Skip to Content
Event Information
Author's profile photo Susen Poppe

Prerequisites for the SAP HANA Cloud Machine Learning Challenge “I quit!” – How to prevent employee churn”

The SAP HANA Cloud Machine Learning challenge “I quit!” – How to prevent employee churn” is coming closer and closer which is why we already want to give you an overview of the pre-requisites you/your system needs to fulfill in order to participate in the challenge.

Prerequisites

  • You will need an SAP HANA Cloud instance. Free tier or trial are not compatible with the challenge contents. If you don’t have an adequate set-up, please reach out to the team to get access to a suitable instance.
  • You need to have a local Python environment (You need to use version 3.4 – 3.8)
  • Access the challenge data set via this Jupyter Notebook example

Support

Prior to the challenge, we are happy to offer “open office hours” where you can join our experts to get your open questions on the prerequisites answered. Please find the slots offered below:

  • November 22, 2022, 5pm CET (11AM EST) | Join here
  • November 24, 2022, 9am CET (5PM KST ) | Join here

Additionally, feel free to reach out to this email address, comment below this blogpost or comment in this discussion thread* in SAP Groups if you have any questions.

Overall Timeline

November 22, 2022 Open Office Hour Prerequisites
November 24, 2022 Open Office Hour Prerequisites
November 28, 2022 Official Challenge Kick-off | Join here
November 29, 2022 (9AM CET) Open Office Hour Challenge (Asia Pacific & European time zone)
December 1, 2022 (5PM CET) Open Office Hour Challenge (European & American time zone)
December 6, 2022(9AM CET) Open Office Hour Challenge (Asia Pacific & European time zone)
December 8, 2022(5PM CET) Open Office Hour Challenge (European & American time zone)
December 13, 2022(9AM CET) Open Office Hour Challenge (Asia Pacific & European time zone)
December 15, 2022(5PM CET) Open Office Hour Challenge (European & American time zone)
December 16, 2022

End of the challenge + Presentation slots for your solution

·       Slot 1 (8AM CET): Asia Pacific & European time zone 

·       Slot 2 (4PM CET): European and American time zone

CW51, 2022 Announcement of the winners
CW4, 2023 Community Call with the winners

Don’t miss out on our SAP Community Call: “I quit!” – How to prevent employee churn! where we will officially kick-off our SAP HANA Cloud machine learning challenge 2022.

Also, don’t forget to tag your fellow machine learning enthusiasts in the comments to make them aware of the challenge.

We look forward to your participation in the challenge!

All the best,

Susen on behalf the SAP HANA Cloud Machine Learning challenge team

 


Do you already want to learn more about SAP HANA Cloud’s machine learning capabilities? Then, check out these resources.

Do you have questions regarding another topic? Ask the SAP Community.

 

* Please note that you will need to separately register for SAP Groups.

 

 

 

 

Assigned Tags

      5 Comments
      You must be Logged on to comment or reply to a post.
      Author's profile photo Philipp Nell
      Philipp Nell

      Hello Susen, Am I correct assuming that the DB access to a 3CPU DWC  License should also work? The scriptserver has been actived in our DWC tenant already by a OSS message. Could you confirm?

      Kind regards, Philipp

      Author's profile photo Christoph Morgen
      Christoph Morgen

      Hi Philipp, that's fine. If you have the DWC DB schema user you are good to go!

      Best regards, Christoph

      Author's profile photo Christoph Morgen
      Christoph Morgen

      Just to add more details regarding using a DWC instance ...

      1. After activation of the script server, in the space management a Database User must be created with the option “Enable Automated Predictive Library (APL) and Predictive Analysis Library (PAL)” activated, see screenshot below
      2. And the IP address of the computer on which the Python code is executed must be added to the allowlist of SAP DWC.
      Author's profile photo Dirk Kemper
      Dirk Kemper

      Hi, does the link to the challenge dataset still need to be added? There is no reference to it yet in the Jupyter Notebooks.

      Regards, Dirk

       

      Author's profile photo Christoph Morgen
      Christoph Morgen

      Hi Dirk,

      we will share the data set when everybody is prepared to start on the 28th.

      You can test uploading any other csv-file before using the example notebook-file.

      Best regards,

      Christoph