0.3.0

What's Changed

• Fix tutorial notebooks 0 2 11 by @AlexanderFengler in #836
• adding disaggregation of quantile computation by grouping of choice by @AlexanderFengler in #837
• Restructure testing workflows by @cpaniaguam in #846
• Add absl-py as a dependency by @cpaniaguam in #849
• fix bug with default prior assignment by @AlexanderFengler in #852
• Mark plotting tests as slow by @cpaniaguam in #848
• chore(deps): bump actions/checkout from 5 to 6 by @dependabot[bot] in #853
• Generalize RL framework to multiple computed params by @cpaniaguam in #857
• fix: Ensure vars_to_keep_clean only includes string variables by @digicosmos86 in #863
• make_distribution_for_supported_model for convenient creation of pm.Distribution by @digicosmos86 in #858
• Create base config class by @cpaniaguam in #860
• Update bambi dependency to 0.16 and added support for Python 3.13 by @digicosmos86 in #866
• Add-validation-rl-builder by @cpaniaguam in #864
• 877 update datavalidator to a mixin by @cpaniaguam in #878
• Builder functions for assembling RL learning update rule functions and SSM likelihood functions by @cpaniaguam in #824
• Updated formulae dependency and ready for 0.2.12 by @digicosmos86 in #880
• Add choices validation method to DataValidatorMixin by @cpaniaguam in #887
• Refactor ellipse visual test to use temporary directory for output by @cpaniaguam in #885
• Fix lint ruff v0.15 using lambda by @cpaniaguam in #889
• Add RLSSMConfig class for reinforcement learning models by @cpaniaguam in #861
• fix dimensionality errors which were introduced with Bambi 0.17.0 by @AlexanderFengler in #891
• Added is_choice_only field for Config class and updated tests by @digicosmos86 in #907
• improve naming to make logic clearer by @AlexanderFengler in #902
• initial poisson race implementation by @hayden-johnson in #840
• 898 use temp folder in test save load by @cpaniaguam in #899
• Use bayesflow lre through hssm by @AlexanderFengler in #914
• Removed constructor from DataValidatorMixin by @digicosmos86 in #905
• Added softmax likelihood for choice-only models by @digicosmos86 in #909
• Added config files for softmax by @digicosmos86 in #911
• Clean PR for RDM by @krishnbera in #918
• Solve merge conflicts and merge 906 into main by @digicosmos86 in #917
• fixed bug is poisson race test by @hayden-johnson in #922
• Update HSSM class for choice-only models by @digicosmos86 in #920
• add first choice only tutorial by @AlexanderFengler in #928
• fix: flaky test in test_data_validator by @krishnbera in #927
• fix: safe negative-RT handling and JAX backend for RDM3 by @krishnbera in #926
• first hmm example by @AlexanderFengler in #923
• Update version for release by @cpaniaguam in #933
• fix a notebook and drop check_notebooks from actions that are run aut… by @AlexanderFengler in #937
• workflow file needed to be changed by @AlexanderFengler in #938

New Contributors

• @hayden-johnson made their first contribution in #840

Full Changelog: v0.2.11...v0.3.0

0.2.11

What's Changed

• more explicit about versions to help with badge by @AlexanderFengler in #822
• Added a tutorial for using HSSM with bayeux by @digicosmos86 in #827
• Fixed badges in README.md by @digicosmos86 in #829
• Relocate rng fn by @cpaniaguam in #789
• prior predictive plotting by @AlexanderFengler in #825
• add small utilities to support do operator and corresponding tutorial by @AlexanderFengler in #832
• ready for v0.2.11 by @AlexanderFengler in #833

