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 toFalse
. If not specified,AutomaticModelRegistration
defaults toFalse
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
orArtifact
.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 AWS SDKs, see the following: