Liesel v0.3.2

What's Changed

• Adds edge to plot_vars if input is used in value while var has distribution by @wiep in #231
• Allow transformation of weak vars by @jobrachem in #235
• Update optim_flat by @jobrachem in #239
• Implement Var.plot_vars and Model.plot_vars by @jobrachem in #230

Maintenance Changes

• Update distreg.py by @jobrachem in #225
• Weaken jax version pin to <0.5.0, closes #214 by @jobrachem in #232
• unpin jax by @wiep in #238
• Fix test warnings by @jobrachem in #233

Full Changelog: v0.3.1...v0.3.2

Liesel v0.3.1

What's Changed

• Update linear regression tutorial and readme by @jobrachem in #226
• Add some informative error messages (closes #222, #219) by @jobrachem in #224
• Transform Variables Without Distributions (closes #216) by @jobrachem in #223
• Fixes issue with custom log prob in liesel models by @wiep in #228

Full Changelog: v0.3.0...v0.3.1

Liesel v0.3.0

This is a big update!

Major changes

• New constructors for lsl.Var: lsl.Var.new_param, lsl.Var.new_obs, lsl.Var.new_calc, lsl.Var.new_value by @jobrachem in #201
• Easier access to and manipulation of node inputs via square-bracket syntax by @jobrachem in #202
• Introducing lsl.Var.transform: Supersedes lsl.GraphBuilder.transform by @jobrachem in #174
• gs.optim_flat: A function for applying stochastic gradient descent to a simple Liesel model by @jobrachem in #175
• Rename lsl.Data -> lsl.Value by @jobrachem in #170
• Add helper functions to define B-spline bases and penalty matrices by @GianmarcoCallegher and @jobrachem in #203

Minor changes

• Enable progress bar for MCMC sampling in Jupyter notebooks by @jobrachem in #208
• Warn about missing PyGraphviz installation when plotting a lsl.Model by @jobrachem in #209
• Avoid hardcoded conversion to float32 in GraphBuilder by @jobrachem in #204
• Update logging setup by @jobrachem in #187
• Turn off update_on_init for special model nodes by @jobrachem in #186
• Fixed unexpected behaviour in plot_vars when using an intermediate Calc by @GianmarcoCallegher in #168

Maintenance

• Remove filter warnings from pyproject by @GianmarcoCallegher in #190
• Fix tutorials by @jobrachem in #191
• Update docs base URL handling by @jobrachem in #197
• Unpin scipy by @jobrachem in #198
• Update graph plots in docs by @jobrachem in #200

Full Changelog: v0.2.9...v0.3.0

Liesel v0.2.9

• 🚧 Pinned scipy version to <=1.12 (@jobrachem)
• 🚧 Handeled error in liesel.model.model.transform for duplicated nodes (#167, @GianmarcoCallegher)
• ✨ lsl.Calc nodes will now try to evaluate their function upon initialization. This can make it much easier to spot errors early. The behavior can be turned off by passing update_on_init=False. (#92, @jobrachem)

liesel v0.2.8

• ✨ Added NamedTupleInterface (#151, @wiep)

liesel v0.2.7

• ✨ Large documentation updates! (#149, #146, #145, #143, #135, #134, @jobrachem; #144, #140, @GianmarcoCallegher)
• ✨ The method gs.Summary.error_df() is now publicly available. (#137, @jobrachem)
• ✨ The class liesel.goose.engine.SamplingResults is now exported via liesel.goose, which means it can be used as gs.SamplingResults. (@jobrachem)
• ✨ Improved the efficiency of the liesel.distributions.mvn_degen.MultivariateNormalDegenerate.from_penalty constructor (#101, @GianmarcoCallegher)
• ✨ Added alternative constructor .from_penalty_smooth to MultivariateNormalDegenerate (#133, @GianmarcoCallegher)
• 🚧 Added observed=True to a pd.DataFrame.groupby() call in goose/summary_m.py to silence a warning due to a deprecation in pandas v2.1.0
• 🚧 Renamed lsl.Param to lsl.param and lsl.Obs to lsl.obs to reflect the fact that those are functions, not classes. The old names are deprecated and scheduled for removal in v0.4.0. (#130, @jobrachem)
• 🚧 Renamed/moved the following symbols. The old names are deprecated and scheduled for removal in v0.4.0. (#136, @jobrachem)
  • liesel.model.goose.GooseModel -> (renamed/moved) liesel.goose.interface.LieselInterface
  • liesel.goose.models.DictModel -> (renamed/moved) liesel.goose.interface.DictInterface
  • liesel.goose.models.DataClassModel -> (renamed/moved) liesel.goose.interface.DataclassInterface
• 🚧 Some maintenance updates to stay up to date with dependencies (#147, #141, #102, @GianmarcoCallegher; #139, @wiep; #109, @jobrachem)

Edit: The version number was too high in __version__.py. I updated the release title to fit the version number. Now there is just no liesel v0.2.6 on pypi.

liesel v0.2.5

• 🚧 Updated for compatibility with Blackjax 1.0.0 (#100, @wiep & @hriebl)
• 🚧 Updated for compatibility with the latest mypy update (#97, @wiep & @hriebl)
• ✨ Added functionality for easy setup and customization of initial value jittering (#72, @GianmarcoCallegher & @hriebl)
• ✨ Improved error messages in lsl.Calc.update() (#84, @jobrachem)
• 🚧 Fixed a bug in gs.plot_param() (#81, @viktoriussuwandi)
• 🚧 Fixed an error in the tutorial on linear regression (#85, @jobrachem)
• 🚧 Fixed the display of the plot title in gs.plot_scatter() (#98, @hriebl)

All commits since v0.2.4

liesel v0.2.4

What's new?

• 🚧 Removed all references to jax.numpy.DeviceArray to make Liesel compatible with Jax 0.4.14 (#73, @jobrachem)
• ✨ Added a visual distinction for edges that represent a connection to a variable's distribution or value (#76, @GianmarcoCallegher)
• ✨ Added ls.Model.simulate(), which provides a convenient way to draw random samples from a Liesel model using the specified priors. (#70, @hriebl)
• ✨ Added liesel.model.goose.finite_discrete_gibbs_kernel, which helps you to automatically set up a gs.GibbsKernel for a discrete variable (#64 & #65, @jobrachem and @hriebl)
• ✨ Added an intialization message to gs.Engine (#66, @GianmarcoCallegher)

All commits since v0.2.3

liesel v0.2.3

What's new?

• 📖 Improved documentation (#47, #48, @jobrachem, @hriebl)
• ✨ Added convert_dtype to graph builder (#50, @hriebl)
• ✨ New overview page for tutorials (#62, @jobrachem)
• ✨ New tutorial on advanced group usage (#63, @jobrachem)
• ✨ Added a method to convert sampling results to arviz's inference data (#49, @wiep)
• 🚧 Changes __repr__ for multiple classes in liesel.model (#57, @wiep)

All commits since v0.2.2

liesel 0.2.2

What's new?

• 🚚 The tutorials have been updated to v.0.2.2 and are now part of the documentation (@jobrachem, @wiep, @hriebl, @GianmarcoCallegher)
• ✨ Added new tutorial showcasing the interface to PyMC (@GianmarcoCallegher)
• ✨ Added node / variable groups (#28, @jobrachem)
• ✨ Sampling from the MultivariateNormalDegenerate is now possible (#34, @jobrachem)
• 🚧 Fixed undefined behaviour in the distreg module (#20, @hriebl)
• 🚧 The distreg module will now use variables names as position keys (#22, @hriebl)

All commits since 0.2.1