v1.2.0dev0

What's Changed

• Add sdsge-ls git submodule by @GongJr0 in #60
• Coverage update by @GongJr0 in #61
• Accept list for steady_state and normalize to array by @GongJr0 in #63
• Linearization support by @GongJr0 in #64

Full Changelog: v1.1.0...v1.2.0dev0

v1.1.0

What's Changed

• DHM Test by @GongJr0 in #58

Full Changelog: v1.0.1...v1.1.0

v1.0.1

What's Changed

• Config to yaml by @GongJr0 in #54
• Support injecting ModelParametrizer into fit_kf by @GongJr0 in #55
• Coverage update by @GongJr0 in #56

Full Changelog: v1.0.0...v1.0.1

v1.0.0 | Major Release

What's Changed

• Bayesian optimize by @GongJr0 in #47
• Add parametrize_additive and parametrize_all strategies by @GongJr0 in #48
• Lkj prior by @GongJr0 in #51
• Add contributing guide and docs by @GongJr0 in #52

Full Changelog: v0.5.3-beta...v1.0.0

v0.5.3-beta

What's Changed

• Semi compiled mcmc by @GongJr0 in #46

Full Changelog: v0.5.2-beta...v0.5.3-beta

v0.5.2-beta

What's Changed

• Add docs for SolvedModel.fit_kf and MCMCResult HPD by @GongJr0 in #38
• Compiled kalman by @GongJr0 in #42
• Compiled kalman by @GongJr0 in #43
• Vendor linearsolve and switch to local import by @GongJr0 in #45

Full Changelog: v0.5.1-beta...v0.5.2-beta

v0.5.1-beta

What's Changed

• Use low/high naming for priors & add docs by @GongJr0 in #33
• Coverage improvement by @GongJr0 in #34
• Clarify prior support checks/messages by @GongJr0 in #35
• Add symbolic-regression KF fitting and utils by @GongJr0 in #37

Full Changelog: v0.5.0-beta...v0.5.1-beta

Initial Beta Release

What's Changed

• Non-Linear Measurement Equations by @GongJr0 in #19
• Module Re-organization by @GongJr0 in #22
• Pre-Release SR functionality by @GongJr0 in #24
• Extended Kalman Filter by @GongJr0 in #26
• Bayesian estimation by @GongJr0 in #31
• Documentation update by @GongJr0 in #32

Full Changelog: v0.2.2-alpha...v0.5.0-beta

Alpha Release | Iteration 6

Kalman Filter Integration Pipeline

This release delivers a comprehensive refactor of the Kalman filter pipeline. It introduces a dedicated configuration system and a new interface for streamlined filtering on SolvedModel.

Additions

• Introduced a full KalmanConfig system for configuring filtering behavior.

• Added a KalmanInterface for running filters directly on SolvedModel.

• Added support for filtered observables (y_filt) in FilterResult.

• Added YAML‑level support for kalman: configuration blocks in model definitions.

• Added richer observable and measurement‑error structures to model YAMLs.

Changes

• Updated the solver and parser to integrate Kalman configuration.
• Improved naming, structure, and typing across Kalman‑related modules.

HOTFIX

[HOTFIX] Package target issue at release v0.2.0-alpha

Version 0.2.0 was mistakenly released with the package directory misconfigured at build-time. The issue has been fixed and the fully functional wheel was uploaded to PyPI via release v0.2.1.