v4.3.0

What's Changed

Major Changes 🛠

• Remove samples and keep_size from sample_posterior_predictive by @pibieta in #6029
• Deprecate old or unused Model methods by @ricardoV94 in #6237
• Rename SMC files by @IMvision12 in #6174
• Require backends to record sample stats by @wd60622 in #6205
• Collect sampler warnings only through stats by @michaelosthege in #6192

New Features & Bugfixes 🎉

• Refactor EulerMaruyama to work in v4 by @junpenglao in #6227
• Fix bug in get_vars_in_point_list when model does not have variables that exist in the trace by @lucianopaz in #6203

Docs & Maintenance 🔧

• Speed up posterior predictive sampling by @OriolAbril in #6208
• Add option to include transformed variables in InferenceData by @dfm in #6232
• Set start method to "fork" for MacOs ARM devices by @bchen93 in #6218
• Deprecate sample_posterior_predictive_w by @zaxtax in #6254
• Fix latex repr of symbolic distributions by @mattiadg in #6231
• Some doc fixes by @OriolAbril in #6200
• Modify logo_link to work with new sphinx schema by @hdnl in #6209
• Fix docstring of the ZeroInflatedPoisson distribution by @cscheffler in #6213
• Fix debug_print of wrong variable in notebook by @ricardoV94 in #6225
• Fix flaky TestMixture.test_component_choice_random by @bherwerth in #6222
• Seed flaky test TestSamplePPC.test_normal_scalar by @mattiadg in #6220
• Fix flaky TestTruncation.truncation_discrete_random by @mattiadg in #6229
• Seed pm.sample in BaseSampler(SeededTest) to make deriving test classes deterministic by @mattiadg in #6251

New Contributors

• @hdnl made their first contribution in #6209
• @mattiadg made their first contribution in #6220
• @bchen93 made their first contribution in #6218
• @IMvision12 made their first contribution in #6174

Full Changelog: v4.2.2...v4.3.0

v4.2.2

What's Changed

New Features & Bugfixes 🎉

• Add ZeroSumNormal distribution by @AlexAndorra in #6121
• Refactor Multivariate RandomWalk distributions by @ricardoV94 in #6131

Docs & Maintenance 🔧

• Finish restructuring the tests to follow the structure of the code by @Armavica in #6125
• Small typo corrections in Markdown for overview notebook by @willettk in #6183
• Run mypy outside of pre-commit in its own job by @michaelosthege in #6186
• Update docstrings of set_data and Data by @bwengals in #6087
• Remove unused trace features by @michaelosthege in #6188

New Contributors

• @willettk made their first contribution in #6183

Full Changelog: v4.2.1...v4.2.2

v4.2.1

What's Changed

New Features & Bugfixes 🎉

• Check shared variable values to determine volatility in posterior predictive sampling by @lucianopaz in #6147
• Log name of variables that are sampled in predictive sampling functions by @ricardoV94 in #6142
• Fix DiscreteUniformRV dropping degenerate dimension by @ricardoV94 in #6151
• Fix shape bug when creating a truncated normal via Truncated by @ricardoV94 in #6165

Docs & Maintenance 🔧

• Repair the plot of Interpolated and add an example for Deterministic by @Armavica in #6126
• Add constant_fold helper by @ricardoV94 in #6160
• Use sigma instead of noise in GP functions 6094 by @wd60622 in #6145
• Replace multinomial sampling with systematic sampling in sample_smc by @aloctavodia in #6162
• Assume default_output is the only measurable output in SymbolicRandomVariables by @ricardoV94 in #6161

New Contributors

• @wd60622 made their first contribution in #6145

Full Changelog: v4.2.0...v4.2.1

v4.2.0

What's Changed

Major Changes 🛠

• Allow broadcasting via observed and dims by @ricardoV94 in #6063
• Remove support for specifying "dims on the fly" from the shapes of variables by @ricardoV94 in #6112
• Automatic versioning with versioneer by @cfonnesbeck in #6078

