elasticsearch/docs/java-rest/high-level/ml/put-data-frame-analytics.asciidoc

--
:api: put-data-frame-analytics
:request: PutDataFrameAnalyticsRequest
:response: PutDataFrameAnalyticsResponse
--
[id="{upid}-{api}"]
=== Put Data Frame Analytics API

The Put Data Frame Analytics API is used to create a new {dataframe-analytics-config}.
The API accepts a +{request}+ object as a request and returns a +{response}+.

[id="{upid}-{api}-request"]
==== Put Data Frame Analytics Request

A +{request}+ requires the following argument:

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<1> The configuration of the {dataframe-job} to create

[id="{upid}-{api}-config"]
==== Data Frame Analytics Configuration

The `DataFrameAnalyticsConfig` object contains all the details about the {dataframe-job}
configuration and contains the following arguments:

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<1> The {dataframe-analytics-config} id
<2> The source index and query from which to gather data
<3> The destination index
<4> The analysis to be performed
<5> The fields to be included in / excluded from the analysis
<6> The memory limit for the model created as part of the analysis process
<7> Optionally, a human-readable description

[id="{upid}-{api}-query-config"]

==== SourceConfig

The index and the query from which to collect data.

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<1> Constructing a new DataFrameAnalyticsSource
<2> The source index
<3> The query from which to gather the data. If query is not set, a `match_all` query is used by default.

===== QueryConfig

The query with which to select data from the source.

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==== DestinationConfig

The index to which data should be written by the {dataframe-job}.

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<1> Constructing a new DataFrameAnalyticsDest
<2> The destination index

==== Analysis

The analysis to be performed.
Currently, only one analysis is supported: +OutlierDetection+.

+OutlierDetection+ analysis can be created in one of two ways:

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<1> Constructing a new OutlierDetection object with default strategy to determine outliers

or
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<1> Constructing a new OutlierDetection object
<2> The method used to perform the analysis
<3> Number of neighbors taken into account during analysis

==== Analyzed fields

FetchContext object containing fields to be included in / excluded from the analysis

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include::../execution.asciidoc[]

[id="{upid}-{api}-response"]
==== Response

The returned +{response}+ contains the newly created {dataframe-analytics-config}.

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