KernelTraits< GaussianKernel > Class Template Reference

Kernel traits for the Gaussian kernel. More...

Static Public Attributes

static const bool IsNormalized = true
 The Gaussian kernel is normalized: K(x, x) = 1 for all x. More...

 
static const bool UsesSquaredDistance = true
 The Gaussian kernel includes a squared distance. More...

 

Detailed Description


template
<
>

class mlpack::kernel::KernelTraits< GaussianKernel >

Kernel traits for the Gaussian kernel.

Definition at line 167 of file gaussian_kernel.hpp.

Member Data Documentation

◆ IsNormalized

const bool IsNormalized = true
static

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

Definition at line 171 of file gaussian_kernel.hpp.

◆ UsesSquaredDistance

const bool UsesSquaredDistance = true
static

The Gaussian kernel includes a squared distance.

Definition at line 173 of file gaussian_kernel.hpp.


The documentation for this class was generated from the following file:
  • /home/jenkins-mlpack/mlpack.org/_src/mlpack-3.3.2/src/mlpack/core/kernels/gaussian_kernel.hpp