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When predicting a time series, one can turn some models probabilistic by defining a likelihood parameter.
E.g.:
NBEATSModel(
...
likelihood=GaussianLikelihood(),
random_state=42
)
…
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# 🐛 Bug
I am using the sparse variational GPyTorch framework to perform 7500 tasks. I have 4800 data points, and I am using batch sizes (so both the inout and output matrices have dimension (4800…
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There's a theoretical issue where, if F3 takes a long time to finalize a tipset, it might cause long-range forks in EC. We're alleviating this by:
1. Never trying to finalize the current head (#716…
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Hello, I need a way to access Layout names (before registration), but I can't seem to find an api to get them. It seems the name and label are both passed to settings, but I can't access settings beca…
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Calling `xtune` will sometimes succeed, at other times result in an error:
```
fit Error in approx(lambda, seq(lambda), sfrac) : requires at least two non-NA values for interpolation
```
R ve…
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It's useful to see fits to data that aren't included in the likelihood, but it's not clear from the plots which might have lambda = 0. It should be straightforward to use the tables of likelihoods ret…
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I'd like to use terastructure to check if there are multiple populations in a supposedly homogeneous dataset. For this reason I ran it first with `k=2` and it converged nicely. But I need to compare t…
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# 🐛 Bug
Assigning new values to the hyperparameters while a GP is in eval mode seems to lead to incorrect predictions. I believe it is because *`model.prediction_strategy` is not being updated when…
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# 📚 Documentation/Examples
Hi,
I am trying to train a GP model with approx 5000 points with 6 features using the RBF kernel, plain vanilla GP. My code is based on the tutorial online.
class E…
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`pypolychord` occasionally hangs when generating live points (see below for an example output). The CPU utilization is zero when the problem occurs which makes it seem like `pypolychord` "gave up" try…