Returns information about a trained model in a collaboration.
Parameters:
-
trained_model_arn
(TrainedModelArn)
–
The Amazon Resource Name (ARN) of the trained model that you want to return information about.
-
collaboration_identifier
(UUID)
–
The collaboration ID that contains the trained model that you want to return information about.
-
version_identifier
(Optional[UUID], default:
None
)
–
The version identifier of the trained model to retrieve. If not specified, the operation returns information about the latest version of the trained model.
Raises:
Source code in docs_src/capo_cleanroomsml/_services/clean_rooms_ml.py
| def get_collaboration_trained_model(
self,
trained_model_arn: "capo_cleanroomsml.types.trained_model_arn.TrainedModelArn",
collaboration_identifier: "capo_cleanroomsml.types.uuid.UUID",
*,
config_overrides: Optional[CleanRoomsMLClientConfig] = None,
version_identifier: Optional["capo_cleanroomsml.types.uuid.UUID"] = None,
) -> "capo_cleanroomsml.types.get_collaboration_trained_model_response.GetCollaborationTrainedModelResponse":
"""<p>Returns information about a trained model in a collaboration.</p>
Args:
trained_model_arn: <p>The Amazon Resource Name (ARN) of the trained model that you want to return information about.</p>
collaboration_identifier: <p>The collaboration ID that contains the trained model that you want to return information about.</p>
version_identifier: <p>The version identifier of the trained model to retrieve. If not specified, the operation returns information about the latest version of the trained model.</p>
Raises:
capo_cleanroomsml.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
capo_cleanroomsml.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource you are requesting does not exist.</p>
capo_cleanroomsml.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
capo_cleanroomsml.errors.validation_exception.ValidationException: <p>The request parameters for this request are incorrect.</p>
capo_cleanroomsml.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_cleanroomsml.types.get_collaboration_trained_model_request.GetCollaborationTrainedModelRequest]",
) -> OperationResponse[
"capo_cleanroomsml.types.get_collaboration_trained_model_response.GetCollaborationTrainedModelResponse"
]:
import capo_cleanroomsml._operations.aws_stark_control_service.get_collaboration_trained_model
output, http_response = (
capo_cleanroomsml._operations.aws_stark_control_service.get_collaboration_trained_model.get_collaboration_trained_model(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetCollaborationTrainedModel")
)
input_: capo_cleanroomsml.types.get_collaboration_trained_model_request.GetCollaborationTrainedModelRequest = {
"trained_model_arn": trained_model_arn,
"collaboration_identifier": collaboration_identifier,
}
if version_identifier is not None:
input_["version_identifier"] = version_identifier
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|