v0.0.14

What's Changed

New Features 🎉

• Implement Skellam distribution by @wd60622 in #260
• Implement BetaNegativeBinomial distribution by @wd60622 in #258
• Implement Maxwell Distribution by @wd60622 in #261
• Blackjax SMC from pymc models by @ciguaran in #267
• Add @as_model decorator by @theorashid in #268

Bugfixes 🪲

• Set data when building Linearmodel by @pdb5627 in #249

Maintenance 🔧

• Fix pymc module usage in KL by @HasnainRaz in #265
• Update r2d2m2cp.py by @ferrine in #245

New Contributors

• @wd60622 made their first contribution in #260
• @HasnainRaz made their first contribution in #265
• @ciguaran made their first contribution in #267
• @theorashid made their first contribution in #268

Full Changelog: v0.0.13...v0.0.14

v0.0.13

What's Changed

New Features 🎉

• Implement Chi distribution helper by @tvwenger in #239

Bugfixes 🪲

• Fix DiscreteMarkovChain logp by @ricardoV94 in #255
• Fix issues in pathfinder wrapper by @ricardoV94 in #238

Maintenance 🔧

• Fix CI errors in statspace test suite by @jessegrabowski in #251

New Contributors

• @tvwenger made their first contribution in #239

Full Changelog: v0.0.12...v0.0.13

v0.0.12

What's Changed

Maintenance 🔧

• Speed up test_fit_no_y by @pdb5627 in #234
• Change default_*_config from @Property to @staticmethod by @pdb5627 in #235
• Bump minimum PyMC dependency by @ricardoV94 in #240

Full Changelog: v0.0.11...v0.0.12

v0.0.11

What's Changed

Maintenance 🔧

• renamed to _generate_and_preprocess_model_data by @michaelraczycki in #232

Full Changelog: v0.0.10...v0.0.11

v0.0.10

What's Changed

New Features 🎉

• Merge statespace module from http://github.com/jessegrabowski/pymc_statespace by @jessegrabowski in #174
• Implement utility to change value variable transforms by @ricardoV94 in #216
• Allow do interventions to reference intervened variable by @ricardoV94 in #219

Maintenance 🔧

• Ignore constant shape dependencies in MarginalModel by @ricardoV94 in #226
• Fixing docstring by @michaelraczycki in #228

Full Changelog: v0.0.9...v0.0.10

v0.0.9

What's Changed

New Features 🎉

• Copy model-related shared variables in model_fgraph by @ricardoV94 in #218

Maintenance 🔧

• fixing second loading issue by @michaelraczycki in #220
• adding test for model_config_formatter helper function by @michaelraczycki in #222
• version bump for release by @michaelraczycki in #223

Full Changelog: v0.0.8...v0.0.9

v0.0.8

What's Changed

Bugfixes 🪲

• ModelBuilder.load versatility improvements by @michaelraczycki in #210

Maintenance 🔧

• Added seeding to draws in tests by @pdb5627 in #195
• Refactor modelbuilder fit by @pdb5627 in #198
• Implement limit case of R2D2M2CP for P by @ferrine in #182
• Revert "Refactor modelbuilder fit" by @michaelraczycki in #200
• rename missing to unobserved in test by @ferrine in #208
• Fix math in sigma attachment by @ferrine in #207
• arviz group warning suppressed by @michaelraczycki in #214
• version bump by @michaelraczycki in #215

Full Changelog: v0.0.7...v0.0.8

v0.0.7

What's Changed

Maintenance 🔧

• Update to pymc 5.5.0 by @michaelraczycki in #191
• version bump by @michaelraczycki in #193

Full Changelog: v0.0.6...v0.0.7

v0.0.6

What's Changed

Maintenance 🔧

• model_builder adaptations for full sklearn compat by @michaelraczycki in #189
• version changed to 0.0.6 by @michaelraczycki in #190

Full Changelog: v0.0.5...v0.0.6

v0.0.5

What's Changed

New Features 🎉

• Implement observe and do model transformations by @ricardoV94 in #168

Maintenance 🔧

• Pass kwargs through to pymc sample calls in ModelBuilder by @pdb5627 in #185

Full Changelog: v0.0.3...v0.0.5