amazon-sagemaker-kernels

In each directory you will find a Docker file for building a specific Sagemaker Compatible Kernel.

Build R Notebook Kernel for Sagemaker Studio

In the r-kernel example we demonstrate how to use the Sagemaker Studio Image Build CLI to build and register a customer Notebook Kernel from within Sagemaker Studio.

This allows you to run R code inside a Sagemaker Studio Notebook.

Bespoke Python ML Algorithm

In the bespoke-model example we demonstrate how to build a custom ML model that can be executed using a Sagemaker Training Instance. This requires building a container with the required dependencies, as well as conforming the convention required for Sagemaker training jobs.