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描述
This is a(n):
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Details: Gaussian Processes (GP) are a generic supervised learning method designed to solve regression and probabilistic classification problems. A gaussian process regressor requires the implementation of three kernels called K, K* and K**. I plan to implement it from scratch.
For reference: https://www.youtube.com/watch?v=lWNy71IC8CU