mlpack::kernel::KernelTraits< EpanechnikovKernel > Class Template Reference

Kernel traits for the Epanechnikov kernel. More...

#include <epanechnikov_kernel.hpp>

Static Public Attributes
static const bool	IsNormalized = true
	The Epanechnikov kernel is normalized: K(x, x) = 1 for all x.
static const bool	UsesSquaredDistance = true
	The Epanechnikov kernel includes a squared distance.

Detailed Description

template<>
class mlpack::kernel::KernelTraits< EpanechnikovKernel >

Kernel traits for the Epanechnikov kernel.

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The documentation for this class was generated from the following file:

• src/mlpack/core/kernels/epanechnikov_kernel.hpp