v5.21.1

What's Changed

New Features 🎉

• 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

Maintenance 🔧

• 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

v5.21.0

What's Changed

Major Changes 🛠

• 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

Bugfixes 🪲

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

Maintenance 🔧

• 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

v5.20.1

What's Changed

New Features 🎉

• Add ZarrTrace by @lucianopaz in #7540

Bugfixes 🪲

• fix: deep copy nuts_sampler_kwarg to prevent .pop side effects by @inclinedadarsh in #7652

Documentation 📖

• Adds shape/rate info to Gamma docs by @Dpananos in #7625
• Probability distributions guide update by @fonnesbeck in #7671

Maintenance 🔧

• Foward compile_kwargs to ADVI when init = "advi+..." by @jessegrabowski in #7640
• Check for observed variables in the trace by @zaxtax in #7641
• Use jaxified logp for initial point evaluation when sampling via Jax by @nataziel in #7610
• Show one progress bar per chain when sampling by @jessegrabowski in #7634
• Ignore inner unused RNG inputs in collect_default_updates by @ricardoV94 in #7658

New Contributors

• @nataziel made their first contribution in #7610
• @inclinedadarsh made their first contribution in #7652

Full Changelog: v5.20.0...v5.20.1

v5.20.0

What's Changed

Major Changes 🛠

• Rename compile_pymc to compile by @ricardoV94 in #7606

Bugfixes 🪲

• Fix MCMC non-deterministic seeding with Generators by @ricardoV94 in #7637

Documentation 📖

• Fix error in docstring example for MatrixNormal by @roesta07 in #7599

New Contributors

• @roesta07 made their first contribution in #7599

Full Changelog: v5.19.1...v5.19.2

v5.19.1

What's Changed

Bugfixes 🪲

• Bump numpy version due to use of Generator.spawn only available in >=1.25 by @ricardoV94 in #7607

Maintenance 🔧

• Exponential scale default to 1.0 by @ricardoV94 in #7604

Full Changelog: v5.19.0...v5.19.1

v5.19.0

What's Changed

Major Changes 🛠

• Speedup sample and allow specifying compile_kwargs by @ricardoV94 in #7578. This introduces several major changes related to step samplers:
  • internal uses of logp_dlogp_function now work with raveled inputs. External use will issue a warning unless ravel_inputs is specified explicitly. Eventually it will only be possible to use ravel_inputs=True.
  • Step samplers arguments besides vars must be passed by keyword
  • RaveledVars.point_map_info is now a 4-n tuple, with size introduced.
  • assign_step_method does not call instantiate_steppers, but returns arguments needed for the latter.
  • Allow passing compile_kwargs to sample which is then forwarded to the step samplers functions

Bugfixes 🪲

• Fix error in find_measurable_bitwise by @ricardoV94 in #7585

Documentation 📖

• Explain difference between BinaryMetropolis and BinaryGibbsMetropolis by @ricardoV94 in #7586
• Add example on freeze_data_and_dims by @ricardoV94 in #7594

Maintenance 🔧

• Register the overloads added by CustomDist so it works with multiprocess with SMC by @EliasRas in #7241

New Contributors

• @EliasRas made their first contribution in #7241

Full Changelog: v5.18.2...v5.19.0

v5.18.2

What's Changed

Maintenance 🔧

• Allow interdependent initial points from same OpFromGraph node by @ricardoV94 in #7569

Full Changelog: v5.18.1...v5.18.2

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