pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Rewrite to remove normalization constants from logp graph
- Scan RVs cannot be composed with other measurable operations
- Support alternative forms of censoring logprob via `set_subtensor`
- NUTS Sampler Stuck as 0.00% [0/8000 00:00<? Sampling 4 chains, 0 divergences]
- Change code of conduct to numfocus one
- Advi not working with `pm.censored` module
- Introductory example for Arbitrary Distributions
- Improve advice / diagnostics when VI gives terrible results
- Refactor sampler warnings to a serializable data structure
- Can't stick strings into a `pm.Data` container
- Docs
- Python not yet supported