AWS services or capabilities described in AWS Documentation may vary by region/location. Click Getting Started with Amazon AWS to see specific differences applicable to the China (Beijing) Region.
Creates 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.
For .NET Core this operation is only available in asynchronous form. Please refer to CreateTrialComponentAsync.
public virtual CreateTrialComponentResponse CreateTrialComponent( CreateTrialComponentRequest request )
Container for the necessary parameters to execute the CreateTrialComponent service method.
|ResourceLimitExceededException||You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.|
Supported in: 4.5, 4.0, 3.5