How to pass the parameter processingInstanceType to the dataprocessing command?

[AWS-Bassem]

How do you pass the parameter processingInstanceType when using the %neptune-ml magic dataprocessing command to start a processing job?

The Notebooks only have the below code which does not have this parameter.

processing_params = f"""
--config-file-name training-job-configuration.json
--job-id {training_job_name} 
--s3-input-uri {export_results['outputS3Uri']} 
--s3-processed-uri {str(s3_bucket_uri)}/preloading """

%neptune_ml dataprocessing start --wait --store-to processing_results {processing_params}

[austinkline]

Thanks for creating this @AWS-Bassem, we should just be able to add this parameter to the dataprocessing variant of neptune_ml.

linking the sub parser that we use for those parameters for future reference when we pick this up:
https://github.com/aws/graph-notebook/blob/main/src/graph_notebook/magics/ml.py#L64

[michaelnchin]

Hi @AWS-Bassem,

Support for processingInstanceType has been added in #202; you can now pass in this parameter by specifying the --instance-type option; this will be included in the next release.

Closing out this issue as the requested feature has been completed; please feel free to re-open if there are any further questions or concerns.