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Dumping of statistical results #19
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Brilliant, really nice to see these ideas moving forward (a lot of this has been discussed among the community in recent times). cc @benkrikler - folks, I would like to organise a PyHEP WG meeting early next year as a follow-up to the fitting topical meeting we had. Seems to me that fitting tools and connections to statistics tools are a hot and important topic. What would be the timescale for you folks to be available for a dedicated meeting? I would imagine a couple of short presentations and a few slides backing up an open discussion. We can continue this discussion offline as it's far more general than this repo :-D. |
Yes, that sounds good, I am mostly available in the new year. Additionally, we also discussed the storage of the likelihood, most importantly of the fitting model. Since this is a larger topic, maybe overlapping with preservation (?), do you know by chance people that are also working on that? |
Good point, @mayou36. I do know at least 2 relevant people, namely Lukas and Matthew from the pyhf team. I will throw an email soon to start organising a meeting … Not to be done here on GitHub. |
Thanks, @eduardo-rodrigues those I know and we're already in contact. In fact, it's them, Carsten (from RooFit) and me who are mostly interested in this. |
I thought you would … I think we will get more names is the preparations of a meeting, especially that I will include the HSF analysis WG in there too, since the link is very relevant in this instance ... |
After a chat yesterday at CERN with @mayou36 and Carsten, a RooFit developer, we concluded that storing the results of
hepstats
is crucial as they can be reused, for plotting for instance, without re-running CPU-intensive calculations done inhepstats
.The idea is to store in a dictionary:
This dictionary can be easily serialised into yml or json file.
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