Annoucing BridgeStan: a bridge to a Stan model's log_prob and gradient functions

[WardBrian]

@Bob_Carpenter - I posted that as a separate topic recently

Exposing Stan functions in Python via PyBind

Hi all - I’ve recently done some experimenting in how to expose functions written in a Stan model to Python. I’ve cleaned up the results of these and put them up here: GitHub - WardBrian/pybind_expose_stan_fns: Exposing Stan functions in Python. This is modeled after the similar functionality Rok has built for cmdstanr users. A Stan model like functions { real my_log1p_exp(real x) { return log1p_exp(x); } real array_fun(array[] real a) { return sum(a); } real int_array_fun…

It’s not terribly related to Bridgestan other than that Bridgestan had me thinking more about foreign function interfaces