By using AWS re:Post, you agree to the Terms of Use

Using R model in SageMaker ML pipelines

0

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.

1 Answer
1
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

answered 8 months ago

You are not logged in. Log in to post an answer.

A good answer clearly answers the question and provides constructive feedback and encourages professional growth in the question asker.

Guidelines for Answering Questions