Values_1.CreateTrialComponentResponseSourceCreates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials. Trial components include pre-processing jobs, training jobs, and batch transform jobs. When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK. You can add tags to a trial component and then use the Search API to search for the tags.
type nonrec t = {trialComponentArn : Values_0.TrialComponentArn.t option;The Amazon Resource Name (ARN) of the trial component.
*)}type nonrec error = [ | `ResourceLimitExceeded of Values_0.ResourceLimitExceeded.t| `Unknown_operation_error of string * string option ]val error_of_json :
string ->
Yojson.Safe.t ->
[> `ResourceLimitExceeded of Values_0.ResourceLimitExceeded.t
| `Unknown_operation_error of string * string option ]val error_of_xml :
string ->
Awso.Xml.t ->
[> `ResourceLimitExceeded of Values_0.ResourceLimitExceeded.t
| `Unknown_operation_error of string * string option ]val to_value :
t ->
[> `Structure of (string * [> `String of Values_0.TrialComponentArn.t ]) list ]