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[DOCS] Fixes data type formatting

This commit is contained in:
lcawl 2019-11-26 08:21:39 -08:00
parent 495b543e63
commit a42003b95b
1 changed files with 12 additions and 11 deletions
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docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc
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@ -60,21 +60,22 @@ may contain documents that don't have an {olscore}.
====== {regression-cap}
{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 with two or more values are also ignored. Documents in the `dest` index
that don’t contain a results field are not included in the {reganalysis}.
{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 with two or more values are also ignored. Documents in
the `dest` index that don’t contain a results field are not included in the
{reganalysis}.
====== {classification-cap}
{classification-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 with two or more values are also ignored. Documents in
the `dest` index that don’t contain a results field are not included in the
{classanalysis}.
{classification-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 with two or more values are also ignored.
Documents in the `dest` index that don’t contain a results field are not
included in the {classanalysis}.
{classanalysis-cap} can be improved by mapping ordinal variable values to a
single number. For example, in case of age ranges, you can model the values as