数据与研究

sap-hana-ml

secondsky/sap-skills

SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage

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安装命令

npx skills add https://github.com/secondsky/sap-skills --skill sap-hana-ml

SKILL.md

SAP HANA ML Python Client (hana-ml)

Related Skills

  • sap-dependency-security: Use for secure dependency pinning and upgrade workflows in Python/auxiliary tooling used alongside HANA ML stacks

When to Use This Skill

Use this skill when building machine learning workflows with the hana-ml Python client, using PAL/APL algorithms, querying HANA DataFrames, training or scoring models in-database, using AutoML, visualizing model output, or troubleshooting Python-to-HANA ML connections.

Common Issues

Issue First check
Connection fails Verify HANA host, port, TLS/encryption, user privileges, and network allowlists.
PAL/APL algorithm missing Confirm the HANA system has the required AFL/PAL/APL libraries installed and licensed.
DataFrame collection is slow Push filtering/projection into HANA and avoid collecting large frames into Python.