Provides a list of an experiment's properties.
Parameters:
Raises:
Source code in docs_src/capo_sagemaker/_services/sage_maker.py
| def describe_experiment(
self,
*,
config_overrides: Optional[SageMakerClientConfig] = None,
experiment_name: Optional[
"capo_sagemaker.types.experiment_entity_name.ExperimentEntityName"
] = None,
) -> "capo_sagemaker.types.describe_experiment_response.DescribeExperimentResponse":
"""<p>Provides a list of an experiment's properties.</p>
Args:
experiment_name: <p>The name of the experiment to describe.</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.describe_experiment_request.DescribeExperimentRequest]",
) -> OperationResponse[
"capo_sagemaker.types.describe_experiment_response.DescribeExperimentResponse"
]:
import capo_sagemaker._operations.sage_maker.describe_experiment
output, http_response = (
capo_sagemaker._operations.sage_maker.describe_experiment.describe_experiment(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DescribeExperiment")
)
input_: capo_sagemaker.types.describe_experiment_request.DescribeExperimentRequest = {}
if experiment_name is not None:
input_["experiment_name"] = experiment_name
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|