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How do Gaussian mixture models play a part in SBMs?
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After looking at the [sklearn code](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/mixture/gaussian_mixture.py) and seeing the huge number of possible places that `CovOption` can com…
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I have noticed that on many problems the `score_samples()` function in `sklearn.mixture.BayesianGaussianMixture` consistently gives lower test set likelihoods than just taking the posterior mean param…
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it will Raise RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! if gmm.fix(x) be used in the second time. I dont konw hao to fix it. The code…
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```
source: https://num.pyro.ai/en/stable/tutorials/gmm.html#MCMC
numpyro.__version__: 0.12.1
jax.__version__: 0.4.13
```
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When running the collapsed NUTS to explore the full posterior, t…
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Hello, thank you for your great work. But I still have some puzzles:
1) Why are the probabilities of the three Gaussian distributions of all samples 1,0,0 after the 2D data is fitted by GMM? That is,…
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# MFA Step6
已执行
```
mfa validate \
--overwrite \
--clean \
--single_speaker \
data/DataBaker/mfa/lab \
data/DataBaker/mfa/mfa_pronounciation_dict.txt
```
执行报错
```
mfa train \
--overwr…
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Hello, I am trying to initialize a simple toy model with the parameters of a GMM (m_s and τ_s ) as point masses, however I get an error
**_ERROR**: The number of means and precisions in `NormalMixt…
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MCLUST (http://www.stat.washington.edu/mclust/) is the standard package for mixture modeling in the stats world. essentially, it is doing model based clustering as described in Fraley and Raftery, 200…
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One obvious way to do this is to this would be to just do centroid matching with the means of the distributions' means. But can we use the covariance of the distributions too?