Contents
Index
HasGP-0.1: A Haskell library for inference using Gaussian processes
Index
abaDiagDiag
HasGP.Support.Linear
abaVV
HasGP.Support.Linear
abDiagOnly
HasGP.Support.Linear
analyse
HasGP.Parsers.SvmLight
aValue
HasGP.Classification.Laplace.ClassificationLaplace
bishopData
HasGP.Data.BishopData
cholSolve
HasGP.Support.Solve
computeNthElement
HasGP.Support.Solve
confusionMatrix
HasGP.Data.Normalise
convertToP_CG
HasGP.Classification.Laplace.ClassificationLaplace
count
1 (Function)
HasGP.Classification.Laplace.ClassificationLaplace
2 (Function)
HasGP.Classification.EP.ClassificationEP
countLabels
HasGP.Data.Normalise
covariance
HasGP.Covariance.Basic
CovarianceFunction
HasGP.Covariance.Basic
CovarianceMatrix
HasGP.Types.MainTypes
covarianceMatrix
HasGP.Covariance.Basic
covarianceWithPoint
HasGP.Covariance.Basic
covarianceWithPoints
HasGP.Covariance.Basic
dCovarianceDParameters
HasGP.Covariance.Basic
dddLikelihood
HasGP.Likelihood.Basic
ddLikelihood
HasGP.Likelihood.Basic
delta
HasGP.Support.Functions
deltaBool
HasGP.Support.Functions
demo
1 (Function)
HasGP.Demos.RegressionDemo1
2 (Function)
HasGP.Demos.ClassificationDemo1
3 (Function)
HasGP.Demos.ClassificationDemo2
dLikelihood
HasGP.Likelihood.Basic
DMatrix
HasGP.Types.MainTypes
dPsiValue
HasGP.Classification.Laplace.ClassificationLaplace
DVector
HasGP.Types.MainTypes
EPConvergenceTest
HasGP.Classification.EP.ClassificationEP
EPSiteState
HasGP.Classification.EP.ClassificationEP
EPState
HasGP.Classification.EP.ClassificationEP
EPValue
HasGP.Classification.EP.ClassificationEP
eValue
1 (Function)
HasGP.Classification.Laplace.ClassificationLaplace
2 (Function)
HasGP.Classification.EP.ClassificationEP
exampleMean
HasGP.Data.Normalise
exampleMeanVariance
HasGP.Data.Normalise
exampleVariance
HasGP.Data.Normalise
f
HasGP.Covariance.SquaredExp
fARD
HasGP.Covariance.SquaredExpARD
findRedundantAttributes
HasGP.Data.Normalise
fValue
HasGP.Classification.Laplace.ClassificationLaplace
generalSigmoid
HasGP.Support.Functions
generalSolve
HasGP.Support.Solve
generateFixedSiteOrder
HasGP.Classification.EP.ClassificationEP
generateRandomSiteOrder
HasGP.Classification.EP.ClassificationEP
getMatrixExamplesFromFileC
HasGP.Parsers.SvmLight
gpCLaplaceLearn
HasGP.Classification.Laplace.ClassificationLaplace
gpCLaplaceLogEvidence
HasGP.Classification.Laplace.ClassificationLaplace
gpCLaplaceLogEvidenceList
HasGP.Classification.Laplace.ClassificationLaplace
gpCLaplaceLogEvidenceVec
HasGP.Classification.Laplace.ClassificationLaplace
gpCLaplacePredict
HasGP.Classification.Laplace.ClassificationLaplace
gpCLaplacePredict'
HasGP.Classification.Laplace.ClassificationLaplace
gpClassifierEPEvidence
HasGP.Classification.EP.ClassificationEP
gpClassifierEPLearn
HasGP.Classification.EP.ClassificationEP
gpClassifierEPLogEvidence
HasGP.Classification.EP.ClassificationEP
gpClassifierEPLogEvidenceList
HasGP.Classification.EP.ClassificationEP
gpClassifierEPLogEvidenceVec
HasGP.Classification.EP.ClassificationEP
gpClassifierEPPredict
HasGP.Classification.EP.ClassificationEP
