Contents

pymc3 3.11.5

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Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Thean

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Stars: 7685, Watchers: 7685, Forks: 1797, Open Issues: 206

The pymc-devs/pymc repo was created 14 years ago and the last code push was 2 days ago.
The project is extremely popular with a mindblowing 7685 github stars!

How to Install pymc3

You can install pymc3 using pip

pip install pymc3

or add it to a project with poetry

poetry add pymc3

Package Details

Author
License
Apache License, Version 2.0
Homepage
http://github.com/pymc-devs/pymc3
PyPi
https://pypi.org/project/pymc3/
GitHub Repo
https://github.com/pymc-devs/pymc3

Classifiers

  • Scientific/Engineering
  • Scientific/Engineering/Mathematics
No  pymc3  pypi packages just yet.

Errors

A list of common pymc3 errors.

Code Examples

Here are some pymc3 code examples and snippets.

GitHub Issues

The pymc3 package has 206 open issues on GitHub

  • API backports and deprecation warnings
  • AR time series distribution [WIP]
  • Switch GitHub Actions to install environments with mamba #5375
  • Allow for scalar or size 1 mu in MvNormal and MvStudentT
  • Switched clone to True in FunctionGraph calls for sample_jax
  • MissingInputError upon completion of sample_numpyro_nuts
  • Increase support for batched multivariate distributions
  • LKJCorr and LKJCholeskyCov refactor
  • Add additional compiler flag to work around GCC bug.
  • Accept idata_kwargs in sampling_jax
  • Seeding not working
  • Seeding issues
  • Switch GitHub Actions to install environments with mamba
  • set_data raises AttributeError
  • Remove automatic normalization in Multinomial and Categorical #5331

See more issues on GitHub

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