Hi all,

it came to my surprise that there is no implementation of Gaussian Process in Spark MLlib. The approach is widely known, employed and scalable (its sparse versions). Is there a good reason for that? Has it been discussed before?

If there is a need in this approach being a part of MLlib I am eager to contribute.

Best,

Valeriy.


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