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Hi, I am trying use a mean function with parameters that will be learnt alongside the kernel.
My kernel is
`k = GPy.kern.RBF(input_dim=1,lengthscale=ls,variance=var)`
I want a mean function to run…
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When Osprey 1.2 is released, I've volunteered to get a recipe for it up on conda-forge (along with hyperopt and possibly GPy) . I was wondering if anyone else wants to be listed as a co-maintainer of …
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If I run the step_fn_demo function as is there is an issue in special_einsum:
Traceback (most recent call last):
File "step_fn_demo.py", line 52, in
m = ColDeep([layer_X, layer_Y])
File "/Us…
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> How do Gaussian processes differ from traditional machine learning algorithms in terms of modeling and prediction?
Gaussian processes differ from traditional machine learning algorithms in that t…
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With app-portage/gpyutils-0.8.2:
```
$ gpy-verify-deps
Populating package cache...
Populating dist-info cache...
Querying Python interpreter metadata...
Traceback (most recent call last):
Fi…
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According to
https://github.com/SheffieldML/GPy/blob/06441f583f2063d15d925d70aba4077adb8dd94f/GPy/inference/latent_function_inference/exact_gaussian_inference.py#L56
it looks like a minimum nois…
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If I fit a model to some data, I would like to be able to look at how the data has affected my prior, but I cannot seem to find how GPy sets the prior. If I do the following:
```
import numpy as n…
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GPy was running a boot.py which (among other things) set LED blue, set WLAN to STAtion and connected, then ran main.py to get ntp server time(among other things).
After updating to 1.20.2.rc6 boot …
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At this point, it would be interesting to run some benchmarks with simple kernels and moderately large datasets to see how this package compares to others in terms of performance. Other packages of in…
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I'm interested in using the `pyro.contrib.gp.models.GPLVM` model in the case where some points in `Y` (the observed data) are missing at random.
GPy has an example [here](https://gpy.readthedocs.io…