{- | HasGP Gaussian Process Library. This module contains the class definition for log likelihoods. Copyright (C) 2011 Sean Holden. sbh11\@cl.cam.ac.uk. -} {- This file is part of HasGP. HasGP is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. HasGP is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with HasGP. If not, see <http://www.gnu.org/licenses/>. -} module HasGP.Likelihood.Basic ( LogLikelihood(..) ) where import Numeric.LinearAlgebra import HasGP.Types.MainTypes import HasGP.Support.Functions {- | The following allows arbitrary likelihoods with or without parameters to be wrapped up with their derivatives (with respect to f) and passed to a function. -} class LogLikelihood b where likelihood :: b -> Double -> Double -> Double dLikelihood :: b -> Double -> Double -> Double ddLikelihood :: b -> Double -> Double -> Double dddLikelihood :: b -> Double -> Double -> Double