
pymc 5.27.1
0
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTen
Contents
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor
Stars: 9480, Watchers: 9480, Forks: 2208, Open Issues: 461The pymc-devs/pymc repo was created 16 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 9480 github stars!
How to Install pymc
You can install pymc using pip
pip install pymc
or add it to a project with poetry
poetry add pymc
Package Details
- Author
- None
- License
- Apache License, Version 2.0
- Homepage
- http://github.com/pymc-devs/pymc
- PyPi:
- https://pypi.org/project/pymc/
- GitHub Repo:
- https://github.com/pymc-devs/pymc
Classifiers
- Scientific/Engineering
- Scientific/Engineering/Mathematics
Related Packages
Errors
A list of common pymc errors.
Code Examples
Here are some pymc code examples and snippets.
GitHub Issues
The pymc package has 461 open issues on GitHub
- Derive Categorical from Argmin/Argmax
- Fix multi-output IfElse logp for non-lazy backends
- Improve links and references in dims module notebook
- Fix model_to_graphviz for Flat variables
- logprob for non-overlapping switch accepts equivalent spellings
- Add rewrites with RV reparametrization tricks
- ENH: support non-overlapping switch logp transforms with non-zero thresholds
(x ? k) - ENH: general framework for non-overlapping switch logp transforms (monotone branches)
- ENH: support non-overlapping switch logp with scaling on both branches
- ENH: extending equivalent non-overlapping switch logp forms
- Implements more Dims Distributions
- SMC Multiprocessing and Progress Bar Refactor
- Feature/transform aware bounds checking
- Replace legacy seeded_test fixture with NumPy Generator in tests
- Respect value dtype in partial_observed_rv_logprob
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