IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Preview data frame analytics API
edit
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Preview data frame analytics API
editPreviews the features used by a data frame analytics config.
Request
editGET _ml/data_frame/analytics/_preview
POST _ml/data_frame/analytics/_preview
GET _ml/data_frame/analytics/<data_frame_analytics_id>/_preview
POST _ml/data_frame/analytics/<data_frame_analytics_id>/_preview
Prerequisites
editRequires the monitor_ml cluster privilege. This privilege is included in the
machine_learning_user built-in role.
Description
editThis API provides preview of the extracted features for a data frame analytics config that either exists already or one that has not been created yet.
Path parameters
edit-
<data_frame_analytics_id> - (Optional, string) Identifier for the data frame analytics job.
Request body
edit-
config -
(Optional, object)
A data frame analytics config as described in Create data frame analytics jobs.
Note that
idanddestdon’t need to be provided in the context of this API.
Response body
editThe API returns a response that contains the following:
-
feature_values - (array) An array of objects that contain feature name and value pairs. The features have been processed and indicate what will be sent to the model for training.
Examples
editPOST _ml/data_frame/analytics/_preview { "config": { "source": { "index": "houses_sold_last_10_yrs" }, "analysis": { "regression": { "dependent_variable": "price" } } } }
The API returns the following results:
{ "feature_values": [ { "number_of_bedrooms": "1", "postcode": "29655", "price": "140.4" }, ... ] }
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