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Showing content from https://github.com/pymc-devs/pymc/releases below:

Releases · pymc-devs/pymc · GitHub

Releases · pymc-devs/pymc

• Add experimental dims module with objects that follow dim-based semantics (like xarray without coordinates) by @ricardoV94 in #7820

• Small tweaks to Matern Covariance Documentation by @elc45 in #7859
• Add workflow to publish release notes directly to discourse by @ricardoV94 in #7860

• @elc45 made their first contribution in #7859

Full Changelog: v5.24.1...v5.25.0

• Bump PyTensor dependency by @ricardoV94 in #7792
  • This release raises error for some forms of runtime broadcasting in advanced set_subtensor operations that were previously allowed.

• Transform to remove Minibatch from model by @zaxtax in #7746
• Implement reversed and strictly positive ordered transform by @velochy in #7759
• Add public testing function to mock sample by @williambdean in #7761

• Default to SVD for MvNormal in Latent GP conditionals by @michaelosthege in #7755

• Add gp util module to docs by @williambdean in #7763
• Update docs theme by @OriolAbril in #7781
• Tweak Model.profile docstring and type hint by @williambdean in #7795

• Do not include rvs in symbolic normalizing constant by @ricardoV94 in #7787

• @star1327p made their first contribution in #7650

Full Changelog: v5.21.2...v5.23.0

• Bump PyTensor dependency by @ricardoV94 in #7740
  • This release changes how JAX dispatch of random variables are implemented. Custom dispatches will have to be updated

• Add return type overload for sample_posterior_predictive by @nataziel in #7710
• Replaced "log-likelihood" with "distribution" in for all the classes where distributions is more appropriate rather than log-likelihood. by @tanishy7777 in #7573

• Allow passing graph level attributes to graphviz by @zaxtax in #7741
• Add warning if a Minibatched variable is used without total_size by @zaxtax in #7742

• @tanishy7777 made their first contribution in #7573

Full Changelog: v5.21.1...v5.22.0

Important

This was an erroneous duplicate release of v5.22.0.

• Support PyTensor deterministic operations as observations by @wd60622 in #7656
• Allow draws from Weibull, MvStudentT, LKJCorr and LKJCholeskyCovRV in alternative backends by @ricardoV94 in #7685

• Make do interventions shared variables by default by @ricardoV94 in #7596
• Remove setupegg.py by @Armavica in #7697
• Expand logging test cases for sample_prior_predictive and add return type overloads by @nataziel in #7707
• Allow compile_kwargs in sample_smc by @jessegrabowski in #7702

Full Changelog: v5.21.0...v5.21.1

• Bump PyTensor and support numpy>2.0 and Python 3.13 by @ricardoV94 in #7688
  • Note: Checking if variable:, equivalent to bool(variable) now raises for PyMC variables. Use if variable is not None or whatever is appropriate in your context.
• Remove deprecated generator data by @wd60622 in #7664

• Fix bug with chained CustomSymbolicDists by @ricardoV94 in #7690
• Fix bug when reusing jax logp for initial point generation by @ricardoV94 in #7695

• Relax observe to allow observing already observed variables by @zaxtax in #7679
• Reuse jaxified logp when sampling via jax by @nataziel in #7681

Full Changelog: v5.20.1...v5.21.0

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