What is the current status of greta in terms of whether it can be used to fit Bayesian nonparametrics?
The unconf discussion in April 2018 included a comment from Nick Golding to the effect that greta definitely couldn’t do varying dimension methods: https://github.com/ropensci/unconf18/issues/21
But did I pick up later news correctly, that greta now incorporates TensorFlow Probability? And since that has a component “edward2”, and Edward says (on its homepage) that it can deal with Bayesian nonparametrics, does that mean that greta can also now deal with Bayesian nonparametrics?
It might possibly be useful in future to have a page on the greta-stats site, maybe at the top of docs, that gives a quick summary (1 or 2 paragraphs?) of the features currently available in greta? I know it would be a pain having to keep updating it, and there’s info on github, but the github updates aren’t always that readable for people not yet familiar with greta and TF. But I realise you are all are probably crazy busy so it may not be feasible at the moment!
Thanks very much