Tutorials

Step-by-step walkthroughs of the most common LightGP workflows. Each tutorial is a runnable Jupyter notebook — clone the repo, pip install lightgp, and re-execute them yourself with jupyter lab.

• Basic GP Regression
• Kernel Composition
• Sparse GP — Inducing Points
• Large-Scale GP with SKI
• Choosing a Backend
• Using LightGP from C++