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I wish Pyro would do a better job of hiding the implementation details. I shouldn't need to understand variational inference and such just to get the probabilit

by jmugan 3y ago

I wish Pyro would do a better job of hiding the implementation details. I shouldn't need to understand variational inference and such just to get the probability of a god dang hot dog. I've tried to use Pyro a few times, but every time I spend more effort trying to understand poutines and such instead of modeling my problem.

jmugan 3y ago
And I wish they would merge it with the beautiful explanations at https://probmods.org/ https://probmods.org/. We need a practical probabilistic programming language in Python. We have PyMC, but to use that you have to pull out your old notes on Theano.
- nerdponx 3y ago
  PyStan? Numpyro?
  - jmugan 3y ago
    Those didn't pop up last time I searched in this area. I knew about Stan but not PyStan. I'll check those out.
  - theptip 3y ago
    Interested in folks’ thoughts on how BeanMachine compares too.
- jonathf 3y ago
  That's not true anymore. Pymc4 switched backend last year. https://www.pymc.io/blog/v4_announcement.html#v4_announcement https://www.pymc.io/blog/v4_announcement.html#v4_announcemen...
  - adammarples 3y ago
    To a fork of theano
nerdponx 3y ago
FWIW Stan can work like this at least in simpler models, especially if you use one of its R wrapper packages.