v5.18.1

What's Changed

Bugfixes 🪲

• Harmonize HSGP.prior dimension names and order by @juanitorduz in #7562
• Fix bug in implicit_size_from_params by @ricardoV94 in #7564
• Do not mutate Scan inner graph when deriving logprob by @ricardoV94 in #7575

Maintenance 🔧

• Make pytensorf.constant_fold unconditional by @ricardoV94 in #7568

Full Changelog: v5.18.0...v5.18.1

v5.18.0

What's Changed

Major Changes 🛠

• Add step method state and make step results deterministic with respect to it by @lucianopaz in #7508
• Remove deprecated features by @Armavica in #7533

New Features 🎉

• Allow copy and deepcopy of PYMC models by @Dekermanjian in #7492
• Add mean dispatch for pymc distributions by @lucianopaz in #7530
• Allow for passing of backend and gradient_backend to nutpie by @fonnesbeck in #7535
• Derive logprob of matmul by @ricardoV94 in #7542

Maintenance 🔧

• Simplify Model new and metaclass by @thomasaarholt in #7473

Full Changelog: v5.17.0...v5.18.0

v5.17.0

What's Changed

Major Changes 🛠

• Cleanup logprob module by @ricardoV94 in #7443
• Deprecation warning for find_constrained_prior by @aloctavodia in #7458
• Remove deprecated Distribution kwargs by @thomasaarholt in #7488
• Allow Minibatch of derived RVs and deprecate generators as data by @ricardoV94 in #7480

New Features 🎉

• Implement specialized MvNormal density based on precision matrix by @ricardoV94 in #7345
• Infer logcdf of discrete transformations by @ricardoV94 in #7444
• Allow more distributions to be truncated by @ricardoV94 in #7476
• Add multi-output support to GP Latent by @AlexAndorra in #7471

Bugfixes 🪲

• Workaround PyTensor bug in vectorize of logp graph by @ferrine in #7415
• Print OP name for unnamed RVs instead of raising AssertionErrors by @lucianopaz in #7428
• Introduce value variables in logprob IR by @ricardoV94 in #7491
• Fix latex rendering of variables with underscore in name by @Dekermanjian in #7501

Documentation 📖

• Update Twitter Link to X by @Demon-Sheriff in #7451
• Changed PytTensor import alias to pt in PyMC overview by @Krupakar-Reddy-S in #7452
• Clarified 0-based indexing requirement for OrderedLogistic and OrderedProbit by @kdotmanoj in #7457
• Fix typo in the docstring of the Beta distribution by @erik-werner in #7469
• Update GLM_linear.ipynb to correct the URL for statsmodels by @seyedrezamirkhani in #7490

Maintenance 🔧

• Reduce blackjax sampling memory usage by @junpenglao in #7407
• Enforce custom initval in SMC by @tvwenger in #7439
• Blackjax sampler fix for breaking change / enable progress bar under parallel chain_method by @andrewdipper in #7453
• Add ability to set mode in check_start_vals by @lucianopaz in #7482
• Add compile_kwargs to compute_log_density functions by @lucianopaz in #7483
• Make zip strict in apply_function_over_dataset by @ricardoV94 in #7485
• Return InferenceData when there are no variables sampled and extend=True by @OriolAbril in #7509
• Build the package with python -m build by @Armavica in #7522

New Contributors

• @Demon-Sheriff made their first contribution in #7451
• @Krupakar-Reddy-S made their first contribution in #7452
• @kdotmanoj made their first contribution in #7457
• @seyedrezamirkhani made their first contribution in #7490
• @Dekermanjian made their first contribution in #7501

Full Changelog: v5.16.2...v5.17.0

v5.16.2

What's Changed

Bugfixes 🪲

• Do not consider dims without coords volatile if length has not changed by @JasonTam in #7381
• Fix bug with multiple minibatch variables by @ricardoV94 in #7408

Documentation 📖

• Add Myst cross reference link example to Jupyter style guide by @AlexAndorra in #7235

