kernCompute {tigre} | R Documentation |
Compute the kernel given the parameters and X.
kernCompute(kern, x, x2) kernDiagCompute(kern, x)
kern |
kernel structure to be computed. |
x |
first or only input data matrix (rows are data points) to the kernel computation. |
x2 |
(optional) second input matrix to the kernel computation (forms the columns of the kernel). |
K <- kernCompute(kern, X)
computes a kernel matrix for the given kernel type given an input data matrix.
K <- kernCompute(kern, X1, X2)
computes a kernel matrix for the given kernel type given two input data matrices, one for the rows and one for the columns.
K <- kernDiagCompute(kern, X)
computes the diagonal of a kernel matrix for the given kernel.
K <- *X*kernCompute(kern1, kern2, X)
K <- *X*kernCompute(kern1, kern2, X1, X2)
same as above, but for cross combinations of two kernels, kern1
and kern2
.
K |
computed elements of the kernel structure. |
Kd |
vector containing computed diagonal elements of the kernel structure. |
kern <- kernCreate(1, 'rbf') K <- kernCompute(kern, as.matrix(3:8))