pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- trace fn does not respect random seed for stochastic "Deterministics"
- Compute only dependent logp in step samplers
- No warning thrown when Data given same name as coords key
- Mention vector bounds in Censored docstrings
- Mambaforge sunsetting
- ENH: Option to adjust the uniform distribution bounds for jitter/initialisation
- Derive probability of set_subtensor operations
- Warn or raise when trying to sample a Multinomial variable
- Accept new coords in model transforms
- Consider disabling PyTensor GC in sampling functions
- Docs
- Python not yet supported