This topic addresses customizing a third-party editor to work with ML Runtimes.
For a third-party editor to work with ML Runtimes, you must provide a starting script. For example:
#! /bin/bash "$ZEPPELIN_HOME/bin/zeppelin.sh"
For Cloudera Data Science Workbench to interpret this as an editor startup script, you must create a symlink to the editor as/usr/local/bin/ml-runtime-editor. This will be created in the Dockerfile of the customized runtime.