v0.0.3

What's Changed

Major Changes 🛠

• Remove HSGP as it became a part of PyMC by @ferrine in #136

New Features 🎉

• Add build_model abstractmethod to ModelBuilder by @michaelraczycki in #142
• Add DiscreteMarkovChain distribution by @jessegrabowski in #100
• Add Generalized Poisson distribution by @ricardoV94 in #143
• Add utility to convert Model to and from FunctionGraph by @ricardoV94 in #111
• Add r2m2d2cp prior by @ferrine in #137
• Merging BayesianEstimator into ModelBuilder by @michaelraczycki in #165

Bugfixes 🪲

• Seed flaky test by @ricardoV94 in #128
• Return posterior predictive samples from all chains in ModelBuilder by @mbjoseph in #140

Documentation 📖

• Update API reference listings by @ricardoV94 in #105
• Add codecov badge to Readme by @michaelraczycki in #157

Maintenance 🔧

• changed id of model_builder to property, added type hinting by @michaelraczycki in #110
• Model builder tests by @michaelraczycki in #114
• storing model_config and sampler_config changed to json string by @michaelraczycki in #122
• Test on last release of PyMC instead of main by @ricardoV94 in #125
• Fix PyMC API change in 5.2.0 by @ricardoV94 in #124
• Model Builder refactoring by @michaelraczycki in #131
• release preparation by @michaelraczycki in #134
• Make pytest fail on uncaught warnings by @michaelraczycki in #133
• removed unused *args from fit, added named args to sampler_config by @michaelraczycki in #149
• docstrings update in model_builder.py by @michaelraczycki in #148
• updating api_reference.rst by @michaelraczycki in #150
• Automate pypi release by @michaelraczycki in #135
• fixed test failing due to infinite precision requirement by @michaelraczycki in #153
• Doctest setup by @michaelraczycki in #159
• replacing versioneer by @michaelraczycki in #164
• Initial draft of version of model_builder to work with scikit-learn. by @pdb5627 in #161
• fixing broken docs reference by @michaelraczycki in #166
• add default to argument to prior util by @ferrine in #93
• version change by @michaelraczycki in #171
• adjusting test pypi publish by @michaelraczycki in #176

New Contributors

• @michaelraczycki made their first contribution in #110
• @mbjoseph made their first contribution in #140
• @jessegrabowski made their first contribution in #100
• @pdb5627 made their first contribution in #161

Full Changelog: v0.0.2...v0.0.3

v0.0.2

What's Changed

• Adds 3 basic implementations of approximations for gp.Latent by @bwengals in #3
• Histogram trick by @ferrine in #38
• Add Spline Interpolation using basis functions by @ferrine in #52
• Initialize a prior from a fitted posterior by @ferrine in #56
• Add wrapper for running blackjax pathfinder by @twiecki in #72
• Add model_builder helper #6023 on pymc by @5hv5hvnk in #64
• Add Genextreme distribution by @ccaprani in #84
• Implemlinear conjugate gradients by @kunalghosh in #62
• Initial commit of pivoted Cholesky algorithm from GPyTorch by @kunalghosh in #63
• Automatic marginalization of finite discrete variables in the logp by @ricardoV94 in #91

New Contributors

• @OriolAbril made their first contribution in #31
• @ferrine made their first contribution in #36
• @twiecki made their first contribution in #72
• @5hv5hvnk made their first contribution in #64
• @ccaprani made their first contribution in #84
• @kunalghosh made their first contribution in #62
• @junpenglao made their first contribution in #86

Full Changelog: v0.0.1...v0.0.2

test

v0.0.1

fix typos (#29)