Conference:  OpenAI + Data Forum 2022

Authors: Patrick Titzler

2022-06-21

The presentation discusses the development of a library pipeline feature for Jupyter notebooks to enable the creation of machine learning workflows. The feature includes a visual pipeline editor, CLI, and support for three different runtime environments. The goal is to make it easier to break down large notebooks into smaller ones and automate the execution of pipelines in a production environment.

• Library pipeline feature for Jupyter notebooks enables the creation of machine learning workflows
• Includes a visual pipeline editor, CLI, and support for three different runtime environments
• Goal is to make it easier to break down large notebooks into smaller ones and automate the execution of pipelines in a production environment