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Marginal log-likelihood object unused in "Fully Bayesian GPs" example #2576

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williamjsdavis opened this issue Aug 29, 2024 · 0 comments

williamjsdavis commented Aug 29, 2024

In the Fully Bayesian GPs - Sampling Hyperparamters with NUTS example in the documentation, a marginal log-likelihood is defined but appears to never be used.

gpytorch/examples/01_Exact_GPs/GP_Regression_Fully_Bayesian.ipynb

Line 110 in 70eb9f9

"mll = gpytorch.mlls.ExactMarginalLogLikelihood(likelihood, model)\n",

Is this intentional?

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