This is a template class that can provide information about various kernels. More...
Static Public Attributes  
static const bool  IsNormalized = false 
If true, then the kernel is normalized: K(x, x) = K(y, y) = 1 for all x. More...  
static const bool  UsesSquaredDistance = false 
If true, then the kernel include a squared distance, x  y^2 . More...  
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 27 of file kernel_traits.hpp.

static 
If true, then the kernel is normalized: K(x, x) = K(y, y) = 1 for all x.
Definition at line 33 of file kernel_traits.hpp.

static 
If true, then the kernel include a squared distance, x  y^2 .
Definition at line 38 of file kernel_traits.hpp.