# Additive Gaussian Processes

**URL:** <https://discourse.pymc.io/t/additive-gaussian-processes/5396>\
**Category:** Questions\
**Created:** [July 6, 2020, 6:25am UTC](https://discourse.pymc.io/t/additive-gaussian-processes/5396 "2020-07-06T06:25:37Z")\
**Posts on this page:** 1\
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**Author:** ![ckrapu](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/ckrapu/32/1366_2.png) [@ckrapu](https://discourse.pymc.io/u/ckrapu)\
**Post date:** [July 15, 2020, 12:27am UTC](https://discourse.pymc.io/t/additive-gaussian-processes/5396/5 "2020-07-15T00:27:46Z")

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I’m a little stuck here, though I think [this thread](https://discourse.pymc.io/t/multidimensional-gaussian-process/907/14) could be very helpful. @bwengals, any idea? [Here’s a minimal reproducible example](https://gist.github.com/ckrapu/9e87a3b3bc14f418f547895c04d54f02)

With regard to the output of `gp.predict`, the first output should be the predictive mean vector and the output is the covariance matrix.

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