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acerbilab / pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
https://acerbilab.github.io/pyvbmc/
BSD 3-Clause "New" or "Revised" License
114 stars 6 forks source link

Pre public #119

Closed Bobby-Huggins closed 1 year ago

Bobby-Huggins commented 1 year ago

Final changes before making the repository public:

  1. Switches the default transform for bounded variables to probit.
  2. Adds VBMC class to top-level namespace, so the user can write from pyvbmc import VBMC instead of from pyvbmc.vbmc import VBMC.
  3. Updates tests/documentation/examples with these changes.
  4. Makes some minor edits to the documentation.

I'm in the process of re-running some benchmarks to make sure performance is as good or better with the probit transform, so we should wait to merge until that is complete. So I'll block the PR right after I open it, but I think it's ready for review.

lacerbi commented 1 year ago

It doesn't allow me to review it as it's closed I guess.

Bobby-Huggins commented 1 year ago

It doesn't allow me to review it as it's closed I guess.

Ah, I didn't realize; just re-opened.