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[ascl:2102.028] PyAutoFit: Classy probabilistic programming

PyAutoFit supports advanced statistical methods such as massively parallel non-linear search grid-searches, chaining together model-fits and sensitivity mapping. It is a Python-based probabilistic programming language which composes and fits models using a range of Bayesian inference libraries, such as emcee (ascl:1303.002) and dynesty (ascl:1809.013). It performs model composition and customization, outputting results, model-specific visualization and posterior analysis. Built for big-data analysis, results are output as a database which can be loaded after model-fitting is complete.

Code site:
https://github.com/rhayes777/PyAutoFit
Used in:
https://ui.adsabs.harvard.edu/abs/2020arXiv201013221H
Described in:
https://ui.adsabs.harvard.edu/abs/2021arXiv210204472N
Bibcode:
2021ascl.soft02028N

Views: 230

ascl:2102.028
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