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.)
- BUG: `model.debug(fn=‘logp’)` doesn’t work with Potentials
- ENH: Learning rate schedulers for ADVI optimizers
- ENH: Measurable `dot` and `matmul`
- FlatSwitch Op for logprob derivation of arbitrary censoring
- HSTP
- Unify `distributions/transform.py` and `logprob/transform.py`
- Scan logprob fails when unvalued stochastic outputs are returned
- Helper to sample from constrained prior
- Do not reference model variables in GP internals
- Docs
- Python not yet supported