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πŸ”΅ Build your Machine Learning Scenario for your SAP HANA Cloud application from Python

Devtoberfest

Learn about how the Python Machine Learning client for SAP HANA can be used to build classification, regression, or time series forecasting scenarios using the Predictive Analysis Library (PAL) or the Automated Predictive Library (APL).

See how the latest Machine Learning AutoML capabilities can help to build even better models in less time.


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12 Comments
Daniel_Enderli
Active Participant
β€Ž2022 Oct 01 8:45 PM

Very interesting topic, looking forward to this session πŸ˜Š

Phil_from_Madrid
Participant
β€Ž2022 Oct 05 8:35 AM

Great session 

former_member17227
Newcomer
β€Ž2022 Oct 05 9:03 AM

Can we have the slide presentation and the gitbub repository link?

ChristophMorgen
Product and Topic Expert
Product and Topic Expert
β€Ž2022 Oct 05 9:54 AM

This is the reference blog Develop a HANA Machine Learning SAP BTP CAP Application | SAP Blogs and the samples repo SAP-samples/hana-ml-samples: BTP APP

Best regards, Christoph

_Satish_
Participant
β€Ž2022 Oct 05 3:53 PM

Thanks for sharing, Christoph!

SampsonF
Explorer
β€Ž2022 Oct 05 9:03 AM

Thank you Christoph!

lalitmohan
Product and Topic Expert
Product and Topic Expert
β€Ž2022 Oct 05 9:04 AM

Great session @ChristophMorgen 

W_Gerbert
Explorer
β€Ž2022 Oct 05 9:06 AM

Hello and thank you for the interesting session. 
We are currently working on an on-premise R3 (7.5) System with a HANA Database. Is it possible for us to use the APL Library as well and what would be a good starting point?

br
Werner

ChristophMorgen
Product and Topic Expert
Product and Topic Expert
β€Ž2022 Oct 05 9:47 AM

This depends on license and HANA version you are running, APL is included with SAP HANA 2 SPS04 and higher. How you can leverage APL would then depend if you have runtime / full-use HANA license.
On APL there are many blogs, this one maybe a good starting point to use APL from Python against a HANA (Cloud) instance.

Best regards,

Christoph

W_Gerbert
Explorer
β€Ž2022 Oct 05 9:57 AM

Thank you. I will check.