gpytorch.likelihoods
gpytorch.likelihoods
Likelihood
Likelihoods for GPs that are distributions of scalar functions. (I.e. for a specific x we expect that f(x) ∈ ℝ.)
One-dimensional likelihoods should extend gpytoch.likelihoods._OneDimensionalLikelihood to reduce the variance when computing approximate GP objective functions. (Variance reduction is accomplished by using 1D Gauss-Hermite quadrature rather than MC-integration).
GaussianLikelihood
GaussianLikelihoodWithMissingObs
FixedNoiseGaussianLikelihood
DirichletClassificationLikelihood
BernoulliLikelihood
BetaLikelihood
LaplaceLikelihood
StudentTLikelihood
Likelihoods for GPs that are distributions of vector-valued functions. (I.e. for a specific x we expect that f(x) ∈ ℝt, where t is the number of output dimensions.)
MultitaskGaussianLikelihood
SoftmaxLikelihood