Open manishadubey91 opened 2 years ago
Hi,
You could look into the demo jupyter notebook where the GP model is drawn. Use the predictive mean to compute the likelihood on the test data as the usual case or use ''TELBO'' in vbhp.log_marginal_likehood(). It is an approximation to the marginal likelihood of the Bayesian model so figure out whether it is what you want before using it :).
Could you please tell that how can I get predictive scores for a custom data?