Managing ML Runtimes
Managing ML Runtimes
Adding new ML Runtimes
Adding Custom ML Runtimes through the Runtime Catalog
Adding ML Runtimes using Runtime Repo files
Updating ML Runtime images on Cloudera AI installations
ML Runtimes versus Legacy Engine
Using Runtime Catalog
Changing Docker credential setting for ML Runtime
Disabling and Deleting Runtimes
Using ML Runtimes addons
Adding Hadoop CLI to ML Runtime sessions
Adding Spark to ML Runtime Sessions
Turning off ML Runtimes Addons
Customized Runtimes
Creating customized ML Runtimes
Creating a Dockerfile for the custom Runtime Image
Metadata for custom ML Runtimes
Customizing the editor
Building the new Docker Image
Distributing the ML Runtime Image
Adding a new customized ML Runtime through the Runtime Catalog
Limitations to customized ML Runtime images
Adding Docker registry credentials and certificates