Methods:
.
matrix
Return the kernel matrix K_{ij} = k(x_i, x_j).
vector
Return the kernel vector K_i = k(x_i, a).
mlpy.
KernelLinear
Linear Kernel
K(x, x') = x \cdot x'
KernelGaussian
Gaussian Kernel
K(x, x') = e^{-\frac{\|x - x'\|}{2 \sigma^2}}
KernelPolynomial
Polynomial Kernel
K(x, x') = {(x \cdot x' + 1)}^d
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