Maintenance 🔧

• Add Conda Downloads Badge by @PatriceJada in #7378
• Refactor model graph and allow suppressing dim lengths by @wd60622 in #7392
• Reduce JAX post-processing memory usage by @andrewdipper in #7311

New Contributors

• @PatriceJada made their first contribution in #7378

Full Changelog: v5.16.1...v5.16.2

v5.16.1

What's Changed

Bugfixes 🪲

• Avoid spurious deprecation warning in CustomDist by @ricardoV94 in #7391
• Assert ndim and number of dims match by @ricardoV94 in #7390

Full Changelog: v5.16.0...v5.16.1

v5.16.0

What's Changed

Major Changes 🛠

• Standardize draws as parameter in sample_prior_predictive by @wd60622 in #7366
• Allow opting out of model nesting by setting model=None by @ricardoV94 in #7352
• Bump PyTensor dependency (which changes signature of RandomVariables) by @ricardoV94 in #7370
• Move CustomDist logic to dedicated module and docs section by @markgreene74 in #7363

New Features 🎉

• HSGP improvements by @AlexAndorra in #7335
• Add more idata attributes for JAX samplers by @osyuksel in #7360

Bugfixes 🪲

• Fix bug with compute_p for partially observed OrderedLogistic and OrderedProbit variables by @ricardoV94 in #7349
• Avoid repeated status polling in smc by @aseyboldt in #7351
• Fix bug when freezing model with partially observed RVs by @ricardoV94 in #7388

Documentation 📖

• Fix broken links by @Armavica in #7347

Maintenance 🔧

• Allow customizing truncation max_n_steps in Hurdle Mixtures by @tjburch in #7339
• Add refresh call to progress bar in apply_function_over_dataset by @fonnesbeck in #7343
• HSGP misc fixes by @bwengals in #7342
• Fixed myst version to less than 1.0.0 (fixes graph squashing) by @hevansDev in #7356
• Update readme example by @kiramclean in #7358
• Fix import pymc.testing by @bomtall in #7357
• Minor text improvements to the Introductory Overview of PyMC notebook (pymc_overview.ipynb) by @alimanfoo in #7361
• Remove default initval for Flat variables by @ricardoV94 in #7379
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #7371

New Contributors

• @hevansDev made their first contribution in #7356
• @kiramclean made their first contribution in #7358
• @bomtall made their first contribution in #7357
• @alimanfoo made their first contribution in #7361
• @osyuksel made their first contribution in #7360
• @markgreene74 made their first contribution in #7363

Full Changelog: v5.15.1...v5.16.0

What's Changed

Major Changes 🛠

• Rename samples argument to draws in sample_prior_predictive by @wd60622 in #7366
• Allow opting out of model nesting by setting model=None by @ricardoV94 in #7352
• Bump PyTensor dependency (which changes signature of RandomVariables) by @ricardoV94 in #7370
• Move CustomDist logic to dedicated module and docs section by @markgreene74 in #7363

New Features 🎉

• HSGP improvements by @AlexAndorra in #7335
• Add more idata attributes for JAX samplers by @osyuksel in #7360

Bugfixes 🪲

• Fix bug with compute_p for partially observed OrderedLogistic and OrderedProbit variables by @ricardoV94 in #7349
• Avoid repeated status polling in smc by @aseyboldt in #7351
• Fix bug when freezing model with partially observed RVs by @ricardoV94 in #7388

Documentation 📖

• Fix broken links by @Armavica in #7347
• Fixed myst version to less than 1.0.0 (fixes graph squashing) by @hevansDev in #7356
• Minor text improvements to the Introductory Overview of PyMC notebook (pymc_overview.ipynb) by @alimanfoo in #7361

