CmdID

CmdID / aws / aws sagemaker

aws sagemaker create-mlflow-tracking-server

Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. AWS CLI reference

10 options Its page in the AWS CLI reference

Opens CmdID with your command. It is read in your browser and sent nowhere.

Options

10 in the AWS CLI reference
--artifact-store-uriThe S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.
--automatic-model-registrationWhether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
--mlflow-versionThe version of MLflow that the tracking server uses.
--role-arnThe Amazon Resource Name (ARN) for an IAM role in your account that the MLflow Tracking Server uses to access the artifact store in Amazon S3.
--s3-bucket-owner-account-idExpected Amazon Web Services account ID that owns the Amazon S3 bucket for artifact storage.
--s3-bucket-owner-verificationEnable Amazon S3 Ownership checks when interacting with Amazon S3 buckets from a SageMaker Managed MLflow Tracking Server.
--tagsTags consisting of key-value pairs used to manage metadata for the tracking server.
--tracking-server-nameA unique string identifying the tracking server name.
--tracking-server-sizeThe size of the tracking server you want to create.
--weekly-maintenance-window-startThe day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled.