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CmdID / aws / aws sagemaker

aws sagemaker create-mlflow-app

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

9 options Its page in the AWS CLI reference

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Options

9 in the AWS CLI reference
--account-default-statusIndicates whether this MLflow app is the default for the entire account.
--artifact-store-uriThe S3 URI for a general purpose bucket to use as the MLflow App artifact store.
--default-domain-id-listList of SageMaker domain IDs for which this MLflow App is used as the default.
--kms-key-idThe ID of the Amazon Web Services KMS key used to encrypt the data at rest associated with the MLflow App.
--model-registration-modeWhether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
--nameA string identifying the MLflow app name.
--role-arnThe Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
--tagsTags consisting of key-value pairs used to manage metadata for the MLflow App.
--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.