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Releases: PyAutoLabs/PyAutoFit

March 2022

21 Mar 12:59

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  • Sensitivity mapping now have options for customizing priors on the sensitivity component.
  • New API for aspects of graphical models.

Winter 2022 Release

14 Feb 19:25

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This release primarily includes a lot of continued develop of the graphical modeling framework:

https://pyautofit.readthedocs.io/en/latest/features/graphical.html

There are now 4 fully functional tutorials on graphical models in the autofit_workspace, which include expectation propagation and hierarchical models:

https://github.com/Jammy2211/autofit_workspace/tree/release/notebooks/howtofit/chapter_graphical_models

The release contains a lot of small improvements and additional features to the database, search grid search and general model-fitting. These are documented throughout the autofit_workspace.

Summer Release

12 Aug 17:53

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We have switched to a date-based numbering system, with a long-term to do an overnight build nightly.

  • Add scipy LBFGS as optimizer.
  • Fixed bugs where building of database via scrape method would not support all queries.
  • Database and Aggregator support for GridSearch objects and results.
  • Improvements to unique identifier including option to exclude certain values from being tracked.
  • Interal storage of mappings between priors and model now uses the string representation of the prior with an id, to ensure there is no ambuigity in matching,
  • Further development on graphical modeling framework, primarily refactoring of existing code.

First release for Zenodo

03 Feb 12:00

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0.72.2

- requirment bump.