sagemaker_update_mlflow_app: Updates an MLflow App

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Updates an MLflow App

Description

Updates an MLflow App.

See https://www.paws-r-sdk.com/docs/sagemaker_update_mlflow_app/ for full documentation.

Usage

sagemaker_update_mlflow_app(
  Arn,
  Name = NULL,
  ArtifactStoreUri = NULL,
  ModelRegistrationMode = NULL,
  WeeklyMaintenanceWindowStart = NULL,
  DefaultDomainIdList = NULL,
  AccountDefaultStatus = NULL
)

Arguments

Arn	[required] The ARN of the MLflow App to update.
Name	The name of the MLflow App to update.
ArtifactStoreUri	The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow App.
ModelRegistrationMode	Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to AutoModelRegistrationEnabled. To disable automatic model registration, set this value to AutoModelRegistrationDisabled. If not specified, AutomaticModelRegistration defaults to AutoModelRegistrationEnabled
WeeklyMaintenanceWindowStart	The new weekly maintenance window start day and time to update. The maintenance window day and time should be in Coordinated Universal Time (UTC) 24-hour standard time. For example: TUE:03:30.
DefaultDomainIdList	List of SageMaker Domain IDs for which this MLflow App is the default.
AccountDefaultStatus	Indicates whether this this MLflow App is the default for the account.

paws.machine.learning documentation built on May 31, 2026, 1:07 a.m.