Changelog

[0.9.0] - 2026/04/13

Added

  • Adding support for categorical parameters.

  • Adding support for constant parameters.

  • Adding Hydra wrapper class.

  • Adding TorchX wrapper class.

Fixed

  • Fixed broken functional test for dynesty wrapper for Bayesian inference.

[0.8.0] - 2026/04/11

Added

  • Adding getters for X, Y, parameters, and simulation ID properties.

  • Including tutorial on uncertainty analysis.

  • Adding conventional pre-commit.

Changed

  • Removed hydra and torchx dependencies.

  • Updating dependencies with security vulnerabilities.

Fixed

  • Fix for aptitude installation on GitHub Actions.

  • Renamed ‘_all__’ to ‘__all__’ in __init__.py files.

  • Using double quotes for all __all__ elements.

[0.7.0] - 2026/02/11

Added

  • Included tutorials for optimisation, sensitivity analysis, Bayesian calibration, history matching, and surrogate modelling.

  • Specified devcontainer configuration.

[0.6.3] - 2026/02/07

Added

  • Added dynesty sampler implementation.

  • Included storage parameter for calibration specification data model.

Fixed

  • Fix for calisim.statistics.discrepancy.get_distance_metric_func() module path.

[0.6.2] - 2025/10/09

Added

  • Added Binder Dockerfile.

[0.6.1] - 2025/08/10

Fixed

  • Fixing multiprocessing support for SALib.

[0.6.0] - 2025/04/27

Added

  • Added unit and functional tests for calisim modules.

[0.5.0] - 2025/04/25

Added

  • Implemented likelihood-based discrepancy metrics.

  • Included log likelihood for fully Bayesian calibration examples.

Fixed

  • Refactored logic for best parameter estimates to always set estimates.

  • Debugged parallelisation and plot rendering for pyABC wrapper.

[0.4.0] - 2025/04/06

Added

  • Implemented Lorenz 95 and anharmonic oscillator example models.

  • Added replicate sampling functionality, particularly for stochastic simulators.

  • Incorporated several new discrepancy functions.

  • Included experimental support for the Ensemble Kalman Filter.

[0.3.1] - 2025/03/30

Added

  • Implemented experimental support for the ELFI library.

  • Implemented ELFI wrapper for ABC.

  • Implemented ELFI wrapper for likelihood-free inference.

Fixed

  • Added multi-objective support for Optuna.

[0.3.0] - 2025/03/24

Fixed

  • Removing Python 3.13 support.

Fixed

  • Unpinning PyMC for Python 3.13 support.

[0.2.3] - 2025/03/24

Fixed

  • Unpinning PyMC for Python 3.13 support.

[0.2.2] - 2025/03/24

Fixed

  • Downgrading pygpc for Python 3.13 support.

[0.2.1] - 2025/03/21

Fixed

  • Widened range of supported versions of Python.

[0.2.0] - 2025/03/20

Added

  • Implemented EvoTorch wrapper.

  • Included calisim logo.

  • Bundled in TorchX as optional dependency.

  • Incorporated Docker image build.

Changed

  • Fleshed out documentation in README.

Fixed

  • Added checks for the optional importing of PyTorch.

  • Included missing API documentation for models.

[0.1.0] - 2025/03/17

Added

  • Open sourcing calisim Python package.

  • PyPI deployment.

  • ReadTheDocs deployment.

Changed

  • Configuring CI/CD builds for testing, linting, and publishing.