sap-hana-ml

Build machine learning models directly inside SAP HANA by using the hana-ml library to apply PAL and APL algorithms for in-database predictive analytics and real-time scoring without moving data.

PAL and APL are algorithm libraries within the hana-ml package for in-database ML, where PAL provides foundational machine learning algorithms and APL offers automated predictive capabilities to streamline SAP HANA modeling workflows.

Yes, you can run AutoML workflows on SAP HANA data using the hana-ml library to automate algorithm selection and parameter tuning, enabling efficient model development with integrated visualization for interpretation directly within the database.

Yes, using the hana-ml package requires an active SAP HANA connection established via ConnectionContext to execute DataFrame operations, train models with PAL or APL, and perform in-database scoring.

You can persist and visualize machine learning models in SAP HANA using the hana-ml library, which supports model persistence to save trained states and provides integrated visualization tools to interpret results and DataFrame workflows.