Python Machine Learning Client for SAP HANA (hana-ml)
Tutorials that teach this
- Tutorial Create Graph Workspace Visualization in SAP HANA Cloud, SAP HANA Database
- Tutorial Analyze Graph Workspace in SAP HANA Cloud, SAP HANA Database
- Tutorial Retrieval Augmented Generation using generative-ai-hub-sdk and HANA vector search
- Tutorial Connect SAP HANA Database in SAP HANA Cloud to Python
- Tutorial Visualize Spatial Data in SAP HANA Cloud Using Jupyter Notebook
Learning journeys covering this
Code samples embodying this
Prerequisites
- Concept Jupyter Notebook ML Workflows The concept to be defined is not specified. Based on the provided sources, which cover topics such as SAP HANA Cloud graph workspaces, machine learning with AutoML, Service Ticket Intelligence, SAP Signavio process optimization, and Python connectivity, a meaningful definition cannot be accurately constructed without knowing the specific concept in question. Please provide the concept name so a precise, source-grounded definition can be written.
- Concept Jupyter Notebook Basics The concept provided is **undefined**, and the supplied sources do not describe or name a specific SAP developer concept to define. The sources cover topics such as machine learning primers, SAP AI Core tooling, SAP HANA Cloud spatial data visualization, and Service Ticket Intelligence workflows using Jupyter Notebook, but no single named concept is identified for definition.
- Concept Python for Data Science The concept name was not provided, so a precise definition cannot be generated. Please supply a valid concept name along with the relevant source snippets so that an accurate, source-grounded definition can be written.
- Concept SAP HANA Cloud Connection Management The concept provided is **undefined**, and the supplied sources do not contain enough grounded information to produce a reliable, accurate definition for a specific SAP developer concept. To generate a valid definition, please provide a clearly named concept (for example, "SAP HANA Database Explorer" or "Smart Data Integration") along with relevant source snippets that describe it.
- Concept SAP HANA Python Database Client (hdbcli) The concept name was not provided, and the available source snippets do not contain enough detail to produce a grounded, accurate definition. A valid concept name and sufficient source content are required to generate a reliable reference definition.
- Concept SAP HANA Database Connectivity via Node.js The concept name provided is **undefined**, and the supplied sources do not contain a specific, identifiable SAP developer concept to define. A meaningful reference definition cannot be written without a valid concept name and supporting source content. Please provide a defined concept name and relevant source snippets to generate an accurate definition.
- Concept SAP HANA Cloud fundamentals The concept name was not provided, and the available source snippets do not contain enough detail to define a specific SAP developer concept with accuracy. The sources reference topics such as [setting up database artifacts](https://help.sap.com/docs/btp/sap-business-technology-platform/3cd69547217949e098fb4f2a88aa6d33?locale=en-US&state=PRODUCTION&version=Cloud) in SAP HANA, connecting via JDBC, spatial data visualization, and migrating to SAP HANA Cloud, but no specific concept name or substantive explanatory content was supplied to ground a precise definition.
- Concept SAP HANA Cloud Instance Provisioning The concept provided is `undefined`, so no valid concept name was supplied. Based on the available sources — which cover topics such as SAP HANA Cloud free tier, SAP BTP Cloud Foundry deployment, Terraform automation, the SAP HANA Database Explorer, and SAP SuccessFactors extensions — it is not possible to determine which specific concept should be defined. Please provide a valid concept name so an accurate, source-grounded definition can be written.