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Hi guys, you are doing a great job with this repo.
I have a task that requires some special requirements.
Say an SPN specifies a joint distribution over the following set of variables:
x_1, x_…
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```
Currently the posterior marginals for the fitted values are computed from the
posterior marginals of the linear predictor, using the inverse.link.
As the postmarg for the lin.pred is a mixture,…
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```
Currently the posterior marginals for the fitted values are computed from the
posterior marginals of the linear predictor, using the inverse.link.
As the postmarg for the lin.pred is a mixture,…
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I am having issues using celerite2 with PYMC. In the past (with PyMC3) I always used `gp.marginal(observed=y-extra_model)` in order to sample models which included both GP and other variables (i.e. a …
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### What happened?
The script below produces the exception:
```
RuntimeError: NotYetImplementedException :
In PointToFieldFunctionImplementation::getMarginal(const Indices & indices) const
```…
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Thank you for such wonderful package.
I have categorical Treatment (value = 0, 1, 2) and I used DML.
The effect of the treatments is below.
Then I tried the marginal effect with base treatmen…
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As part of https://github.com/elastic/elasticsearch-py/issues/2620 , elasticsearch store mmr search allows query or query_embeddings optionally. It would be nice to have it in https://github.com/langc…
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Hello,
I am trying to run a joint inference from the SFS of 2 different populations and I have some questions regarding the process.
1. From the nature of my data and my questions, I only want t…
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Dear authors,
I am very curious about the three dangling detection modules' training time,
![image](https://user-images.githubusercontent.com/83653534/191277806-f902b465-ba73-4064-83d8-4f07241978…
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Sometimes we're only interested in the marginal posterior rather than the joint posterior. One way to compute this if we have a batch of `b x q x d` points (where `b` is the batch dimension, `q` is t…