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Support `Ops` group operations, but potentially not with base R's recycling rules.
https://mc-stan.org/posterior/articles/rvar.html#broadcasting
cc: @mjskay
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I am implementing a Stabel Diffusion on my dataset (with weather images of size (200, 320)). I found the images reconstructed by the vanilla VAE - used by Stable Diffusion by default - are very vague.…
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words = posterior(m)$terms[topic, ]
Error in UseMethod("posterior") :
no applicable method for 'posterior' applied to an object of class "c('LDA_Gibbs', 'LDA', 'Gibbs', 'TopicModel')"
I'm ge…
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# 🚀 Feature Request
I would like to define a custom q sample shape when instantiating Q acquisition function without knowing the posterior.
## Motivation
The MCSamplerMixin allows the use of …
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For many applications, one needs to pass a function that evaluates the cost (or the log-posterior) from the control vector. For instance:
1. MCMC sampling: samples=MCMC(logpost_function, starting_poi…
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**Describe the bug**
Hello, I got an `ImportError` when trying to import `posterior_nn` from `neural_nets`.
**To Reproduce**
`sbi` version 0.23.1
```
>>> from sbi.neural_nets import posterior_n…
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Hi @theGreatHerrLebert , Thansks for your great work! I followed the README documentation but got PSM all scored as 1. So, how do I calculate and get the posterior error, spectrum q, peptide q, protei…
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I try to reconstruct ancestral sequence of protein. I use the parameters under (i cut protein for you to see better) :
begin data;
dimensions ntax=4 nchar=1057;
format datatype=protein missing…
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In the weights_of_evidence.ipynb notebook, the workflow is demonstrated only for a single evidential raster. How to apply this to multiple evidential rasters and then calculate the posterior probabili…
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Is there a way of extracting equivalent widths from the posterior photometry model? I can't see it anywhere in the code and the data in spec_post isn't at a high enough resolution to manually calculat…