KernelTraits< EpanechnikovKernel > Class Template Reference

Kernel traits for the Epanechnikov kernel. More...

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

Detailed Description

template

<

>

class mlpack::kernel::KernelTraits< EpanechnikovKernel >

Kernel traits for the Epanechnikov kernel.

Definition at line 107 of file epanechnikov_kernel.hpp.

Member Data Documentation

IsNormalized

const bool IsNormalized = true

static

The Epanechnikov kernel is normalized: K(x, x) = 1 for all x.

Definition at line 111 of file epanechnikov_kernel.hpp.

UsesSquaredDistance

const bool UsesSquaredDistance = true

static

The Epanechnikov kernel includes a squared distance.

Definition at line 113 of file epanechnikov_kernel.hpp.

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

• /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/core/kernels/epanechnikov_kernel.hpp