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I amfacing this issue while running the train.py command
I am using CUDA=10.0 and GPU= GeForce GTX 1660 Ti
COMMAND : python train.py --task=QG --model=NQG --load_glove=True --feature_rich --d…
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I simulated some data and fit the following model to the data. I get poor inference. i.e., the results don't really match up with the simulation truth. Particularly, I tend to learn 4 to 5 clusters wh…
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@cranmer Can you comment on the typical use case? Or maybe just a typical RooFit example with multiple channels?
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Hi, I am using `hmmlearn` to train a left-right hmm model with dozens of wav files.
```
self.pi_prior = np.array([1, 0.0, 0.0, 0.0, 0.0])
self.A_prior = np.array([[0.6, 0.4, 0.0, 0.0, 0.0],
…
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**Describe the bug**
I am having a bit of trouble reproducing the results for edge probing tasks. Various people seemed to have reported various results. For simplicity, I will use the example for Co…
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Hi,
I have used the RelaxedBernoulliStraightThrough distribution in my model in a code block like this:
```
with obs_plate:
I_cm = pyro.sample('I_cm',
…
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Hi,
I'm attempting to use BayesPy with a somewhat large hierarchical model. My model has a structure including 10 nodes (9 Categorial, 1 Multinomial). Each of the Categorical nodes has an unknown Dir…
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Hello,
I am interested in using bayespy to learn the parameters of a large DAG. My understanding (and, please, correct me if I'm wrong) is that parameter learning using Variational Bayes should be fa…
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## The problem
When running `tune_grid` for `glmnet` poisson regression models the predictions returned by `collect_predictions()` appear to contain negative values (it looks as though they are on …
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The proposed weighted GMM is：
but for two variable x1, x2 with different weight w1,w2,…