v5.12.0

What's Changed

Major Changes 🛠

• Bump PyTensor dependency and support Python 3.12 by @ricardoV94 in #7203

New Features 🎉

• Add _print_name to Truncated and CustomDists by @ricardoV94 in #7205
• Add icdf functions for Beta, Gamma, Chisquared and StudentT distributions by @amyoshino in #6845
• Add var_names argument to sample by @fonnesbeck in #7206

Bugfixes 🪲

• add _moment function for bacward backward compatibility by @aerubanov in #7216

Documentation 📖

• Fix expression for the variance in ZINB docstring by @aloctavodia in #7200
• List more math function in API docs by @brandonhorsley in #7211
• Improve example on expanded sample_posterior_predictive by @ricardoV94 in #7222

Maintenance 🔧

• Removing unnecessary comp_shape from class NormalMixture by @mohammed052 in #7098

New Contributors

• @mohammed052 made their first contribution in #7098
• @brandonhorsley made their first contribution in #7211

Full Changelog: v5.11.0...v5.12.0

v5.11.0

What's Changed

Major Changes 🛠

• Rename moment to support_point by @aerubanov in #7166
• Remove intX and floatX calls from distributions by @aerubanov in #7114
• Remove deprecated Bound distribution by @ricardoV94 in #7176
• Remove deprecated sample_posterior_predictive_w by @aloctavodia in #7179

New Features 🎉

• Add option to save model graph to an image by @aloctavodia in #7158
• Run convergence checks when using JAX samplers by @ricardoV94 in #7165

Bugfixes 🪲

• Fix compute_log_prior in models with Deterministics by @OriolAbril in #7168
• Fix error in warn_treedepth when using multiple NUTS samplers by @ricardoV94 in #7182
• Fix error in dataset_to_point_list when chain, draw are not the leading dims by @OriolAbril in #7180
• Refactor get_tau_sigma and support lists of variables by @tvwenger in #7185

Documentation 📖

• Update link of Bayesian Analysis with Python book to third edition by @aloctavodia in #7161
• Fix typo in developer guide by @erik-werner in #7170
• Add examples explaining advanced applications of sample_posterior_predictive by @ricardoV94 in #7014
• Updated docstrings in pymc.model.core.Model by @apalermo01 in #7118
• Explain how to obtain the model graphviz in a non-Ipython environment by @Armavica in #7181
• Improve HSGP and ZeroInflated / Hurdle distributions docs by @AlexAndorra in #7189

Maintenance 🔧

• Reduce number of minimum draw in warning message by @aloctavodia in #7163
• Add sitemap to docs by @OriolAbril in #7171
• Add gufunc signature to SymbolicRandomVariables by @ricardoV94 in #7159

New Contributors

• @apalermo01 made their first contribution in #7118

Full Changelog: v5.10.4...v5.11.0

v5.10.4

What's Changed

New Features 🎉

• Add a flag to LKJCorr to return the unpacked correlation matrix by @velochy in #7100
• Allow jitter boolean to be set through nuts_sampler_kwargs by @VMBoehm in #7083
• Logprob derivation of Min for Discrete IID distributions by @Dhruvanshu-Joshi in #6968
• Implement compute_log_prior utility by @aloctavodia in #7149

Bugfixes 🪲

• GP do not fail when xdims cannot be constant folded by @bwengals in #7111
• Fix copying of shared variables in fgraph_from_model by @ricardoV94 in #7153

Documentation 📖

• Suppressed pip install bambi output in GLM core notebook by @jaharvey8 in #7090
• Gitpod instructions: use latest version of pymc by @reshamas in #7106
• Moved 'Implementing a Random Variable' to the last position in 'How To' section by @OmGhadge in #7108
• Add Google Scholar link for newest article by @aloctavodia in #7156

Maintenance 🔧

• Extend dataset_to_point_dict to accept both dataset and dict of dataarray by @OriolAbril in #7097
• Fix progressbar bug for parallel SMC sampling by @jucor in #7079
• Rectify return type hints in logprob module rewrites by @AryanNanda17 in #7125
• Deprecate block_diag from math module in favor of PyTensor by @AryanNanda17 in #7132

New Contributors

• @jucor made their first contribution in #7079
• @pre-commit-ci made their first contribution in #7110
• @velochy made their first contribution in #7100
• @VMBoehm made their first contribution in #7083
• @OmGhadge made their first contribution in #7108
• @AryanNanda17 made their first contribution in #7125

