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There are various ways this could be done:
* purely from samples. pros: model agnostic, cons: high variance, need to use a kernel method
* using mixture of gaussians: pros: lower variance, cons: ver…
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Using : pip install git+https://github.com/ajmendez/PyMix.git
Here is the error :
arch x86_64 -arch x86_64 build/temp.macosx-10.5-x86_64-2.7/pymix/C_mixextend.o -lgsl -lgslcblas -lm -o build/lib.ma…
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Some features of an object/action may vary within some range. Apples can be red or green, for example. Bananas can be yellow, but [apparently](https://en.wikipedia.org/wiki/Red_banana) they can also b…
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I wrote the following function to predict the posterior probability of being in the zero-inflation state for the discrete zero-inflated families in `brms`. If of interest, I'll submit a PR with doc +…
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A ver si logramos usar el algoritmo en el método `early_setup()` de un agente.
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## 一言でいうと
ドメインの異なる潜在表現(音声と画像など)を転移させる研究。双方の潜在表現を共通の潜在表現から生成するためのブリッジ用VAEを学習するという形。このVAEは、各ドメインの潜在表現の復元に加え、それらの分類、また意味が同一の場合(「4」という画像と音声など)の距離最小化から学習する。
![image](https://user-images.githubusercon…
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Most of methods in the list will be implemented in the order.
- inference for Sparse Gaussian process regression (based on JMLR 2005 "A unifying view of sparse approximate Gaussian process regression…
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I am really a beginner in this field and having a hard time to learn theory and practical implementations at the same time. Can someone provide an example on variational inference on some simple model…
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Slightly adapted from [this SO post](https://stackoverflow.com/questions/77929686/error-with-relaxed-poisson-regression-in-tidymodels)
``` r
library(poissonreg)
#> Loading required package: parsn…
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**Describe the bug**
Silhouette score and its visualization can be calculated for Gaussian Mixture Model outputs, while this library currently does not support this.
**To Reproduce**
I used the…