HasGP

A Haskell library for inference using Gaussian processes

http://www.cl.cam.ac.uk/~sbh11/HasGP

Latest on Hackage:0.1

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GPL-3.0-only licensed by Sean B. Holden
Maintained by [email protected]

A Haskell library implementing algorithms for supervised learning, roughly corresponding to chapters 1 to 5 of "Gaussian Processes for Machine Learning" by Carl Rasmussen and Christopher Williams, The MIT Press 2006. In particular, algorithms are provides for regression and for two-class classification using either the Laplace or EP approximation.