Saving the trained posterior.

[Ankush7890]

Is it currently possible to do save the trained posterior weights. For example, after this line

posterior = inference.build_posterior(density_estimator)

may be in torch like way. Is it currently possible to do it? I could not find in tutorials or otherwise.

Thanks.

[michaeldeistler]

Hi, thanks for creating the issue! The posterior can be pickled, see here.

Feel free to reopen if this does not solve your issue!
Michael