Refactor and extend RF interface for more flexible kernels. #220
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Purpose
Addresses points in #215 In particular:
Content
examples/GCM
and improves running interfaceSeparable
orNonseparable
Kernel followed by the structure of the covariance to be used to sample the features.Nonseparable(cov)
: define one covariance structure on thep * d
-dim space,Separable(in_cov,out_cov)
: define oned
-dim covariance for inputs and onep
-dim covariance for outputscov
,in_cov
,out_cov
fromOneDimFactor()
: Must be selected for 1D covariancesDiagonalFactor(eps)
: Diagonal covariance pluseps*I
CholeskyFactor(eps)
: Cholesky representationL*L^T
plus eps*I`LowRankFactor(rank, eps)
: Symmetric factorizationW*W^T
whereW = 1+UDU'
D diag, U rectangular, pluseps*I
HierarchicalLowRankFactor(rank, eps)
: Symmetric factorizationW*W^T
whereW = 1+UXU'
U rectangular, pluseps*I
X cholesky factored