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.