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When I fit a Gaussian Process Regression model by calling 'GPy.models.GPRegression'. then I want to plot the model so I call 'm.plot(property='3d'). I know the highlight area usually have a larger va…
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There is only one notebook example, SVI.ipynb, of stochastic variational inference. In this example, X = input, Y = multiple outputs (2 columns Y1 and Y2) and Z = inducing variables.
Z = np. random.…
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I have tried posting this on stackoverflow, but it looks like GPy is not well represented there. https://stackoverflow.com/questions/49597043/how-to-set-hyperparameters-of-kernels-in-gpy
I am curre…
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I'm curious why you used GPy instead of https://github.com/STOR-i/GaussianProcesses.jl . I was also wondering if you tried a bunch of mean and kernel functions to see whether they made much of a diffe…
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```
± pip install gpy gpyopt --user --upgrade
Collecting gpy
Downloading GPy-1.8.5.tar.gz (856kB)
100% |████████████████████████████████| 860kB 1.3MB/s
Collecting gpyopt
Using cached GP…
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I started looking into using `GPflow` over `GPy` for my research. During some testing I found that predictions of mean and variance take quite a bit more time with GPflow (both on the CPU and GPU). Is…
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Hello,
I am in trouble using this nice tool dask-searchcv on simple Pipeline.
Given the fact I tried it on simple sklearn Pipeline (StandardScaler + SVC_rbf):
```
Pipeline(memory=None,
…
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Are there technical reasons why a Student-T prior hasn't been implemented? From glancing at the code it seems like it would be relatively easy to add with the existing Student T density, so the fact i…
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### Actual Behavior
numpy.hamming() generates different results.
### Expected Behavior
numpy.hamming() should generate the identical results every time.
### Steps to Reproduce
im…
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I have been struggling for months on trying to run the set of Sheffield notebooks on python 3 in both Windows 10 and linux/ubuntu to no avail. Let me share the following points:
- GPy-master does not…