We have partnered with Cloudera on a joint mission to secure open-source ML runtimes.
Cloudera Machine Learning, Securely Extended
With the ActiveState Platform, you can easily generate ML Runtimes to securely extend your Cloudera Machine Learning (CML) environment with the latest Data Science and Machine Learning tools and frameworks.
How it works
Step One
Sign up for a free ActiveState Platform account using your GitHub credentials, create a new Python project and select Linux as the operating system. Add the cloudera-ml-runtime package to your project to ensure your Python runtime is set up properly. Add any additional dependencies you want to bring to CML.
Step Two
Enable the Docker Image deployment option from the Platforms Modal on your project’s configuration tab. Your ML Runtime will be packaged in a CML-compatible docker image before import.
Step Three
Go to the downloads builds tab and follow the instructions to download your docker image and upload the image to your docker registry.
Step Four
Import your docker image into CML to use your new ML Runtime.
