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1. I'm trying to use my own data in the linear filtering example, and was wondering if there was a clever way to implement the code in 3.6 in a multi-variate example. What if we wanted to look at the …
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## Description of your problem
**Please provide a minimal, self-contained, and reproducible example.**
```python
# Most of the code is from the CSG example https://docs.pymc.io/notebooks/constant…
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Here is the v0.3 release plan. **The tentative release date is 06/07.**
[Feature] Kernel support
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Kernels are critical for our system performance. The next release will i…
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Hi,
Thank you for your code implementation. I want to stack some these layers on top of each other, essentially like LSTMs in Keras, but I am experiencing some errors with the dimensionality.
…
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I generated multivariate data using a GammaDistribution and am training a Hidden Markov Model on the data.
The shape of my data is as follows - 1000 sequences - each containing 100 timesteps, with …
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I am using pystan to fit a multi-variate regression where y ~ Xb + a, and X is a n x p matrix.
Using arviz I plot the traces and the forestplot.
data = az.from_pystan(posterior=fit,
…
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### Issue Description
Extracting the parameters from an MCMC trace, and then manually running them through the model gives a different answer than extracting the distribution of the observable variab…
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Hi Infer.Net developers!
As far as I understand, there are some distributions like Dirichlet or Gamma, which the FAQ states that the parameters cannot be inferred of. I am wondering whether it coul…
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Hi,
I've got one image from the downloaded dataset, and I'm trying to test it, but I'm facing the following error:
Image used: `data/svhn/full/test/12517.png`
```
InvalidArgumentError (see abov…
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Hi,
The input is a time sequence images, plus other variables. For prediction, the model should be able to predict these variables, when fed with future time sequence of images.
I think of CNN wit…