Does upgrading a workbench app in Machine learning upgrades all apps?

Hi Rahul,

My understanding is anything that was part of the initial package is upgraded and anything that was created manually will remain. Now if you have made changes to the default package the same will be upgraded and any changes made will be lost, however there is no proper documentation that I could find on the same.

Would suggest you to raise a ticket with Celonis to get a better understanding of the same.

Hi Abhishek,

Thank you .

What i mean is, just the upgrade of pyclonis to the workbench which i have created and to the workbench which i have created (which shouldnt be upgraded). Below is a screenshot .

In Below screenshot, 1 should be upgraded and 2 shouldnt be. But all the apps have a upgrade option

Thank you

My experience:

If you update a workbench app will affect only that app, not the others. In fact I have some environment with one app upgraded and the rest not.

If you upgrade python, or any package, it will affect any Jupyter notebook that will run in that app

Hi Guillermo,

Thank you for your comments.

Can you please provide any documentation from celonis that provides support for this?

I just tried it and checked afterwards.

But here I found some bits of info

https://docs.celonis.com/en/best-practices-for-ml-workbench.html#UUID-2e9bd67b-c4f3-5848-8a86-5c224109c2f6_id_Goodtoknow-UpgradingaMLWB

HTH

Hi ,

Thank you so much for this.