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Is there anyway to evaluate mixture models such as the following [Sine-skewed sine (bivariate von Mises) mixture](https://num.pyro.ai/en/stable/examples/ssbvm_mixture.html) ? I tried using the followi…
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Hi,
I'm trying to run Admixture models on 93 samples from 12 populations with low coverage WGS data (~2.5X). I keep obtaining large log likelihoods with my models (see error output below), regardless…
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Weight Learning using Pseudo Log Likelihood.
Inference is not needed. Only Count is needed.
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Currently, the log likelihood calculation is the same one used in textmineR. This calculation makes sense to me given the conventional definition of likelihood: probability of the data given the model…
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Hi, there! Thanks for your awesome work!
I am trying to get some stats (logpX, logpZ) from the model. And I used your pre-trained model on celebA-64x64 images.
When handling logpZ, I saw you first…
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The info messages for deviance and log-likelihood for GLMM need to be double checked and a help page summarizing the lme4 deviance and log-likelihood tables added.
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Hello. I had completed running one dataset successfully thanks to your help before but with a new one I ran into a strange error that I received after the program was running fine for 2 days, that I d…
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In this line,
https://github.com/SamsungLabs/pytorch-ensembles/blob/76b71c9ea3886e3a7fece9ddc3740e26f64ecbaa/utils/swag_model.py#L231
Isn't scale supposed to be the square root of variance?
So, …
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As I'm working on #373, I've been puzzling over the question about the proper parameters for sampling the log likelihoods. Right now, we randomly select 500 from those that have have `lnP > max(lnP) …
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To replicate error use dataset at: https://www.kaggle.com/datasets/lashagoch/life-expectancy-who-updated/data
```python
import pandas as pd
import pregress as pr
df = pd.read_csv("Life-Expect…