Using R model in SageMaker ML pipelines

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Hi there,

Is it possible to use R model training and serving in SageMaker ML Pipelines? Looked in examples here. And it doesn't look that R is fully supported currently by ML Pipelines. Any examples and success stories are very welcome.

Thanks.

crawlik
asked 2 years ago675 views
1 Answer
2
Accepted Answer

In general it is possible to use the SageMaker python SDK and boto3 using the reticulate package in R, However do not have direct examples of SageMaker Pipelines using R.

It is possible to orchestrate the production pipeline using the R Containers for training and serving and setting up the DAG can be done with reticulate and SageMaker Python SDK and can be achieved using the AWS Step Functions. Please refer to the following example for reference.

https://github.com/aws-samples/reinvent2020-aim404-productionize-r-using-amazon-sagemaker https://www.youtube.com/watch?v=Zpp0nfvqDCA

AWS
answered 2 years ago
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EXPERT
reviewed 18 days ago

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