I am trying to compute WAIC for multioutput gaussian process, however, when I run this command
I get the following warning
C:\Users\GTS\anaconda3\envs\pymc_env\Lib\site-packages\arviz\stats\stats.py:1645: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail.
See [1507.04544] Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC for details
C:\Users\GTS\anaconda3\envs\pymc_env\Lib\site-packages\arviz\stats\stats.py:1673: UserWarning: The point-wise WAIC is the same with the sum WAIC, please double check
the Observed RV in your model to make sure it returns element-wise logp.
I think the error is happened because the model has multioutput tasks (i.e., two tasks in my case) Any advice on how get the waic or the loo in this case?