UpdateMlflowTrackingServer - Amazon SageMaker
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UpdateMlflowTrackingServer

Updates properties of an existing MLflow Tracking Server.

Request Syntax

{ "ArtifactStoreUri": "string", "AutomaticModelRegistration": boolean, "TrackingServerName": "string", "TrackingServerSize": "string", "WeeklyMaintenanceWindowStart": "string" }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

ArtifactStoreUri

The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow Tracking Server.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: ^(https|s3)://([^/]+)/?(.*)$

Required: No

AutomaticModelRegistration

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

Type: Boolean

Required: No

TrackingServerName

The name of the MLflow Tracking Server to update.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 256.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,255}

Required: Yes

TrackingServerSize

The new size for the MLflow Tracking Server.

Type: String

Valid Values: Small | Medium | Large

Required: No

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.

Type: String

Length Constraints: Maximum length of 9.

Pattern: (Mon|Tue|Wed|Thu|Fri|Sat|Sun):([01]\d|2[0-3]):([0-5]\d)

Required: No

Response Syntax

{ "TrackingServerArn": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

TrackingServerArn

The ARN of the updated MLflow Tracking Server.

Type: String

Length Constraints: Maximum length of 2048.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:mlflow-tracking-server/.*

Errors

For information about the errors that are common to all actions, see Common Errors.

ConflictException

There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.

HTTP Status Code: 400

ResourceLimitExceeded

You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400

ResourceNotFound

Resource being access is not found.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: