This topic lists some limitations associated with custom engines.
Cloudera Machine Learning only supports customized engines that are based on the Cloudera Data Science Workbench base image.
Cloudera Machine Learning does not support creation of custom engines larger than 10 GB.
Cloudera Bug: DSE-4420
Cloudera Machine Learning does not support pulling images from registries that require Docker credentials.
Cloudera Bug: DSE-1521
The contents of certain pre-existing standard directories such as /home/cdsw, /tmp, and so on, cannot be modified while creating customized engines. This means any files saved in these directories will not be accessible from sessions that are running on customized engines.
Workaround: Create a new custom directory in the Dockerfile used to create the customized engine, and save your files to that directory.