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Additional kernels that can be used with scikit-learn's Gaussian Process module

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I am starting to research heteroscedastic GPs, and your heteroscedastic kernel is a great reference for my work. Is this project connected to publicly available documentation on the specific methods...

Thank you for open-sourcing this wonderful library. Do you have a preferred way for researchers to cite your work, e.g. for academic publications?

Hi, I had trouble with setting `l_samples` larger than the number of observations - this should fix it. Thanks!

Hello! Is it possible to use the extra kernels with functions such as `RandomizedSearchCV` and `GridSearchCV`? If so, could you provide some examples? Thanks!

Hello Jan, Glad to discover by accident your gp_extras which appear to deal, based on sklearn, with the same issues as "Nested Variational Compression in Deep Gaussian Processes" by James...