4c5604264b1a148f790acf59bcaa6d16f2c43140,gpytorch/inference/exact_gp_inference.py,ExactGPInference,run_,#ExactGPInference#Any#Any#Any#Any#,24

Before Change

        // w.r.t. the marginal likelihood
        if optimize:
            marginal_log_likelihood = ExactGPMarginalLogLikelihood()
            parameters = list(chain(latent_distribution.parameters(), likelihood.parameters()))
            optimizer = LBFGS(parameters, line_search_fn="backtracking", **optim_kwargs)
            optimizer.n_iter = 0

After Change

        likelihood = self.observation_model.observation_model

        mean_module_name, mean_module = [(name, module) for (name, module) in self.observation_model.latent_distributions.items() if isinstance(module,Mean)][0]
        kernel_module_name, kernel_module = [(name, module) for (name, module) in self.observation_model.latent_distributions.items() if isinstance(module,Kernel)][0]

        // Optimize the latent distribution/likelihood hyperparameters
        // w.r.t. the marginal likelihood

Instances