pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Allow extracting logp and random functions directly from fgraph representation
- BUG: Regression in jax translation from 5.12 -> 5.13
- Revert Temporarily pin Scipy in JAX job #7255
- Numpy emits spurious cast warning on discrete models with missing data
- 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
- Docs
- Python not yet supported