Build machine learning models inside SAP HANA.
What it does
Guides developers in building in-database machine learning workflows with SAP HANA's Python client.
When to use it
Use when developing hana-ml workflows, training or scoring models in the database, using AutoML, visualizing results, or troubleshooting connections.
How to use it
It changes how the agent develops SAP HANA machine learning code, emphasizing in-database processing, consistent interfaces, model persistence, and explainability.
What you provide
- An existing project
Uses
SH
Good to know
- cannot be undone: SAP HANA
Latest review
What you need · 3
Requires Python 3.8 or newer.
Uses the hana-ml Python client library to connect to SAP HANA and implement machine learning workflows.
Access · 2
This skill
SAP HANA
Execute
In-database machine learning
Write
Saves and replaces database models (irreversible)
hana-ml
Execute
Installs the hana-ml client