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At the danger of being a Bayesian fascist here, let me make some recommendations for naming conventions.
I.e. the file ```gaussian_variational.py``` is just defining a maximum likelihood graph_nn, …
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Script demonstrating how to use `libsbn` to train parameters of variational approximations.
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I am sorry to bother you, I've just check very simple an example. The result seems strange.
```
c= Corpus([Document([1,2,3]),Document([1,2,3]),Document([1,2,3]),Document([1,2,3]),
Doc…
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In the code below you set the loss to be equal to `criterion(outputs, labels)` on each iteration of the loop - as such this I don't believe this is increasing the value of the loss for each sample?
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I consider a PLNnetwork model with 10 different sets of covariates (line type and color in the plots). I use the same code to fit the models and compute de BIC criterion to chosoe the covariates and t…
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## 🚀 Feature
Many users are surprised that `Distribution` objects are not `nn.Module`s, and that updating input parameters does not change a distribution. This issue aims to explain the current state…
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# 🐛 Bug: `gpytorch.models.ApproximateGP` compatibility
## To reproduce
** Code snippet to reproduce **
```python
import gpytorch, torch, numpy as np, matplotlib.pyplot as plt, tqdm, botorc…
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## Description of your problem
Deprecation warnings are raised due to invalid escape sequences. This can be fixed by using raw strings or escaping the literals.
```
find . -iname '*.py' | grep…