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Published March 15, 2022 | Version v3.11.5
Software Open

pymc-devs/pymc: PyMC 3.11.5

Creators

  • 1. MSU Economics / Skoltech CS
  • 2. @google
  • 3. Google
  • 4. IMASL-CONICET
  • 5. Forschungszentrum Jülich GmbH
  • 6. pymc-labs
  • 7. Kibo Commerce
  • 8. PyMC-Labs
  • 9. Laboro.AI
  • 10. @flatironhealth

Description

PyMC 3.11.5 (15 March 2022)

This is a backport & bugfix release that eases the transition to pymc >=4.0.0.

Backports
  • The pm.logp(rv, x) syntax is now available and recommended to make your model code v4-ready. Note that this backport is just an alias and much less capable than what's available with pymc >=4 (see #5083).
  • The pm.Distribution(testval=...) kwarg was deprecated and will be replaced by pm.Distribution(initval=...)in pymc >=4 (see #5226).
  • The pm.sample(start=...) kwarg was deprecated and will be replaced by pm.sample(initvals=...)in pymc >=4 (see #5226).
  • pm.LogNormal is now available as an alias for pm.Lognormal (see #5389).
Bugfixes
  • The upper limit for the SciPy version is <1.8.0 and will most probably remain for all future 3.x.x releases. For compatibility with newer SciPy versions please update to pymc>=4.0.0. Also see #5448.
  • A hotfix is applied on import to remain compatible with NumPy 1.22 (see #5316).

Files

pymc-devs/pymc-v3.11.5.zip

Files (2.1 MB)

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Additional details

Related works

Is supplement to
https://github.com/pymc-devs/pymc/tree/v3.11.5 (URL)