pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Add explicit dtype support to pm.Data
- Support pymc.dims models in vectorize_over_posterior
- Convert integer and boolean DataFrames like Series in convert_data
- `test_sampling_consistency` (ZarrTrace) fails on ubuntu/numba/Python 3.14 CI
- Add icdf for AsymmetricLaplace distribution
- Compile the SMC trace function once and pass compile_kwargs to it
- BUG: ADVI default optimizer adagrad_window biases posterior SDs upward (~8.5% on a conjugate Gaussian): the current gradient is inside its own normaliser
- Fix icdf precision in the far tails for Cauchy, Exponential and Weibull
- Exclude current gradient from its adagrad_window normaliser
- BUG: icdf loses precision in the far tails for Cauchy, Exponential and Weibull
- Docs
- Python not yet supported