RAPIDS supports hyperparameter optimization solutions based on AWS Sagemaker, Azure ML, Google Cloud AI, Dask ML, and Ray Tune frameworks, so you can easily integrate with whichever framework you use today.
Get the HPO example code
Our GitHub repo contains helper code, sample notebooks, and step-by-step instructions to get you up and running on each HPO platform. See our README
Clone the Repo
Start by cloning the open-source cloud-ml-examples repository from RAPIDSai GitHub.
See our Repo
The repo will walk you through step-by-step instructions for a sample hyperparameter optimization job. To start running your experiments with HPO, navigate to the directory for your framework or CSP, and check out the README.md file there. Walk Through The Notebooks