Comments (2)
Thanks for pointing out that issue @vandalt!
Right, this is something that I had implemented recently. The problem is that the ndim
of the stored samples from run_mcmc
is 3, while the ndim
from run_multinest
is 2. In the latter case the shape if (nsamples, nparams)
.
It would be great if you could create a PR which solves this issues and takes the two ndim
cases into account.
By the way, when using FitModel
, the run_multinest
function has more features compared to run_mcmc
and convergences more easily in case the posterior is multimodal. It also returns the evidence which can be used for model comparison.
from species.
Right, I had not tried run_multinest
so far so I did not think about that part, thank you.
I will create a PR that handles both cases. Ellipsis would probably be the best way to achieve this (i.e. samples[..., i]
).
Thanks for the tip about run_multinest
vs run_mcmc
.
from species.
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