GetMLModelTransformJob - Neptune Data API


Gets information about a specified model transform job. See Use a trained model to generate new model artifacts.

When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:GetMLModelTransformJobStatus IAM action in that cluster.

Request Syntax

GET /ml/modeltransform/id?neptuneIamRoleArn=neptuneIamRoleArn HTTP/1.1

URI Request Parameters

The request uses the following URI parameters.


The unique identifier of the model-transform job to be reetrieved.

Required: Yes


The ARN of an IAM role that provides Neptune access to SageMaker and Amazon S3 resources. This must be listed in your DB cluster parameter group or an error will occur.

Request Body

The request does not have a request body.

Response Syntax

HTTP/1.1 200 Content-type: application/json { "baseProcessingJob": { "arn": "string", "cloudwatchLogUrl": "string", "failureReason": "string", "name": "string", "outputLocation": "string", "status": "string" }, "id": "string", "models": [ { "arn": "string", "name": "string" } ], "remoteModelTransformJob": { "arn": "string", "cloudwatchLogUrl": "string", "failureReason": "string", "name": "string", "outputLocation": "string", "status": "string" }, "status": "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.


The base data processing job.

Type: MlResourceDefinition object


The unique identifier of the model-transform job to be retrieved.

Type: String


A list of the configuration information for the models being used.

Type: Array of MlConfigDefinition objects


The remote model transform job.

Type: MlResourceDefinition object


The status of the model-transform job.

Type: String


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


Raised when a request is submitted that cannot be processed.

HTTP Status Code: 400


Raised when a request timed out in the client.

HTTP Status Code: 408


Raised when a value in a request field did not satisfy required constraints.

HTTP Status Code: 400


Raised when an argument in a request is not supported.

HTTP Status Code: 400


Raised when an argument in a request has an invalid value.

HTTP Status Code: 400


Raised when a parameter value is not valid.

HTTP Status Code: 400


Raised when a required parameter is missing.

HTTP Status Code: 400


Raised when a specified machine-learning resource could not be found.

HTTP Status Code: 404


Raised when a precondition for processing a request is not satisfied.

HTTP Status Code: 400


Raised when the number of requests being processed exceeds the limit.

HTTP Status Code: 429


Raised when a request attempts to initiate an operation that is not supported.

HTTP Status Code: 400

See Also

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