pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Fix acceptance ratio of CategoricalGibbsMetropolis proportional proposal
- Fix CAR forward sampling covariance
- fix: exclude current gradient from its adagrad_window normaliser (#8444)
- Record step method sampling state in NDArray backend
- Potential depending on XTensor arithmetic fails gradient compilation without explicit lowering
- Support pandas Series and DataFrame inputs in Gaussian Processes
- Default support point for CustomDist with dist
- Support user callback with nutpie sampler
- Add pm.Placeholder for variables that take their values from a trace
- Add Model.dependent_logp and use it in discrete Metropolis and Slice samplers
- Docs
- Python not yet supported