Oriol Abril-Pla
Oriol Abril-Pla
Missed that message somehow. We don't have that yet, and I'm not too familiar with the method so I'm not sure if it should be here or at bambi cc...
It looks like E_loo or equivalent should go in ArviZ and use the data in posterior predictive group. loo_predict (and similars) would go in bambi (if the posterior predictive group...
xarray datasets allow storing any attributes in the `dataset.attrs` dict, where we store the versions, time... I think ideally this would go there. There is one caveat however which is...
related to https://github.com/arviz-devs/arviz/issues/420
Hi, thanks for getting this rolling @jessegrabowski! Trying to catch up. 1. There should not be any inconsistencies due to that. `ess` and the different methods are tested quite thoroughly...
as a reference, * numpy: https://numpy.org/about/#sponsors, * jupyter: https://jupyter.org/about#sponsors * pymc https://github.com/pymc-devs/pymc/blob/main/GOVERNANCE.md#institutional-partners-and-funding (in progress) follow the same pattern. However, I can't find anything on numpy nor jupyter governance on sponsors,...
Got the reference for numpy: https://numpy.org/neps/nep-0046-sponsorship-guidelines.html
giving a shot at this in https://github.com/arviz-devs/arviz_governance/pull/3
We will need to look into this. It is somehow related to netcdf 1.6 but I have no idea why all tests which have already run on netcdf 1.6 continue...
cc @Rishabh261998