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[DOCS] Adds nested objects related inference limitation #791

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19 changes: 15 additions & 4 deletions docs/en/stack/ml/df-analytics/dfanalytics-limitations.asciidoc
Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,18 @@ that don't contain a results field are not included in the {reganalysis}.
=== {classification-cap} field types

{classification-cap} supports fields that have numeric, boolean, text, keyword,
or ip data types. 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 {classanalysis}.
or ip data types. 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
{classanalysis}.

[float]
[[dfa-inference-nested-limitation]]
=== Deeply nested objects affect {infer} performance

If the data that you run inference against contains documents that have a series
of combinations of dot delimited and nested fields (for example:
`{"a.b": "c", "a": {"b": "c"},...}`), the performance of the operation might be
slightly slower. Consider using as simple mapping as possible for the best
performance profile.