AWS::SageMaker::MlflowTrackingServerCreates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. For more information, see [Create an MLflow Tracking Server](https://docs.aws.amazon.com/sagemaker/latest/dg/mlflow-create-tracking-server.html) .
import { CfnMlflowTrackingServer } from 'aws-cdk-lib/aws-sagemaker';Or use the module namespace:
import * as sagemaker from 'aws-cdk-lib/aws-sagemaker';
// sagemaker.CfnMlflowTrackingServerConfiguration passed to the constructor as CfnMlflowTrackingServerProps.
artifactStoreUriRequiredstringThe Amazon S3 URI for MLFlow Tracking Server artifacts.
roleArnRequiredstringThe Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on behalf of the customer.
trackingServerNameRequiredstringThe name of the MLFlow Tracking Server.
automaticModelRegistrationOptionalboolean | IResolvableA flag to enable Automatic SageMaker Model Registration.
mlflowVersionOptionalstringThe MLFlow Version used on the MLFlow Tracking Server.
tagsOptionalCfnTag[]An array of key-value pairs to apply to this resource.
trackingServerSizeOptionalstringThe size of the MLFlow Tracking Server.
weeklyMaintenanceWindowStartOptionalstringThe start of the time window for maintenance of the MLFlow Tracking Server in UTC time.
This L1 construct maps directly to the following CloudFormation resource type.
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