JupyterHub - Release Notes

Version 9.9.0

Release date: March 23, 2021

Highlights:

  • Notebooks users can now access RapidMiner connection metadata
  • Examples added to tutorial notebook on how to use connections

Version 9.8.0

Release date: October 14, 2020

Highlights:

  • Kernels are now centrally managed by RapidMiner Platform Admin. Custom kernel creation is still possible per user.
  • R kernels are now supported in RapidMiner Notebooks! The R environment is also managed centrally via Anaconda on the RapidMiner Platform Admin.
  • Installation and management of new environments is faster and more seamless
  • Support for git-lfs backed (large) files in projects which have this feature enabled
  • Easier navigation back to AI Hub landing page (top left icon)

Version 9.7.0

Release date: Jun 3, 2020

Highlights:

  • Updated to JupyterLab 2.1.2 (new features include notebook cell tags)
  • Added the Git extension, and a custom clone widget allowing to easily select RapidMiner projects
  • Support for RapidMiner projects in the used python-rapidminer library
  • Updated notebook template with examples on how to use and interact with projects

Version 9.6.0

Release date: Feb 25, 2020

This is the first release of JupyterHub as part of the RapidMiner Platform.

Highlights:

  • integrated user authentication using RapidMiner Server user database
  • JupyterLab as main notebook interface, optional Jupyter Notebooks UI also available
  • pre-configured Python kernel including popular packages used for data science projects
  • pre-installed python-rapidminer package for seamless interaction with RapidMiner Server repository
  • notebook template to explain how to use and collaborate
  • basic resource management (limiting CPU and memory for user containers)