1. Introduction
In this blog post, we will delve into the concept of Machine Learning (ML) Explainability in SAP HANA Predictive Analysis Library (PAL) and showcase how HANA PAL has seamlessly integrated this feature into various classification and regression algorithms, providing an effective tool for understanding predictive modeling. ML explainability are integral to achieving SAP's ethical AI goals, ensuring fairness, transparency, and trustworthiness in AI systems.
Upon completing this article, your key takeaways will be:
- An understanding of the concept of ML Explainability.
- How to utilize HANA PAL for ML Explainability in classification and regression tasks.
- Hands-on experience with Python Machine Learning Client for SAP HANA (hana-ml) through an example.
