{"@context":"https://w3id.org/codemeta/3.0","@type":"SoftwareSourceCode","identifier":"pkg:hackage/HasGP","name":"HasGP","description":"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.    ","version":"0.1","softwareVersion":"0.1","license":"https://spdx.org/licenses/GPL-3.0-only","url":"http://www.cl.cam.ac.uk/~sbh11/HasGP","keywords":["ai","classification","datamining","gpl","library","statistics","Propose Tags"],"maintainer":[{"@type":"Person","name":"SeanHolden"}],"author":[{"@type":"Person","name":"SeanHolden"}],"copyrightHolder":[{"@type":"Person","name":"SeanHolden"}],"dateCreated":"2011-10-26","dateModified":"2011-10-26","datePublished":"2011-10-26","copyrightYear":2011,"downloadUrl":"https://hackage.haskell.org/package/HasGP-0.1/HasGP-0.1.tar.gz","applicationCategory":"hackage","runtimePlatform":"hackage","sameAs":["https://hackage.haskell.org/package/HasGP"]}