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PyMC 3.11.5

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@michaelosthege michaelosthege released this 15 Mar 10:09
· 2 commits to v3 since this release
v3.11.5
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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).
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