Neptune ML management API errors and exceptions - Amazon Neptune
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Neptune ML management API errors and exceptions

All Neptune ML management API exceptions return a 400 HTTP code. After receiving any of these exceptions, the command that generated the exception should not be retried.

  • MissingParameterException   –   Error message:

    Required credentials are missing. Please add IAM role to the cluster or pass as a parameter to this request.

  • InvalidParameterException   –   Error messages:

    • Invalid ML instance type.

    • Invalid ID provided. ID can be 1-48 alphanumeric characters.

    • Invalid ID provided. Must contain only letters, digits, or hyphens.

    • Invalid ID provided. Please check whether a resource with the given ID exists.

    • Another resource with same ID already exists. Please use a new ID.

    • Failed to stop the job because it has already completed or failed.

  • BadRequestException   –   Error messages:

    • Invalid S3 URL or incorrect S3 permissions. Please check your S3 configuration.

    • Provided ModelTraining job has not completed.

    • Provided SageMaker Training job has not completed.

    • Provided MLDataProcessing job is not completed.

    • Provided MLModelTraining job doesn't exist.

    • Provided ModelTransformJob doesn't exist.

    • Unable to find SageMaker resource. Please check your input.