May 2024

This release corresponds to the Journal of Open Source Software (JOSS) publication of PyAutoCTI.

PyAutoFit:

• Nautilus now outputs results on the fly: rhayes777/PyAutoFit#961
• Output latent samples of a model-fit, which are parameters derived from a model which may be marginalized over:

PR: rhayes777/PyAutoFit#994
Example: https://github.com/Jammy2211/autofit_workspace/blob/release/notebooks/cookbooks/analysis.ipynb

• model.info file displays complex models in a more concise and readable way: rhayes777/PyAutoFit#1012
• All samples with a weight below an input value are now removed from samples.csv to save hard disk space: rhayes777/PyAutoFit#979
• Documentation describing autofit scientific workflow: rhayes777/PyAutoFit#1011
• Refactor visualization into stand alone module: rhayes777/PyAutoFit#995
• Refactor how results are returned after a search: rhayes777/PyAutoFit#989
• Improved parallelism logging: rhayes777/PyAutoFit#1009
• Likelihood consistency check now performed internally: rhayes777/PyAutoFit#987
• Generation of initial search samples is now performed in parallel: rhayes777/PyAutoFit#997
• No longer store search_internal on hard-disk. simplifying source code internals: rhayes777/PyAutoFit#938
• Multiple small bug fixes and improvements to interface.