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Following the integration of CoLA (#370). It would be great to add a Konecker Kernel + computation.
fromgpjax.kernelsimportCombinationKernel, RBF# Code inherits from CombinationKernel or ProductKernelclassKronecker(CombinationKernel):
kernels: Sequence[AbstractKernel] =Nonecompute_engine: AbstractKernelComputation=static_field(KronckerKernelComputation())
...
def__post_init__(self):
... # check influence of the Kernel across each dimension # or set of dimensions is separable (active dims)# Demok1=RBF(active_dims=0)
k2=RBF(active_dims=1)
kron_kern=Kronecker([k1, k2])
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Following the integration of CoLA (#370). It would be great to add a Konecker Kernel + computation.
The text was updated successfully, but these errors were encountered: