KernelTraits< SphericalKernel > Class Template Reference

Kernel traits for the spherical kernel. More...

Static Public Attributes
static const bool	IsNormalized = true
	The spherical kernel is normalized: K(x, x) = 1 for all x. More...
static const bool	UsesSquaredDistance = false
	The spherical kernel doesn't include a squared distance. More...

Detailed Description

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

Kernel traits for the spherical kernel.

Definition at line 123 of file spherical_kernel.hpp.

Member Data Documentation

IsNormalized

const bool IsNormalized = true

static

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

Definition at line 127 of file spherical_kernel.hpp.

UsesSquaredDistance

const bool UsesSquaredDistance = false

static

The spherical kernel doesn't include a squared distance.

Definition at line 129 of file spherical_kernel.hpp.

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

• /home/jenkins-mlpack/mlpack.org/_src/mlpack-3.4.2/src/mlpack/core/kernels/spherical_kernel.hpp