-- HasGP.cabal auto-generated by cabal init. For additional options, -- see -- http://www.haskell.org/cabal/release/cabal-latest/doc/users-guide/authors.html#pkg-descr. -- The name of the package. Name: HasGP -- The package version. See the Haskell package versioning policy -- (http://www.haskell.org/haskellwiki/Package_versioning_policy) for -- standards guiding when and how versions should be incremented. Version: 0.1 -- A short (one-line) description of the package. Synopsis: A Haskell library for inference using Gaussian processes -- A longer description of the package. 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. -- URL for the project homepage or repository. Homepage: http://www.cl.cam.ac.uk/~sbh11/HasGP -- The license under which the package is released. License: GPL-3 -- The file containing the license text. License-file: LICENSE -- The package author(s). Author: Sean B. Holden -- An email address to which users can send suggestions, bug reports, -- and patches. Maintainer: sbh11@cl.cam.ac.uk -- A copyright notice. Copyright: Copyright (C) 2011 Sean Holden Category: AI, Classification, Datamining, Statistics Build-type: Simple -- Extra files to be distributed with the package, such as examples or -- a README. Extra-source-files: README -- Constraint on the version of Cabal needed to build this package. Cabal-version: >=1.6 Stability: Experimental Bug-reports: sbh11@cl.cam.ac.uk Package-url: http://www.cl.cam.ac.uk/~sbh11/HasGP/HasGP-0.1.tar.gz Tested-with: GHC ==7.0.3 Data-files: *.txt Data-dir: src/HasGP/Data/Files Library -- Modules exported by the library. Exposed-modules: HasGP.Classification.EP.ClassificationEP, HasGP.Classification.Laplace.ClassificationLaplace, HasGP.Covariance.Basic, HasGP.Covariance.SquaredExp, HasGP.Covariance.SquaredExpARD, HasGP.Data.BishopData, HasGP.Data.Normalise, HasGP.Data.RWData1, HasGP.Demos.ClassificationDemo1, HasGP.Demos.ClassificationDemo2, HasGP.Demos.RegressionDemo1, HasGP.Likelihood.Basic, HasGP.Likelihood.LogLogistic, HasGP.Likelihood.LogPhi, HasGP.Parsers.SvmLight, HasGP.Regression.Regression, HasGP.Support.Functions, HasGP.Support.Iterate, HasGP.Support.Linear, HasGP.Support.MatrixFunction, HasGP.Support.Random, HasGP.Support.Solve, HasGP.Types.MainTypes -- Packages needed in order to build this package. Build-depends: base == 4.*, haskell98 == 1.*, parsec == 3.*, random == 1.*, mtl == 2.*, hmatrix == 0.12.*, hmatrix-special == 0.1.* hs-source-dirs: src -- Modules not exported by this package. -- Other-modules: -- Extra tools (e.g. alex, hsc2hs, ...) needed to build the source. -- Build-tools: