Examples

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

• Single-task GP — basic GP regression with the GP class

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

• gp2Scale — large-scale sparse GP with distributed computation

• Non-Euclidean inputs — GPs over strings, graphs, and other non-Euclidean spaces

• GGMP — distributional regression — GP over Gaussian mixture data with a 1D synthetic example