Full Changelog: v0.2.10...v0.2.11

v0.2.10

What's Changed

• Mark slow test onnx by @cpaniaguam in #711
• Carney workshop scientific workflow by @AlexanderFengler in #772
• Update numpyro, pymc, and arviz dependency versions by @digicosmos86 in #779
• Update numpyro to latest version (0.19.0) by @digicosmos86 in #780
• Refactor rng fn by @cpaniaguam in #783
• chore(deps): bump actions/checkout from 4 to 5 by @dependabot[bot] in #786
• Add link to explore Sequential Sampling Models by @AlexanderFengler in #802
• Use jaxonnxruntime for onnx model conversion by @digicosmos86 in #797
• fix bug that mistakenly checks for positive ndts on missing data by @AlexanderFengler in #782
• fixing tutorials by @AlexanderFengler in #814
• small tweaks to pre-commit by @AlexanderFengler in #815
• adding zenodo id by @AlexanderFengler in #817
• only include src/hssm by @AlexanderFengler in #818
• Improve setup env by @AlexanderFengler in #820
• Bump version to 0.2.10 in pyproject.toml by @cpaniaguam in #821

Full Changelog: v.0.2.8...v0.2.10

0.2.8

What's Changed

• Revert rldm by @krishnbera in #773

Full Changelog: v.0.2.7...v.0.2.8

0.2.6

What's Changed

• run notebooks that gave mkdocs error by @AlexanderFengler in #621
• Fix docs 2 by @AlexanderFengler in #622
• Replace Poetry with uv for dependency management and workflows by @cpaniaguam in #612
• Add citation to documentation by @digicosmos86 in #635
• Improve getting started tutorial by @cpaniaguam in #634
• Restore coverage badge by @cpaniaguam in #633
• 644 implement model registrator by @cpaniaguam in #651
• adding new vi tutorial by @AlexanderFengler in #656
• Lazy load by @cpaniaguam in #655
• 667 add zeus as optional dependency by @cpaniaguam in #670
• 672 create a supported models class property for hssm by @cpaniaguam in #673
• 668 add lanfactory as optional dependency by @cpaniaguam in #669
• Add type definitions for HSSM package and refactor imports by @cpaniaguam in #680
• add tutorials by @AlexanderFengler in #679
• P outlier defaults by @AlexanderFengler in #682
• Remove nb metadata but keep output by @cpaniaguam in #675
• rerun vi hier by @AlexanderFengler in #683
• Clean up colab widget metadata by @cpaniaguam in #684
• Update pymc version in pyproject.toml to 5.21.0 by @cpaniaguam in #687
• Create modelmeta module by @cpaniaguam in #681
• 660 ci exercise tutorial notebooks by @cpaniaguam in #674
• Add dependabot by @cpaniaguam in #695
• Update huggingface-hub version in pyproject.toml to >=0.25 by @cpaniaguam in #693
• Bump codecov/codecov-action from 4 to 5 by @dependabot[bot] in #696
• Extract lapse model application by @cpaniaguam in #701
• Fix model plot tut by @AlexanderFengler in #692
• Mark as slow: test_data_sanity.py by @cpaniaguam in #703
• Mark slow test plotting cartoon by @cpaniaguam in #713
• Mark slow: test distribution utils by @cpaniaguam in #704
• Mark as slow: test graphing by @cpaniaguam in #705
• Mark slow init vals by @cpaniaguam in #706
• Mark slow: test hssm by @cpaniaguam in #707
• Mark slow test likelihoods by @cpaniaguam in #708
• Mark slow test_missing_and_deadline by @cpaniaguam in #709
• Mark slow test_likelihoods_lba.py by @cpaniaguam in #710
• Mark slow test save load by @cpaniaguam in #714
• Mark slow register sample posterior predictive by @cpaniaguam in #715
• Mark slow test utils by @cpaniaguam in #716
• Load model config lazily by @cpaniaguam in #717
• Remove Python 3.12 from test matrix in GitHub Actions workflow by @cpaniaguam in #730
• Add DataValidator class by @cpaniaguam in #724
• 732 update ci workflows by @cpaniaguam in #733
• Quick fixes of some unit tests by @digicosmos86 in #748
• Reorganized the distribution_utils submodule by @digicosmos86 in #741
• Make the make_jax_logp_op function more general by @digicosmos86 in #742
• Utility function for checking the dataset for Reinforcement learning by @digicosmos86 in #752
• Incorporate RLDM likelihood function by @digicosmos86 in #746
• Fix rldm vjp function and update rlssm tutorial by @krishnbera in #755
• Optimize RLDM likelihood function by @digicosmos86 in #756
• Workflow for incorporating JAX functions into HSSM by @digicosmos86 in #753
• Added a tutorial on setting up a local development environment by @digicosmos86 in #759
• run 95% of tutorials to make sure that everything checks out by @AlexanderFengler in #762
• Add new rlssm model by @krishnbera in #763
• bump version by @AlexanderFengler in #761
• add testpypi index properly by @AlexanderFengler in #764
• include index for uv publish action by @AlexanderFengler in #765
• more adjustments by @AlexanderFengler in #766
• use publish-url by @AlexanderFengler in #767