New Features & Bugfixes 🎉

• Implement Truncated distributions by @ricardoV94 in #6113
• Port GARCH11 to v4 by @junpenglao in #6119
• Implement Symbolic RVs and enable nested distribution factories (such as Mixtures of Mixtures) by @ricardoV94 in #6072
• Allow for batched alpha in StickBreakingWeights by @purna135 in #6042
• Remove NoDistribution and enable .dist API for Simulator and DensityDist by @ricardoV94 in #6110
• Add start_sigma to ADVI 2 by @markusschmaus in #6132
• Create .gitpod.yml by @ferrine in #6070 and #6109

Docs & Maintenance 🔧

• Make rvs_to_values work with non-RandomVariables by @ricardoV94 in #6101
• Fix bug in Marginalapprox by @bwengals in #6076
• Fix bug in which TruncatedNormal returns -inf for all values if any value is out of bounds by @adrn in #6128
• Rename cov_func/cov to scale_func/scale for TP/MvStudentT by @fonnesbeck in #6068
• Ignore SpecifyShape when converting to JAX by @martiningram in #6062
• Remove reshape_t by @tjburch in #6118
• Fix Model docstring by @alekracicot in #6048
• Update opvi docs by @ferrine in #6093
• Fix formatting in documentation of AR distribution parameters by @daniel-saunders-phil in #6080
• Fix incorrect formula in NormalMixture docstring by @MatthewQuenneville in #6073
• Fix last remaining PyMC3 occurrences & broken link by @Armavica in #6133
• Update GOVERNANCE.md for PyMCon_2022 planning repo by @canyon289 in #6088
• Add new core contributors by @OriolAbril in #6117
• Pin pydata-sphinx-theme by @ricardoV94 in #6120
• Mirror codebase structure in tests by @Armavica in #6084
• Clean up some warnings from the test suite by @Armavica in #6067 and #6074
• Restructure the test suite to follow the code by @Armavica in #6111

New Contributors

• @alekracicot made their first contribution in #6048
• @MatthewQuenneville made their first contribution in #6073
• @tjburch made their first contribution in #6118
• @markusschmaus made their first contribution in #6096
• @cfonnesbeck made their first contribution in #6078
• @adrn made their first contribution in #6128

Full Changelog: v4.1.7...v4.2.0

v4.1.7

What's Changed

Docs & Maintenance 🔧

• Remove note that probs are automatically rescaled by @Armavica in #6066
• update the default value of jitter to JITTER_DEFAULT by @danhphan in #6055

Full Changelog: v4.1.6...v4.1.7

v4.1.6

What's Changed

Docs & Maintenance 🔧

• adding markdown cell for Watermark by @reshamas in #6051
• DOC Adding "Git Bash command" to install virtual enviroment by @vitaliset in #6056
• Fix JAX sampling funcs overwriting existing var's dims and coords by @jhrcook in #6041
• Remove unused IS_FLOAT32 and IS_WINDOWS from test_ode by @maresb in #6057
• Add missing file test_printing.py to github runner by @Armavica in #6058
• Convert pip-installed dev dependencies to Conda by @maresb in #6060
• Upgrade to aesara=2.8.2 and aeppl=0.0.35 by @Armavica in #6059

New Contributors

• @Armavica made their first contribution in #6058

Full Changelog: v4.1.5...v4.1.6

v4.1.5

What's Changed

New Features & Bugfixes 🎉

• Constrain priors with symmetric mass distribution by @lucianopaz in #5981
• Fix AttributeError in HMC bad initial energy warning by @michaelosthege in #6037

Docs & Maintenance 🔧

• Fix problems with specifying target_accept and nuts kwargs by @mschmidt87 in #6018
• Typehints and updated docstring for Blackjax NUTS sampling function by @jhrcook in #6022
• Revert numpy warnings workaround by @maresb in #6025
• Revert "Proposal: Readd 3.7" by @twiecki in #6014
• fixed some docstring spacing around colons by @daniel-saunders-phil in #6027
• issue6004 fixed example in docstring for set_data by @rowangayleschaefer in #6028
• Updating docstrings of distributions by @vitaliset in #5998
• Pass user-provided NUTS kwargs to Numpyro by @jhrcook in #6021
• ⬆️ UPGRADE: Autoupdate pre-commit config by @twiecki in #6008
• [DOCS] Fix aesara core notebook dprint error by @juanitorduz in #6030
• Removed assert_negative_support deprecated function call #5997 by @dihanster in #6034
• Update aeppl dependency to 0.0.34 by @cluhmann in #6049
• Updated pymc.simulator docstring (typos, defaults, type description) by @daniel-saunders-phil in #6035
• Added networkx export functionality by @jonititan in #6046

