What is the sap-hana-ml Claude Code skill?

It is a specialized capability for Claude Code that provides domain-specific guidance, code patterns, and best practices for developing machine learning models using the SAP HANA Python Client (hana-ml).

Does this skill support automated machine learning?

Yes, it includes comprehensive support for SAP's Automated Predictive Library (APL), enabling automated classification, regression, and feature engineering workflows.

How does this skill handle large datasets?

It promotes best practices like lazy evaluation and in-database processing, ensuring that heavy computations are performed within SAP HANA rather than pulling large datasets into the Python environment.

Can I use this for data visualization?

Absolutely. The skill covers 14 visualization modules for exploratory data analysis (EDA), SHAP model interpretability, and performance metrics.

SAP HANA Machine Learning (hana-ml)

Name: SAP HANA Machine Learning (hana-ml)
Author: secondsky

bysecondsky

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Ciencia de Datos y ML

Develops and deploys in-database machine learning models using the SAP HANA Python Client for PAL, APL, and AutoML workflows.

This skill empowers Claude to assist developers in building production-ready machine learning solutions directly within the SAP HANA ecosystem. It provides expert guidance on using the hana-ml library for in-database processing, leveraging the Predictive Analysis Library (PAL) and Automated Predictive Library (APL) for high-performance analytics without moving data. Claude can help with lazy-evaluation DataFrame operations, automated feature engineering, model persistence via ModelStorage, and advanced visualization techniques, ensuring efficient and scalable AI implementation on SAP HANA and SAP HANA Cloud.

Características Principales

01In-database machine learning using 100+ PAL and APL algorithms

02Automated ML (AutoML) for classification, regression, and time series

0311 GitHub stars

04Model persistence and lifecycle management with ModelStorage

05Advanced data visualization and model interpretability with SHAP integration

06Lazy evaluation DataFrame operations for high-performance data processing

Casos de Uso

01Optimizing data pipelines using in-database preprocessing and feature selection

02Implementing automated forecasting and time-series analysis for financial planning

03Building predictive maintenance models directly on SAP HANA business data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add secondsky/sap-skills sap-hana-ml

For use in Claude.ai and ChatGPT

Download Skill