--
:api: explain-data-frame-analytics
:request: ExplainDataFrameAnalyticsRequest
:response: ExplainDataFrameAnalyticsResponse
--
[role="xpack"]
[id="{upid}-{api}"]
=== Explain {dfanalytics} API

experimental::[]

Explains the following about a {dataframe-analytics-config}:

* field selection: which fields are included or not in the analysis
* memory estimation: how much memory is estimated to be required. The estimate can be used when deciding the appropriate value for `model_memory_limit` setting later on.

The API accepts an +{request}+ object and returns an +{response}+.

[id="{upid}-{api}-request"]
==== Explain {dfanalytics} request

The request can be constructed with the id of an existing {dfanalytics-job}.

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-id-request]
--------------------------------------------------
<1> Constructing a new request with the id of an existing {dfanalytics-job}

It can also be constructed with a {dataframe-analytics-config} to explain it before creating it.

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-config-request]
--------------------------------------------------
<1> Constructing a new request containing a {dataframe-analytics-config}

include::../execution.asciidoc[]

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

The returned +{response}+ contains the field selection and the memory usage estimation.

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-response]
--------------------------------------------------
<1> A list where each item explains whether a field was selected for analysis or not
<2> The memory estimation for the {dfanalytics-job}