https://github.com/john-hawkins/amazon-sagemaker-kernels
A small collection of custom kernels for running Sagemaker Notebooks an Training Jobs
https://github.com/john-hawkins/amazon-sagemaker-kernels
sagemaker-example sagemaker-studio
Last synced: 5 days ago
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A small collection of custom kernels for running Sagemaker Notebooks an Training Jobs
- Host: GitHub
- URL: https://github.com/john-hawkins/amazon-sagemaker-kernels
- Owner: john-hawkins
- Created: 2021-02-16T23:27:27.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-02-18T06:22:21.000Z (over 5 years ago)
- Last Synced: 2025-10-23T18:48:14.693Z (9 months ago)
- Topics: sagemaker-example, sagemaker-studio
- Language: Jupyter Notebook
- Homepage:
- Size: 29.3 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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](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](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.