Full Changelog: v5.10.3...v5.10.4

v5.10.3

What's Changed

New Features 🎉

• Implement logcdf for TruncatedNormal by @LukeLB in #7034

Bugfixes 🪲

• Fix issue with sampling of PartialObservedRVs by @ricardoV94 in #7071

Full Changelog: v5.10.2...v5.10.3

v5.10.2

What's Changed

New Features 🎉

• Allow batched scalar sigma in ZeroSumNormal by @ricardoV94 in #7063

Bugfixes 🪲

• Fix failing default transform for LKJCorr by @juanitorduz in #7065

Full Changelog: v5.10.1...v5.10.2

v5.10.1

What's Changed

New Features 🎉

• Implement periodic kernel for HSGP by @theorashid in #6877

Bugfixes 🪲

• Avoid inplace mutation in replace_rvs_by_values by @ricardoV94 in #7055

Documentation 📖

• Reorganize docs API entries by @kataev in #7030
• Remove message about JAX not being supported on Windows in installation instructions by @jackhenderson101 in #7039

Maintenance 🔧

• Better float32 sampling support for TruncatedNormal by @JasonTam in #7026

New Contributors

• @jackhenderson101 made their first contribution in #7039

Full Changelog: v5.10.0...v5.10.1

v5.10.0

What's Changed

Major Changes 🛠

• ChiSquared now returns a Gamma random variable by @wd60622 in #7007
• Remove several deprecated model properties and deprecate new ones by @ricardoV94 in #7033
• Bump Pytensor dependency to >=2.18.1,<2.19 by @ricardoV94 in #7020

New Features 🎉

• Default moment for CustomDist provided with a dist function by @aerubanov in #6873

Documentation 📖

• Fix docs formatting in shape_utils by @kataev in #7025

Maintenance 🔧

• Update CODE_OF_CONDUCT.md by @fonnesbeck in #7012
• Update devcontainer by @maresb in #7017
• Merge redundant code across logprob, pytensorf and distributions/transform by @ricardoV94 in #6976
• Use PyTensor StudentT RV by @ricardoV94 in #7028
• Update GOVERNANCE.md by @canyon289 in #7031

New Contributors

• @kataev made their first contribution in #7025

Full Changelog: v5.9.2...v5.10.0

v5.9.2

What's Changed

New Features 🎉

• Recognize alternative form of sigmoid in logprob inference by @ricardoV94 in #6978
• Allow IntervalTransform to handle dynamic infinite bounds by @ricardoV94 in #7001

Bugfixes 🪲

• Fix compute_test_value error when creating observed variables by @vandalt in #6982
• Fix memory leak in logp of transformed variables by @ricardoV94 in #6991

Documentation 📖

• fix typo in notebook about Distribution Dimensionality by @nicrie in #7005

Maintenance 🔧

• Add more missing functions to math module by @ricardoV94 in #6979

New Contributors

• @vandalt made their first contribution in #6982
• @nicrie made their first contribution in #7005

Full Changelog: v5.9.1...v5.9.2

v5.9.1

What's Changed

New Features 🎉

• Allow batched parameters in MvNormal and MvStudentT distributions by @ricardoV94 in #6897
• Logprob derivation of Max for Discrete IID distributions by @Dhruvanshu-Joshi in #6790
• Support logp derivation of power(base, rv) by @LukeLB in #6962

Bugfixes 🪲

• Make Model.str_repr robust to variables without monkey-patch by @ricardoV94 in #6942
• Fix bug in GP Periodic and WrappedPeriodic kernel full method by @lucianopaz in #6952
• Fix rejection-based truncation of scalar variables by @ricardoV94 in #6923

Documentation 📖

• Add expression for NegativeBinomial variance by @ricardoV94 in #6957

Maintenance 🔧

• Add constant and observed data to nutpie idata by @Y0dler in #6943
• Improve multinomial moment by @aerubanov in #6933
• Fix HurdleLogNormal Docstring by @amcadie in #6958
• Use numpy testing utilities instead of custom close_to* by @erik-werner in #6961
• Include more PyTensor functions in math module by @jaharvey8 in #6956
• Improve blackjax sampling integration by @junpenglao in #6963

New Contributors

• @Y0dler made their first contribution in #6943
• @amcadie made their first contribution in #6958
• @erik-werner made their first contribution in #6961

Full Changelog: v5.9.0...v5.9.1

v5.9.0

What's Changed

Major Changes 🛠

• Update Gamma Distribution to support new pytensor GammaRV reparameterization by @tvwenger in #6934

Bugfixes 🪲

• Fix fgraph_from_model with multivariate transformed variables by @ferrine in #6924

Documentation 📖

• Update case study to match blog post by @thompsonjjet23 in #6930
• Fix do/conditioning model docs by @juanitorduz in #6936

Maintenance 🔧

• Fix typo in pymc_overview.ipynb by @thompsonjjet23 in #6925
• Default to Scan in postprocessing of jax samplers by @ferrine in #6922

New Contributors

• @thompsonjjet23 made their first contribution in #6925
• @tvwenger made their first contribution in #6934

Full Changelog: v5.8.2...v5.9.0