@ explanation for anomalies in that time period or provide notes about what is
 occurring in your operational environment at that time:
 
 [role="screenshot"]
-image::ml/images/ml-annotations-list.jpg[Single Metric Viewer with annotations]
+image::user/ml/images/ml-annotations-list.jpg[Single Metric Viewer with annotations]
 
 In some circumstances, annotations are also added automatically. For example, if
 the {anomaly-job} detects that there is missing data, it annotates the affected