Deletes a training session. You must stop a running session before deleting it. Use the StopTrainingSession operation to stop the session first.
The following operations are related to DeleteTrainingSession:
-
CreateTrainingSession
-
DescribeTrainingSession
-
StopTrainingSession
Parameters:
Raises:
Source code in docs_src/capo_sagemaker/_services/sage_maker.py
| def delete_training_session(
self,
*,
config_overrides: Optional[SageMakerClientConfig] = None,
training_session_name: Optional[
"capo_sagemaker.types.training_session_name.TrainingSessionName"
] = None,
) -> "capo_sagemaker.types.delete_training_session_response.DeleteTrainingSessionResponse":
"""<p>Deletes a training session. You must stop a running session before deleting it. Use the <code>StopTrainingSession</code> operation to stop the session first.</p> <p>The following operations are related to <code>DeleteTrainingSession</code>:</p> <ul> <li> <p> <code>CreateTrainingSession</code> </p> </li> <li> <p> <code>DescribeTrainingSession</code> </p> </li> <li> <p> <code>StopTrainingSession</code> </p> </li> </ul>
Args:
training_session_name: <p>The name of the training session to delete.</p>
Raises:
capo_sagemaker.errors.resource_not_found.ResourceNotFound: <p>Resource being access is not found.</p>
capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_sagemaker.types.delete_training_session_request.DeleteTrainingSessionRequest]",
) -> OperationResponse[
"capo_sagemaker.types.delete_training_session_response.DeleteTrainingSessionResponse"
]:
import capo_sagemaker._operations.sage_maker.delete_training_session
output, http_response = (
capo_sagemaker._operations.sage_maker.delete_training_session.delete_training_session(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteTrainingSession")
)
input_: capo_sagemaker.types.delete_training_session_request.DeleteTrainingSessionRequest = {}
if training_session_name is not None:
input_["training_session_name"] = training_session_name
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|