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[DOCS] Adds data frame analytics field type and document limitation #501

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Sep 19, 2019
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[DOCS] Adds data frame analytics field type and document limitation #501

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[DOCS] Adds data frame analytics field type and document limitation.
szabosteve Sep 9, 2019
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Update docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
szabosteve Sep 16, 2019
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Update docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
szabosteve Sep 16, 2019
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Update docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
szabosteve Sep 16, 2019
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Update docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
szabosteve Sep 16, 2019
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Update docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
szabosteve Sep 16, 2019
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Update docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
szabosteve Sep 16, 2019
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Update docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
szabosteve Sep 16, 2019
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[DOCS] Addresses feedback.
szabosteve Sep 16, 2019
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27 changes: 25 additions & 2 deletions docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
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Original file line number Diff line number Diff line change
Expand Up @@ -8,14 +8,14 @@

experimental[]

The following limitations and known problems apply to the 7.3 release of
The following limitations and known problems apply to the {version} release of
the Elastic {dfanalytics} feature:

[float]
[[dfa-ccs-limitations]]
=== {ccs-cap} limitation

{ccs-cap} is not supported in 7.3 for {dfanalytics}.
{ccs-cap} is not supported for {dfanalytics}.

[float]
[[dfa-deletion-limitations]]
Expand Down Expand Up @@ -56,3 +56,26 @@ values will be skipped entirely.
If there are missing values in feature fields (fields that are subjects of the
{dfanalytics}), then the document that contains the fields with the missing
values will be skipped during the analysis.

[float]
[[dfa-od-field-type-docs-limitations]]
==== {oldetection-cap} field type and document limitation

{oldetection-cap} requires numeric or boolean data to analyze. The algorithms
don't support missing values (see also <<dfa-missing-fields-limitations>>),
therefore fields that have data types other than numeric or boolean are ignored.
Documents where included fields contain missing values, null values, or an array
are also ignored. Therefore a destination index may contain documents that don't
have an {olscore}. These documents are still reindexed from the source index to
the destination index, but they are not included in the {oldetection} analysis
and therefore no {olscore} is computed.

[float]
[[dfa-regression-field-type-docs-limitations]]
==== {regression-cap} field type and document limitation

{regression-cap} supports fields that are numeric, boolean, text, keyword and
ip. It is also tolerant of missing values. Fields that are supported are
included in the analysis, other fields are ignored. Documents where included
fields contain an array are also ignored. Documents in the destination index
that don't contain a results field are not included in the {reganalysis}.