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why use l1_loss(warped_cloth,c),different from paper said(warped_mask,cm)?
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In `04.3-Density-GMM.ipynb` of `In [3]`, it complains at `clf = GMM(4, n_iter=500, random_state=3).fit(x)` that:
```
/usr/local/lib/python2.7/dist-packages/sklearn/mixture/gmm.pyc in fit(self, X, y)
…
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replace this TFP code
https://github.com/probml/pyprobml/blob/master/notebooks/book2/10/vb_gmm.ipynb
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Could you let me know why .gmm extension used in this project? why not other extensions?
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Dear Mr.Qiuqiang Kong,
I would like to do Cross Validation to choose the best parameters such as # of states and # of observation.
-My data is 9 dimensions because 3 for camera data and 6 for IMU da…
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it seems not having LAPACK backend for eigen some of our tests are broken (see #4204), one of which is GMM.
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Hello!
I'm trying to run the hadge pipeline (v0.2.0) and am running into issues with the hashing demultiplexing side using conda. Wondering is this part of the pipeline considered stable? Using Nextf…
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Hi Gabriele
Insofar as I can tell, the GMM estimators in most of the code just use a first guess for the optimal weighting matrix, is that correct?
If you want, I can add some code to compute th…
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In tool hang task, the action dimension of Diffusion Policy is 10, different from the one of LSTM-GMM (it's 7). It's the same task and why are the action dimensions are different?
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thanks for model. i did not install it from requirements so stuck with errors.
and fixed em.
so to start it working with updated sklearn:
in **Voice-based-gender-recognition\Code\ModelsTrainer.py**…