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🔵 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
Galactic 1
Galactic 1

Very interesting topic, looking forward to this session 😊

PhilMad
Stellar 6
Stellar 6

Great session 

parfait_ondobo
Stellar 2
Stellar 2

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

ChristophMorgen
Employee
Employee

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
Galactic 1
Galactic 1

Thanks for sharing, Christoph!

SampsonF
Galactic 2
Galactic 2

Thank you Christoph!

lalitmohan
Employee
Employee

Great session @ChristophMorgen 

wgerbert
Stellar 4
Stellar 4

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
Employee
Employee

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

wgerbert
Stellar 4
Stellar 4

Thank you. I will check.