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πŸš€ Release pymc-extras v0.13.0

Π”Π°Ρ‚Π° ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ: 13-07-2026 13:46:50

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 Β· pymc-devs/pymc-extras Β· 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 conditional model 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 Β· pymc-devs/pymc-extras Β· GitHub
This post was automatically generated from the GitHub release.

Π‘Ρ…ΠΎΠΆΠΈΠ΅ новости

#НаимСнованиС Π½ΠΎΠ²ΠΎΡΡ‚ΠΈΠ’ΠΎΠ½Π°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΠ˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒΠ”Π°Ρ‚Π° ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ
1πŸš€ Release pymc-extras v0.14.0019.6328-07-2026
2πŸš€ Release pymc-extras v0.13.1019.6319-07-2026
3πŸš€ Release v6.2.0018.5223-07-2026
4Hidden Markov Models in PyMC: marginalize and recover a DiscreteMarkovChain04.7813-07-2026
5Pymc_forecast β€” a new Bayesian time-series forecasting toolkit for PyMC019.3517-07-2026
6New contributor looking to get started β€” background in ML/RAG research010.4223-07-2026
7Regarding GSOC 2027 and PyMC projects07.7328-07-2026
8Hierarchical model with copula on GPU: NumPyro or nutpie using PyMC 5.19?09.5709-07-2026
9Arviz Issues following Tutorials07.4421-07-2026
10TypeError: Real.grad illegally returned an integer-valued variable - when pm.sample07.0412-07-2026

ΠšΠ»Π°ΡΡΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΡ: . Π‘Ρ…ΠΎΠΆΠΈΡ… ΠΏΠ°Ρ‚Π΅Π½Ρ‚ΠΎΠ²: 0. Π‘Ρ…ΠΎΠΆΠΈΡ… новостСй: 10. Π’ΠΎΠ½Π°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ: 0. Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ: 19.63. Π˜ΡΡ‚ΠΎΡ‡Π½ΠΈΠΊ: discourse.pymc.io.