I have been experimenting with Pyro, coming from Stan and Pymc3 and I quite like it. I have introduced my coworkers to it, but many of them lack expertise in probabilistic programming and while they do get the main ideas of priors and posteriors, they aren’t familiar enough with many of the concepts to easily digest frameworks like pyro. So, some of them have asked me if I could write a wrapper for some of the more common models we use, like linear regression and basic time series.
I would like to do this, but I am not sure how stable the Pyro API and inference tools are since everything is still in beta. I guess I would like to know if there are any plans to make serious changes to Pyro as it heads towards its official release, or if the current version is stable enough to write a wrapper around the API and have it not break in the near future (or give bad results with simple models)