gpRGradLogEvidence
HasGP.Regression.Regression
gpRLogEvidence
HasGP.Regression.Regression
gpRLogHyperToEvidence
HasGP.Regression.Regression
gpRMain
HasGP.Regression.Regression
gpRPredict
HasGP.Regression.Regression
gpRPredict'
HasGP.Regression.Regression
h
HasGP.Data.BishopData
Input
HasGP.Types.MainTypes
Inputs
HasGP.Types.MainTypes
iterateOnce
HasGP.Support.Iterate
iterateToConvergence
HasGP.Support.Iterate
iterateToConvergence'
HasGP.Support.Iterate
iterateToConvergence''
HasGP.Support.Iterate
l
HasGP.Covariance.SquaredExp
LaplaceConvergenceTest
HasGP.Classification.Laplace.ClassificationLaplace
LaplaceValue
1 (Type/Class)
HasGP.Classification.Laplace.ClassificationLaplace
2 (Data Constructor)
HasGP.Classification.Laplace.ClassificationLaplace
lengthV
HasGP.Support.Linear
likelihood
HasGP.Likelihood.Basic
listRedundantAttributes
HasGP.Data.Normalise
LogLikelihood
HasGP.Likelihood.Basic
LogLogistic
1 (Type/Class)
HasGP.Likelihood.LogLogistic
2 (Data Constructor)
HasGP.Likelihood.LogLogistic
LogPhi
1 (Type/Class)
HasGP.Likelihood.LogPhi
2 (Data Constructor)
HasGP.Likelihood.LogPhi
logPhi
HasGP.Support.Functions
lowerSolve
HasGP.Support.Solve
lS
HasGP.Support.Solve
m
HasGP.Covariance.SquaredExpARD
makeCovarianceFromList
HasGP.Covariance.Basic
makeListFromCovariance
HasGP.Covariance.Basic
makeMatricesFromPairs
HasGP.Support.MatrixFunction
makeMatrixFromFunction2
HasGP.Support.MatrixFunction
makeMatrixFromPairs2
HasGP.Support.MatrixFunction
n
HasGP.Support.Functions
normaliseBetweenLimits
HasGP.Data.Normalise
normaliseMeanVariance
HasGP.Data.Normalise
normaliseMeanVarianceSimple
HasGP.Data.Normalise
normalList
HasGP.Support.Random
normalMatrix
HasGP.Support.Random
normalVector
HasGP.Support.Random
normalVectorSimple
HasGP.Support.Random
nOverPhi
HasGP.Support.Functions
Outputs
HasGP.Types.MainTypes
phiIntegral
HasGP.Support.Functions
postMultiply
HasGP.Support.Linear
preMultiply
HasGP.Support.Linear
printConfusionMatrix
HasGP.Data.Normalise
psiValue
HasGP.Classification.Laplace.ClassificationLaplace
removeRedundantAttributes
HasGP.Data.Normalise
replaceInVector
HasGP.Support.Linear
retainAttributes
HasGP.Data.Normalise
sigmoid
HasGP.Support.Functions
simpleClassificationData
HasGP.Data.RWData1
SiteOrder
HasGP.Classification.EP.ClassificationEP
siteState
HasGP.Classification.EP.ClassificationEP
square
HasGP.Support.Functions
SquaredExponential
1 (Type/Class)
HasGP.Covariance.SquaredExp
2 (Data Constructor)
HasGP.Covariance.SquaredExp
SquaredExponentialARD
1 (Type/Class)
HasGP.Covariance.SquaredExpARD
2 (Data Constructor)
HasGP.Covariance.SquaredExpARD
stopEP
1 (Function)
HasGP.Demos.ClassificationDemo1
2 (Function)
HasGP.Demos.ClassificationDemo2
stopLaplace
HasGP.Demos.ClassificationDemo1
sumVector
HasGP.Support.Linear
sumVectorDiv
HasGP.Support.Linear
Targets
HasGP.Types.MainTypes
toVector
HasGP.Support.Linear
trace
HasGP.Support.Functions
trueHyper
HasGP.Covariance.Basic
uniformMatrix
HasGP.Support.Random
upperSolve
HasGP.Support.Solve
uS
HasGP.Support.Solve
xAxDiag
HasGP.Support.Linear