Description of changes:
This is a step-by-step workshop that walks the users through using Ray on Sagemaker for data preprocessing (including feature-store) using Ray Data AIR, distributed training using xgboost_ray, hyper-parameter optimization, deployment and testing. The final notebook bring all of this together in an MLOps pipeline using Sagemaker pipeline.
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Description of changes: This is a step-by-step workshop that walks the users through using Ray on Sagemaker for data preprocessing (including feature-store) using
Ray DataAIR, distributed training usingxgboost_ray, hyper-parameter optimization, deployment and testing. The final notebook bring all of this together in an MLOps pipeline using Sagemaker pipeline.By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.