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acerbilab / pybads

PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
https://acerbilab.github.io/pybads/
BSD 3-Clause "New" or "Revised" License
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Resuming a BADS run #41

Closed pfebrer closed 1 year ago

pfebrer commented 1 year ago

Hi, I'm testing your package and it seems to be working amazingly for my use case :)

However, I have two questions regarding how BADS can be initialized:

  1. If a previous BADS run has stopped for some reason, is there a way to continue it from that point?
  2. More generally, if I have a known set of points of the function to optimize, is there some way I can feed them into BADS, maybe as initial points?

Thanks!

lacerbi commented 1 year ago

Thanks for the question - I answered it under our Discussions here: https://github.com/orgs/acerbilab/discussions/5

We keep the Issues section of individual repos for actual bugs and developer notes; we use the lab Discussions forum for Q&A since they often apply to multiple versions of our packages (for example this question applies to both the MATLAB and Python versions).