New Contributors

• @dependabot[bot] made their first contribution in #696
• @krishnbera made their first contribution in #755

Full Changelog: v0.2.5...v0.2.6

0.2.7

What's Changed

• ignore rldm tutorials by @AlexanderFengler in #768
• bump to 0.2.7 by @AlexanderFengler in #769

Full Changelog: v0.2.6...v.0.2.7

0.2.5

What's Changed

• Fixed the build_and_publish workflow so it's not triggered and skipped on every PR by @digicosmos86 in #589
• 578 improve analytical likelihood by @cpaniaguam in #585
• fix: suppress buggy output from pytensor.function by @cpaniaguam in #595
• [Refactor] How parameters are represented in HSSM by @digicosmos86 in #590
• Fix global formulat bug by @AlexanderFengler in #604
• 596 add code coverage by @cpaniaguam in #600
• Plot improvements by @AlexanderFengler in #598
• 609 docs improve contributingmd by @cpaniaguam in #610
• add compile_logp convenience function by @AlexanderFengler in #607
• add save load functionality, test and tutorial by @AlexanderFengler in #616
• [DOC] Update to HSSM documentation for better organization and code formatting by @digicosmos86 in #614

Full Changelog: v0.2.4...v0.2.5

HSSM v0.2.4

What's Changed

• refactor: use fstring in error message by @cpaniaguam in #506
• Fix Param.update and add test case by @cpaniaguam in #505
• Fix validation and remove unnecessary assert statements by @cpaniaguam in #507
• Fix categorical variables bug by @AlexanderFengler in #513
• Fix compatibility with Bambi by @digicosmos86 in #516
• 537 initial vi support and tutorial by @AlexanderFengler in #545
• Fix initval setters leading to NotImplementedError by @AlexanderFengler in #547
• Workshop tutorial by @AlexanderFengler in #488
• Refactor test functions with parametrization by @cpaniaguam in #554
• Minor bug fixes by @digicosmos86 in #567
• Fix float32 vs float64 issue by @digicosmos86 in #568
• Release v0.2.4 by @digicosmos86 in #575
• Added HSSM.restore_traces() method by @digicosmos86 in #572
• Fixed error of parent parameter specification by @digicosmos86 in #576
• Revert changes to analytical likelihood function by @digicosmos86 in #583
• add working log likelihood computation to hssm class by @AlexanderFengler in #577

New Contributors

• @cpaniaguam made their first contribution in #506

Full Changelog: v0.2.3...v0.2.4

HSSM v0.2.3

What's Changed

• put in prep paper up front in readme by @AlexanderFengler in #467
• fix bug where resampling doesnt update the traces argument by @AlexanderFengler in #478
• Reconciliate re-sampling behavior by @digicosmos86 in #485
• Fix compatibility with PyMC>=5.16 by @digicosmos86 in #484

Full Changelog: v0.2.2...v0.2.3

HSSM v0.2.2

What's Changed

• Update documentation related to JAX by @digicosmos86 in #423
• Update pyproject.toml by @AlexanderFengler in #434
• Update documentation after hssm is available on conda-forge by @digicosmos86 in #428
• Allow users to specify the number of choices by @digicosmos86 in #430
• One-command support for JAX GPU by @digicosmos86 in #441
• 414 long running time of sample posterior predictive and eventual death by oom by @AlexanderFengler in #436
• Update reference to jax.config by @digicosmos86 in #443
• Fix ensure positive ndt by @digicosmos86 in #452
• fix key error bug when going through initialization, make safe priors… by @AlexanderFengler in #446
• Ready for v0.2.2 release by @digicosmos86 in #461

Full Changelog: v0.2.1...v0.2.2