We use RBF kernels combined with a white noise kernels for the GP computation. These classes are only used for the normal GP, the sparse GP uses the implementation from GPy. Adding new Kernels is possible by inherting from the Kernel class.
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We use RBF kernels combined with a white noise kernels for the GP computation. These classes are only used for the normal GP, the sparse GP uses the implementation from GPy. Adding new Kernels is possible by inherting from the Kernel class.