Set up MBM kernel
1 2 | setup_mbm_kernel(dim, lengthscale = NULL, prior, sparse,
which = c("all", "lengthscale", "variance"))
|
dim |
Kernel dimension (number of variables) |
lengthscale |
Lengthscale parameter as from [mbm()].
Either NULL (in which case all lengthscales will be optimized) or
a numeric vector of length |
prior |
Prior distribution to use; currently ignored |
sparse |
Logical, should a sparse GP be used? |
which |
Which parameters to set up, either all, variance params, or lengthscale |
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