SageMaker / Client / update_mlflow_app

update_mlflow_app

SageMaker.Client.update_mlflow_app(**kwargs)

Updates an MLflow App.

See also: AWS API Documentation

Request Syntax

response = client.update_mlflow_app(
    Arn='string',
    Name='string',
    ArtifactStoreUri='string',
    ModelRegistrationMode='AutoModelRegistrationEnabled'|'AutoModelRegistrationDisabled',
    WeeklyMaintenanceWindowStart='string',
    DefaultDomainIdList=[
        'string',
    ],
    AccountDefaultStatus='ENABLED'|'DISABLED'
)
Parameters:

  • Arn (string) –

    [REQUIRED]

    The ARN of the MLflow App to update.

  • Name (string) – The name of the MLflow App to update.

  • ArtifactStoreUri (string) – The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow App.

  • ModelRegistrationMode (string) – 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 (string) – 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) –

    List of SageMaker Domain IDs for which this MLflow App is the default.

    • (string) –

  • AccountDefaultStatus (string) – Indicates whether this this MLflow App is the default for the account.

Return type:

dict

Returns:

Response Syntax

{
    'Arn': 'string'
}

Response Structure

  • (dict) –

    • Arn (string) –

      The ARN of the updated MLflow App.

Exceptions