The HasGP package

[Tags: gpl, library]

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.


Properties

Version0.1
Dependenciesbase (==4.*), haskell98 (==1.*), hmatrix (==0.12.*), hmatrix-special (==0.1.*), mtl (==2.*), parsec (==3.*), random (==1.*)
LicenseGPL-3
CopyrightCopyright (C) 2011 Sean Holden
AuthorSean B. Holden
Maintainersbh11@cl.cam.ac.uk
StabilityExperimental
CategoryAI, Classification, Datamining, Statistics
Home pagehttp://www.cl.cam.ac.uk/~sbh11/HasGP
Bug trackersbh11@cl.cam.ac.uk
Upload dateWed Oct 26 15:35:53 UTC 2011
Uploaded bySeanHolden
Downloads142 total (17 in last 30 days)

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