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[7.x] Moves ML content to anomaly-detection folder (#430) #433

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Jul 18, 2019
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2 changes: 1 addition & 1 deletion docs/en/stack/data-frames/dataframes.asciidoc
Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@ a sum aggregation on the ordered quantity. The result is a {dataframe} pivot tha
shows the number of sold items in every product category in the last year.

[role="screenshot"]
image::ml/images/ml-dataframepivot.jpg["Example of a data frame pivot in {kib}"]
image::images/ml-dataframepivot.jpg["Example of a data frame pivot in {kib}"]

IMPORTANT: The {dataframe-transform-cap} leaves your source index intact. A new
index will be created dedicated to the {dataframe}.
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2 changes: 1 addition & 1 deletion docs/en/stack/index.asciidoc
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Expand Up @@ -29,7 +29,7 @@ include::{xes-repo-dir}/watcher/index.asciidoc[]

include::data-frames/index.asciidoc[]

include::ml/index.asciidoc[]
include::ml/anomaly-detection/index.asciidoc[]

include::ml/df-analytics/index.asciidoc[]

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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ actual data values, the bounds for the expected values, and the anomalies that
occur outside these bounds.

[role="screenshot"]
image::ml/images/ml-gs-job-analysis.jpg["Example screenshot from the Machine Learning Single Metric Viewer in Kibana"]
image::images/ml-gs-job-analysis.jpg["Example screenshot from the Machine Learning Single Metric Viewer in Kibana"]

//For a more detailed walk-through of {ml-features}, see
//<<ml-getting-started>>.
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ high multi-bucket impact are depicted in the *Anomaly Explorer* and the
*Single Metric Viewer* with a cross symbol instead of a dot. For example:

[role="screenshot"]
image::ml/images/multibucketanalysis.jpg["Examples of anomalies with multi-bucket impact in {kib}"]
image::images/multibucketanalysis.jpg["Examples of anomalies with multi-bucket impact in {kib}"]

In this example, you can see that some of the anomalies fall within the shaded
blue area, which represents the bounds for the expected values. The bounds are
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ that you created at different times. You can create a forecast by using the


[role="screenshot"]
image::ml/images/ml-gs-job-forecast.jpg["Example screenshot from the Machine Learning Single Metric Viewer in Kibana"]
image::images/ml-gs-job-forecast.jpg["Example screenshot from the Machine Learning Single Metric Viewer in Kibana"]

The yellow line in the chart represents the predicted data values. The
shaded yellow area represents the bounds for the predicted values, which also
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Expand Up @@ -22,13 +22,13 @@ include::overview.asciidoc[]

//include::getting-started.asciidoc[]

include::{es-repo-dir}/ml/configuring.asciidoc[]
include::{es-repo-dir}/ml/anomaly-detection/configuring.asciidoc[]

include::{es-repo-dir}/ml/stopping-ml.asciidoc[]
include::{es-repo-dir}/ml/anomaly-detection/stopping-ml.asciidoc[]

include::api-quickref.asciidoc[]

include::{es-repo-dir}/ml/functions.asciidoc[]
include::{es-repo-dir}/ml/anomaly-detection/functions.asciidoc[]

include::troubleshooting.asciidoc[]

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