Releases: PyAutoLabs/PyAutoFit
Releases · PyAutoLabs/PyAutoFit
March 2022
- Sensitivity mapping now have options for customizing priors on the sensitivity component.
- New API for aspects of graphical models.
Winter 2022 Release
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:
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
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
0.72.2 - requirment bump.