pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Ordered transform incompatible with constrained space transforms (ZeroSum, Simplex, etc.)
- Remove several functions and objects from PyMC root namespace
- BUG: `model.debug(fn=‘logp’)` doesn’t work with Potentials
- Allow Stationary covariance functions to use user defined distance functions
- ENH: Learning rate schedulers for ADVI optimizers
- ENH: Measurable `dot` and `matmul`
- FlatSwitch Op for logprob derivation of arbitrary censoring
- Add type hints to dist() for discrete distributions
- ENH: Enable changing observations of observed variables with `observe` operator
- HSTP
- Docs
- Python not yet supported