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Thanks for your contribution for this great library.
Due to my knowledge limitation, I need some clarification from experts about below situation that I'm facing. If this is intentional behavior, i…
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Kingma, Diederik Pieter. [Variational inference & deep learning: A new synthesis](https://pure.uva.nl/ws/files/17891313/Thesis.pdf).
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[A clear and concise description of what the bug is.]
PROBLEM:
=========
AutoMLSearch execution leads to Segmentation Fault
Process finished with exit code 139 (interrupted by signal 11: SIGSEG…
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# 🐛 Bug
I get an odd crash when I try a double batched input to a multi output GP.
## To reproduce
```python
import torch
import gpytorch
from gpytorch.models import ApproximateGP
from …
y0ast updated
2 years ago
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In a chi^2 statistic, the goodness of fit can be derived analytically from the chi^2 value and the number of DOF. That's not true for many of our other statistics (cash, WSTAT, etc.). However, in prin…
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Returned tags should have confidence values (e.g between 0 and 1) just like the skeleton joint confidences returned by OpenNI skeleton tracker for Kinect. This would be very useful on the user side wh…
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For these 3 experiments I use the following MUSE algorithm configuration:
```python
theta_start = jnp.array([0.3, 0.8])
prob.solve(
result=result,
α=0.2,
θ_start=theta_start,
…
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_Issue [JP-3575](https://jira.stsci.edu/browse/JP-3575) was created on JIRA by [Melanie Clarke](https://jira.stsci.edu/secure/ViewProfile.jspa?name=mclarke):_
Currently, the pipeline propagates var…
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What would be good ways to store and persist a GP optimized with GP.jl? The purpose would be to make predictions with mean and standard deviation at a later time than training.