UpdateClusterSchedulerConfig - Amazon SageMaker

UpdateClusterSchedulerConfig

Update the cluster policy configuration.

Request Syntax

{ "ClusterSchedulerConfigId": "string", "Description": "string", "SchedulerConfig": { "FairShare": "string", "PriorityClasses": [ { "Name": "string", "Weight": number } ] }, "TargetVersion": number }

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.

ClusterSchedulerConfigId

ID of the cluster policy.

Type: String

Length Constraints: Maximum length of 12.

Pattern: ^[a-z0-9]{12}$

Required: Yes

Description

Description of the cluster policy.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: [\p{L}\p{M}\p{Z}\p{S}\p{N}\p{P}]*

Required: No

SchedulerConfig

Cluster policy configuration.

Type: SchedulerConfig object

Required: No

TargetVersion

Target version.

Type: Integer

Required: Yes

Response Syntax

{ "ClusterSchedulerConfigArn": "string", "ClusterSchedulerConfigVersion": number }

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.

ClusterSchedulerConfigArn

ARN of the cluster policy.

Type: String

Length Constraints: Maximum length of 256.

Pattern: ^arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]{9,16}:[0-9]{12}:cluster-scheduler-config/[a-z0-9]{12}$

ClusterSchedulerConfigVersion

Version of the cluster policy.

Type: Integer

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 AWS SDKs, see the following: