[DOCS] Add experimental tag to data frame analytics APIs (#63153)
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[id="{upid}-{api}"]
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=== Delete {dfanalytics-jobs} API
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experimental::[]
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Delete an existing {dfanalytics-job}.
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The API accepts a +{request}+ object as a request and returns a +{response}+.
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[id="{upid}-{api}"]
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=== Delete trained model API
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experimental[]
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experimental::[]
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Deletes a previously saved trained model.
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The API accepts a +{request}+ object and returns a +{response}+.
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[id="{upid}-{api}"]
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=== Evaluate {dfanalytics} API
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experimental::[]
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Evaluates the {ml} algorithm that ran on a {dataframe}.
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The API accepts an +{request}+ object and returns an +{response}+.
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[id="{upid}-{api}"]
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=== Explain {dfanalytics} API
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experimental::[]
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Explains the following about a {dataframe-analytics-config}:
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* field selection: which fields are included or not in the analysis
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--
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[role="xpack"]
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[id="{upid}-{api}"]
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=== Find File Structure API
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=== Find file structure API
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experimental::[]
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The Find File Structure API can be used to find the structure of a text file
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and other information that will be useful to import its contents to an {es}
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[id="{upid}-{api}"]
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=== Get {dfanalytics-jobs} stats API
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experimental::[]
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Retrieves the operational statistics of one or more {dfanalytics-jobs}.
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The API accepts a +{request}+ object and returns a +{response}+.
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[id="{upid}-{api}"]
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=== Get {dfanalytics-jobs} API
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experimental::[]
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Retrieves one or more {dfanalytics-jobs}.
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The API accepts a +{request}+ object and returns a +{response}+.
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[id="{upid}-{api}"]
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=== Get trained models stats API
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experimental[]
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experimental::[]
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Retrieves one or more trained model statistics.
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The API accepts a +{request}+ object and returns a +{response}+.
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[id="{upid}-{api}"]
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=== Get trained models API
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experimental[]
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experimental::[]
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Retrieves one or more trained models.
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The API accepts a +{request}+ object and returns a +{response}+.
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[id="{upid}-{api}"]
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=== Put {dfanalytics-jobs} API
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experimental::[]
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Creates a new {dfanalytics-job}.
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The API accepts a +{request}+ object as a request and returns a +{response}+.
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[id="{upid}-{api}"]
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=== Put trained model API
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experimental::[]
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Creates a new trained model for inference.
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The API accepts a +{request}+ object as a request and returns a +{response}+.
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[id="{upid}-{api}"]
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=== Start {dfanalytics-jobs} API
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experimental::[]
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Starts an existing {dfanalytics-job}.
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It accepts a +{request}+ object and responds with a +{response}+ object.
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[id="{upid}-{api}"]
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=== Stop {dfanalytics-jobs} API
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experimental::[]
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Stops a running {dfanalytics-job}.
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It accepts a +{request}+ object and responds with a +{response}+ object.
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[id="{upid}-{api}"]
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=== Update {dfanalytics-jobs} API
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experimental::[]
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Updates an existing {dfanalytics-job}.
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The API accepts an +{request}+ object as a request and returns an +{response}+.
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