GPLikelihoods.jl provides a collection of likelihoods to be used as building blocks for defining non-Gaussian problems. It is intended to be mainly consumed by other packages within the JuliaGaussianProcesses ecosystem (such as ApproximateGPs.jl) for approximate Gaussian process regression, classification, event counting, etc.
- Popularity
- 43 Stars
- Updated Last
- 4 Months Ago
- Started In
- May 2020
Required Packages
-
AliasTables
-
ChainRulesCore
-
ChangesOfVariables
-
Compat
-
DataAPI
-
DataStructures
-
DensityInterface
-
Distributions
-
DocStringExtensions
-
FastGaussQuadrature
-
FillArrays
-
Functors
-
HypergeometricFunctions
-
InverseFunctions
-
IrrationalConstants
-
LogExpFunctions
-
Missings
-
OrderedCollections
-
PDMats
-
PrecompileTools
-
Preferences
-
PtrArrays
-
QuadGK
-
Reexport
-
Rmath
-
SortingAlgorithms
-
SparseArrays
-
SpecialFunctions
-
StaticArrays
-
StaticArraysCore
-
StatsAPI
-
StatsBase
-
StatsFuns