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UpdateMlflowTrackingServerRequest

Source code in docs_src/capo_sagemaker/types/update_mlflow_tracking_server_request.py
class UpdateMlflowTrackingServerRequest(TypedDict, closed=True):
    tracking_server_name: NotRequired[
        "capo_sagemaker.types.tracking_server_name.TrackingServerName"
    ]
    """<p>The name of the MLflow Tracking Server to update.</p>"""
    artifact_store_uri: NotRequired["capo_sagemaker.types.s3_uri.S3Uri"]
    """<p>The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow Tracking Server.</p>"""
    tracking_server_size: NotRequired[
        "capo_sagemaker.types.tracking_server_size.TrackingServerSize"
    ]
    """<p>The new size for the MLflow Tracking Server.</p>"""
    automatic_model_registration: NotRequired["capo_sagemaker.types.boolean.Boolean"]
    """<p>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 <code>True</code>. To disable automatic model registration, set this value to <code>False</code>. If not specified, <code>AutomaticModelRegistration</code> defaults to <code>False</code> </p>"""
    weekly_maintenance_window_start: NotRequired[
        "capo_sagemaker.types.weekly_maintenance_window_start.WeeklyMaintenanceWindowStart"
    ]
    """<p>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.</p>"""
    s3_bucket_owner_account_id: NotRequired["capo_sagemaker.types.account_id.AccountId"]
    """<p>The new expected Amazon Web Services account ID that owns the Amazon S3 bucket for artifact storage.</p>"""
    s3_bucket_owner_verification: NotRequired["capo_sagemaker.types.boolean.Boolean"]
    """<p>Whether to enable or disable Amazon S3 Bucket Owenrship Verifaction whenever the MLflow Tracking Server interacts with Amazon Amazon S3.</p>"""

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.