inchol
computes the incomplete Cholesky decomposition
of the kernel matrix from a data matrix.inchol(x, kernel="rbfdot", kpar=list(sigma=0.1), tol = 0.001,
maxiter = dim(x)[1], blocksize = 50, verbose = 0)
kernel
,
which computes the inner product in feature space between two
vector arguments. kernlab provides the most popular kersigma
inverse kernel width for the Radial Basistol
(default: 0.001)object@slot
or by accessor functions with the same name (e.g., pivots(object))
chol