pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Set multiprocessing to spawn for Linux
- Check idata dims/coords for consistency before sampling begins
- Approximation's sample method uses model contexts
- Use arviz 1.0
- HSGP with Neumann Boundary Conditions
- logprob for non-overlapping switch accepts equivalent spellings
- Resolve mypy error in mcmc.py
- Remove seeded_test fixture and migrate tests to numpy Generator API
- Add background sampling handle to pm.sample
- BUG: CategoricalGibbsMetropolis doesn't respect the tune parameter
- Docs
- Python not yet supported