Examples

The notebooks below walk through common gpCAM use cases. Each can be downloaded and run locally after pip install gpcam.

• Minimal GPOptimizer — the shortest possible ask/tell/train loop

• Acquisition functions (1D) — comparing built-in acquisition functions on a 1D problem

• Single-task GP — single-task regression and autonomous data acquisition

• Non-Euclidean inputs — Bayesian optimization over candidate sets (strings, graphs, materials)

• gp2Scale — large-scale sparse GP with Dask distributed computation

• Multi-task GP — multi-output regression with the fvGPOptimizer class

• Function optimization — minimizing a known function with the optimize loop

• Log and Logit GP optimizers — fitting strictly-positive data with LogGPOptimizer and bounded [0, 1] data with LogitGPOptimizer