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### Describe the issue:
I get failures near the beginning of sampling when running models on Linux. They are coming from the multiprocessing library. I can usually work around them by simply restar…
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The function returned by the JAX compiler in Aesara systematically returns a `DeviceArray` when JAX does not necessarily:
```python
import aesara
import aesara.tensor as at
import jax
import …
rlouf updated
2 years ago
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When running in JupyterLab in Safari the latest fastprogress has a very high CPU load, up to 100% on a relatively modern machine.
Profiling shows that Safari is spending almost all its time in loop…
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It would be nice to build a model, and then be able to fit it on new data, rather than having to recompile it. I currently do not see a data argument for `Model.fit`, but I'm also not sure if this wou…
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Hi there,
Thanks for such an amazing package. It's made my life hell of a lot easier!
One question: I can't figure out how to get the standard errors on the best fit parameters for the non-power…
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As highlighted in #255, the current synthetic control model is restricted to interpolation. That is, when the synthetic control is modelled as a weighted sum of untreated units, and that weighting sum…
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To run the example attached to this post in the following zip file, use runfile_Example8_optimization_mcmc.py. It should take under a minute to run.
[200323_2.2a-MiniExample.zip](https://github.com/…
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Minimal reproducible example:
```python
import tensorflow.compat.v2 as tf
import tensorflow_probability as tfp
tfd = tfp.distributions
dist = tfd.Normal(0., 1.)
def vectorized_logpfn(*stat…
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**Describe the bug**
Trying to compute the flux of any star or system with a star that includes non-uniform limb darkening (any udeg > 0) gives me a lengthy traceback that says "Elliptic integral CEL…
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### Description
This adds a lot of complexity for little user benefit (most don't know about this functionality in the first place)