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 an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. For more information, see Create an MLflow Tracking Server.
For .NET Core this operation is only available in asynchronous form. Please refer to CreateMlflowTrackingServerAsync.
Namespace: Amazon.SageMaker
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z
public virtual CreateMlflowTrackingServerResponse CreateMlflowTrackingServer( CreateMlflowTrackingServerRequest request )
Container for the necessary parameters to execute the CreateMlflowTrackingServer service method.
| Exception | Condition |
|---|---|
| ResourceLimitExceededException | You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created. |
.NET Framework:
Supported in: 4.5 and newer, 3.5