This is a template class that can provide information about various kernels.
static const bool IsNormalized = false
If true, then the kernel is normalized: K(x, x) = K(y, y) = 1 for all x.
This is a template class that can provide information about various kernels.
By default, this class will provide the weakest possible assumptions on kernels, and each kernel should override values as necessary. If a kernel doesn't need to override a value, then there's no need to write a KernelTraits specialization for that class.
Definition at line 37 of file kernel_traits.hpp.
If true, then the kernel is normalized: K(x, x) = K(y, y) = 1 for all x.
Definition at line 43 of file kernel_traits.hpp.
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