Maintenance 🔧

• Allow customizing truncation max_n_steps in Hurdle Mixtures by @tjburch in #7339
• Add refresh call to progress bar in apply_function_over_dataset by @fonnesbeck in #7343
• HSGP misc fixes by @bwengals in #7342
• Update readme example by @kiramclean in #7358
• Fix import pymc.testing by @bomtall in #7357
• Remove default initval for Flat variables by @ricardoV94 in #7379

New Contributors

• @hevansDev made their first contribution in #7356
• @kiramclean made their first contribution in #7358
• @bomtall made their first contribution in #7357
• @alimanfoo made their first contribution in #7361
• @osyuksel made their first contribution in #7360
• @markgreene74 made their first contribution in #7363

Full Changelog: v5.15.1...v5.16.0

v3.11.6

What's Changed

• Add legacy messages to PyMC3 by @aloctavodia in #7338
• Bump release pymc3 by @aloctavodia in #7340

Full Changelog: v3.11.5...v3.11.6

v5.15.1

What's Changed

Bugfixes 🪲

• Allow mutable shape in partially imputed variables by @ricardoV94 in #7314
• Fix bug in Truncated with Deterministic inputs by @ricardoV94 in #7315
• Fix spurious inputs failure when building Truncated variables by @ricardoV94 in #7328

Documentation 📖

• Add docstring to pymc.sampling.jax.sample_jax_nuts by @andrewdipper in #7313
• Updated pymc.step_methods.slicer.Slice docstring by @ksk-17090k1 in #7322
• Fix error in logcdf example by @ricardoV94 in #7336

Maintenance 🔧

• Add blas_cores argument to pm.sample by @aseyboldt in #7318
• Update pymc.sample docstring to fix incorrect property name by @treszkai in #7321
• Implement CustomProgress that does not output empty divs when disabled by @tomicapretto in #7290
• Use more numerically stable function in TruncatedNormal area computation by @velochy in #7305
• Get rid of most intX usages by @ricardoV94 in #7330
• Fix typing in multiple places by @michaelosthege in #7333
• Split convert observed data by @michaelosthege in #7334
• Add test for freeze_rv_and_dims in JAX backend by @ricardoV94 in #7324

New Contributors

• @andrewdipper made their first contribution in #7313
• @ksk-17090k1 made their first contribution in #7322
• @lhelleckes made their first contribution in #7299

Full Changelog: v5.15.0...v5.15.1

v5.15.0

What's Changed

Major Changes 🛠

• Add warning about change of sign in hessian functions by @aseyboldt in #6312

New Features 🎉

• Skewed Student-T distribution by @fonnesbeck in #7252
• Allow customizing style of model_graph nodes by @wd60622 in #7302

Bugfixes 🪲

• Fix bug when freezing_rv_and_dims after a model transformation by @ricardoV94 in #7296
• Fix need for dummy data in sample_posterior_predictive by @ricardoV94 in #7265

Maintenance 🔧

• Suggest var_names when using deprecated API for partial traces by @lancechua in #7289

New Contributors

• @lancechua made their first contribution in #7289

Full Changelog: v5.14.0...v5.14.1

v5.14.0

What's Changed

Major Changes 🛠

• Implement default_transform and transform argument for distributions by @aerubanov in #7207

New Features 🎉

• Allow freezing only subset of data and dims by @ricardoV94 in #7248

Bugfixes 🪲

• Fix gradient bug in models with max operation by @ricardoV94 in #7261
• Convert random variables to value variables so pm.sample(var_names) works correctly by @tomicapretto in #7284
• Fix draws of Weibull when alpha and beta implicitly define size by @tomicapretto in #7288

Documentation 📖

• Add introduction section to Transformations API page to document role of Transforms by @mkusnetsov in #7232
• Fix link to API quick start. Closes #7266. by @twiecki in #7275

Maintenance 🔧

• Fix typo in progressbar message by @zaxtax in #7271
• Add time remaining column to progress bars by @fonnesbeck in #7273

New Contributors

• @mkusnetsov made their first contribution in #7232

Full Changelog: v5.13.1...v5.14.0