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
ML Runtimes versus Legacy Engine
Using Runtime Catalog
Changing Docker credential setting for ML Runtime
Enabling, disabling, and deprecating Runtimes
Using ML Runtimes add-ons
Managing ML Runtimes add-ons
Disabling or deprecating Runtime add-ons
ML Runtime add-on repository files
Uploading ML Runtime add-on repository files using the APIv2 endpoint
Adding Hadoop CLI to ML Runtime Sessions
Adding Spark to ML Runtime Sessions
Turning off ML Runtimes add-ons
Customized Runtimes
Creating Customized ML Runtimes
Create a Dockerfile for the Custom Runtime Image
Metadata for Custom ML Runtimes
Editor Customization
Build the New Docker Image
Distribute the Image
Adding a new customized ML Runtime through the Runtime Catalog
Limitations
Adding Docker registry credentials