gpytorch.mlls

Marginal Log Likelihood

class gpytorch.mlls.MarginalLogLikelihood(likelihood, model)[source]

A module to compute marginal log likelihoods of data

Args: - likelihood: (Likelihood) - the likelihood for the model - model: (Module) - the GP model

forward(output, target)[source]

Args: - output: (MultivariateNormal) - the outputs of the latent function - target: (Variable) - the target values

Exact GP Inference

ExactMarginalLogLikelihood

class gpytorch.mlls.ExactMarginalLogLikelihood(likelihood, model)[source]

Variational GP Inference

VariationalMarginalLogLikelihood

class gpytorch.mlls.VariationalMarginalLogLikelihood(likelihood, model, num_data, combine_terms=True)[source]