pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Compute correct log_likelihood for models with partially observed variables
- Allow step methods to work with variables that have dynamic sizes
- Rethink bundling of requirements
- add utility method to plot the pdf of a variable
- Investigate failing test `test_parallel_sampling.py::test_abort`
- Feature request: Option to ignore imputation in the `pm.model_to_graphviz` plate model
- Consistent API for choosing model RVs / value vars
- Use of pm.Data affects shape interpretation
- Enable `pm.Interpolated` to accept symbolic inputs
- `pm.gp.util.stabilize` needs a docstring with usage instructions
- Docs
- Python not yet supported