A new release of pymc-extras is now available!
Release Information
- Version:
v0.13.0 - Repository: pymc-devs/pymc-extras
- Release Page: Release v0.13.0 · pymc-devs/pymc-extras · GitHub
- Note: It may take some time for the release to appear on PyPI and conda-forge.
Release Notes
What’s Changed
Major Changes 
- Allow closed form marginalization and implement
conditionalmodel transform by @ricardoV94 in #688 - Compatibility with PyTensor v3.1 and PyMC v6.1 by @ricardoV94 in #708
New Features 
- Make basic INLA interface and simple marginalisation routine by @Michal-Novomestsky in #533
- Implement time-varying P DiscreteMarkovChain and marginalized conditional/recover by @zaxtax in #693
- Build autoguide in unconstrained space and add full and low rank multivariate guides by @ricardoV94 in #701
Full Changelog: Comparing v0.12.1...v0.13.0 · pymc-devs/pymc-extras · GitHub
This post was automatically generated from the GitHub release.