Smaws_Client_SageMaker.CreateJobCreates a model customization job in Amazon SageMaker. A job runs a workload based on the job category and configuration you provide. You specify the job category, a schema-versioned configuration document, and an IAM role that grants Amazon SageMaker permission to access resources on your behalf.
Use the AgentRFT category to fine-tune a model using multi-turn reinforcement learning with reward signals. Use the AgentRFTEvaluation category to evaluate a fine-tuned or base model by running multi-turn rollouts against a held-out prompt dataset and computing metrics such as pass@k and mean reward.
Before creating a job, call ListJobSchemaVersions and DescribeJobSchemaVersion to retrieve the configuration schema for your job category. The JobConfigDocument must conform to the schema specified by JobConfigSchemaVersion.
The following operations are related to CreateJob:
DescribeJobListJobsStopJobDeleteJobListJobSchemaVersionsDescribeJobSchemaVersionval error_to_string :
[ Smaws_Lib.Protocols.AwsJson.error
| `ResourceInUse of Types.resource_in_use
| `ResourceLimitExceeded of Types.resource_limit_exceeded
| `ResourceNotFound of Types.resource_not_found ] ->
stringval request :
'http_type Smaws_Lib.Context.t ->
Types.create_job_request ->
(Types.create_job_response,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceInUse of Types.resource_in_use
| `ResourceLimitExceeded of Types.resource_limit_exceeded
| `ResourceNotFound of Types.resource_not_found ])
Stdlib.resultval request_with_metadata :
'http_type Smaws_Lib.Context.t ->
Types.create_job_request ->
(Types.create_job_response Smaws_Lib.Response.t,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceInUse of Types.resource_in_use
| `ResourceLimitExceeded of Types.resource_limit_exceeded
| `ResourceNotFound of Types.resource_not_found ]
* Smaws_Lib.Response.metadata)
Stdlib.result