New Contributors

• @mschmidt87 made their first contribution in #6018
• @daniel-saunders-phil made their first contribution in #6027
• @rowangayleschaefer made their first contribution in #6028
• @dihanster made their first contribution in #6034
• @jonititan made their first contribution in #6046

Full Changelog: v4.1.4...v4.1.5

v4.1.4

What's Changed

Docs & Maintenance 🔧

• Updated docstrings of some distribution classes inside multivariate.py by @pibieta in #5982
• Fix error when passing coords and dims in sampling_jax by @bherwerth in #5983
• ⬆️ UPGRADE: Autoupdate pre-commit config by @twiecki in #5984
• Fix docker image build by @symeneses in #5977
• docs: Fix a few typos by @timgates42 in #5988
• contributing, jupyter style; author section more explicit by @reshamas in #6000
• Move MLDA to pymc-experimental by @michaelosthege in #6007
• Bump aesara to 2.7.8. by @twiecki in #5995
• Proposal: Readd 3.7 by @canyon289 in #6010
• Fix pm.Interpolated moment by @larryshamalama in #5986
• Bump aesara to 2.7.9 and aeppl to 0.0.33 by @twiecki in #6012
• Create arrow to observation nodes subject to arbitrary dtype casting in pm.model_to_graphviz by @larryshamalama in #6011

New Contributors

• @pibieta made their first contribution in #5982

Full Changelog: v4.1.3...v4.1.4

v4.1.3

What's Changed

Docs & Maintenance 🔧

• update docstrings in BetaBinomial class by @saurbhc in #5960
• Deprecate assert_negative_support by @vitaliset in #5963
• Updated docstrings to inform users that ODE solution may be slow. by @dmburt in #5965
• Add docker-image workflow by @symeneses in #5966
• ⬆️ UPGRADE: Autoupdate pre-commit config by @twiecki in #5967
• Provide a fix for sample_blackjax_nuts failing with chains=1 with prior parameters of different shapes by @bherwerth in #5969
• correct docstring in BetaBinomial Class by @SangamSwadiK in #5957
• Correct docs for Bernoulli, Poisson, Negative Binomial, Geometric and HyperGeometric by @SangamSwadiK in #5958
• update docstrings in ZeroInflatedPoisson, DiracDelta and OrderedLogistic classes by @saurbhc in #5962
• Bernoulli, OrderedProbit, ZeroInflatedBinomial, ZeroInflatedNegativeBinomial docstring update by @mariyayb in #5961
• Updated docstring for find_constrained_prior by @jlindbloom in #5964
• Point installation links to new installation guide in docs by @fonnesbeck in #5873
• Bump aesara dependency by @keesterbrugge in #5970

New Contributors

• @saurbhc made their first contribution in #5960
• @vitaliset made their first contribution in #5963
• @dmburt made their first contribution in #5965
• @bherwerth made their first contribution in #5969
• @mariyayb made their first contribution in #5961
• @jlindbloom made their first contribution in #5964
• @keesterbrugge made their first contribution in #5970

Full Changelog: v4.1.2...v4.1.3

v4.1.2

What's Changed

New Features & Bugfixes 🎉

• Fix model graph node name to remove RV from end only and not the start by @cscheffler in #5953
• Workaround to suppress (some) import warnings from NumPy by @michaelosthege in #5956

Docs & Maintenance 🔧

• include :: in name prefix check by @moshelooks in #5951
• correct docstrings in Binomial Class by @SangamSwadiK in #5952
• Bump Aesara to 2.7.5, aeppl to 0.0.32, update tests for aeppl by @maresb in #5955

New Contributors

• @moshelooks made their first contribution in #5951
• @cscheffler made their first contribution in #5953
• @SangamSwadiK made their first contribution in #5952

Full Changelog: v4.1.1...v4.1.2