UpdateMlflowTrackingServerRequest
¶
Source code in docs_src/capo_sagemaker/types/update_mlflow_tracking_server_request.py
artifact_store_uri
instance-attribute
¶
artifact_store_uri: NotRequired[S3Uri]
The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow Tracking Server.
automatic_model_registration
instance-attribute
¶
automatic_model_registration: NotRequired[Boolean]
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 True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False
s3_bucket_owner_account_id
instance-attribute
¶
s3_bucket_owner_account_id: NotRequired[AccountId]
The new expected Amazon Web Services account ID that owns the Amazon S3 bucket for artifact storage.
s3_bucket_owner_verification
instance-attribute
¶
s3_bucket_owner_verification: NotRequired[Boolean]
Whether to enable or disable Amazon S3 Bucket Owenrship Verifaction whenever the MLflow Tracking Server interacts with Amazon Amazon S3.
tracking_server_name
instance-attribute
¶
tracking_server_name: NotRequired[TrackingServerName]
The name of the MLflow Tracking Server to update.
tracking_server_size
instance-attribute
¶
tracking_server_size: NotRequired[TrackingServerSize]
The new size for the MLflow Tracking Server.
weekly_maintenance_window_start
instance-attribute
¶
weekly_maintenance_window_start: NotRequired[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.