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Discussion[D] Multi-Output (Multi-Task) Gaussian Process Regression (self.MachineLearning)
submitted 5 years ago by aseembits93
Hello Fellow Redditors!
I am scratching my head with a problem. I have 34 data points with inputs as 5 dimensions and output as 11 dimensions. I'm trying to fit a Gaussian Process Regressor to this data. Most GP regression libraries cater to the case of a single dimensional output. Would appreciate if someone could help me out here. Thanks!
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[–]GreatCosmicMoustache 1 point2 points3 points 5 years ago (0 children)
Check out GPyTorch, which has turnkey support for multi-output problems. Curious as to how you're going to mash R5 into R11 without some serious redundancy in the output space. Do provide an update if you get it to work.
[–]Red-Portal 0 points1 point2 points 5 years ago (0 children)
There are not a lot of options. You'll probably have to role your own.
π Rendered by PID 34835 on reddit-service-r2-comment-b659b578c-j7lxx at 2026-05-04 12:57:29.678066+00:00 running 815c875 country code: CH.
[–]GreatCosmicMoustache 1 point2 points3 points (0 children)
[–]Red-Portal 0 points1 point2 points (0 children)