models_predict_operation

Creates, updates, deletes, gets or lists a models_predict_operation resource.

Overview

Name	models_predict_operation
Type	Resource
Id	google.aiplatform.models_predict_operation

Fields

The following fields are returned by SELECT queries:

fetch_predict_operation

Successful response

Name	Datatype	Description
name	string	The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
done	boolean	If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
error	object	The error result of the operation in case of failure or cancellation. (id: GoogleRpcStatus)
metadata	object	Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
response	object	The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

Methods

The following methods are available for this resource:

Name	Accessible by	Required Params	Optional Params	Description
fetch_predict_operation	select	projectsId, locationsId, publishersId, modelsId		Fetch an asynchronous online prediction operation.

Parameters

Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.

Name	Datatype	Description
locationsId	string
modelsId	string
projectsId	string
publishersId	string

SELECT examples

fetch_predict_operation

Fetch an asynchronous online prediction operation.

SELECT
name,
done,
error,
metadata,
response
FROM google.aiplatform.models_predict_operation
WHERE projectsId = '{{ projectsId }}' -- required
AND locationsId = '{{ locationsId }}' -- required
AND publishersId = '{{ publishersId }}' -- required
AND modelsId = '{{ modelsId }}' -- required;