pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Numpy emits spurious cast warning on discrete models with missing data
- Explain the role of Deterministics in the docs
- BUG: `pm.sample_posterior_predictive` discards new results when `extend_inferencedata=True` and `posterior_predictive` group already exists
- Allow partial imputation with `pm.observe`
- DOC: Clarify shape vs size
- BUG: return_inferencedata=True causes sample_smc to randomly fail
- Implement specialized transformed logp dispatch
- Store unconstrained variables by default after sampling
- Integrate docs from data-umbrella event
- BUG: CPython crashes within sampling (code 141)
- Docs
- Python not yet supported