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mlpack::kernel::SphericalKernel(3) MLPACK mlpack::kernel::SphericalKernel(3)

NAME

mlpack::kernel::SphericalKernel -

SYNOPSIS

Public Member Functions


SphericalKernel ()
 
SphericalKernel (double b)
 
template<typename VecType > double ConvolutionIntegral (const VecType &a, const VecType &b)
 
Obtains the convolution integral [integral K(||x-a||)K(||b-x||)dx] for the two vectors. template<typename VecType > double Evaluate (const VecType &a, const VecType &b)
 
double Evaluate (double t)
 
double Normalizer (size_t dimension)
 
std::string ToString () const
 
Return a string representation of the kernel.

Private Attributes


double bandwidth
 
double bandwidthSquared
 

Detailed Description

Definition at line 32 of file spherical_kernel.hpp.

Constructor & Destructor Documentation

mlpack::kernel::SphericalKernel::SphericalKernel () [inline]

Definition at line 35 of file spherical_kernel.hpp.

mlpack::kernel::SphericalKernel::SphericalKernel (doubleb) [inline]

Definition at line 38 of file spherical_kernel.hpp.

Member Function Documentation

template<typename VecType > double mlpack::kernel::SphericalKernel::ConvolutionIntegral (const VecType &a, const VecType &b) [inline]

Obtains the convolution integral [integral K(||x-a||)K(||b-x||)dx] for the two vectors. In this case, because our simple example kernel has no internal parameters, we can declare the function static. For a more complex example which cannot be declared static, see the GaussianKernel, which stores an internal parameter.
Template Parameters:
VecType Type of vector (arma::vec, arma::spvec should be expected).
Parameters:
a First vector.
 
b Second vector.
Returns:
the convolution integral value.
Definition at line 62 of file spherical_kernel.hpp.
References bandwidth, mlpack::metric::LMetric< Power, TakeRoot >::Evaluate(), mlpack::Log::Fatal, and Normalizer().

template<typename VecType > double mlpack::kernel::SphericalKernel::Evaluate (const VecType &a, const VecType &b) [inline]

Definition at line 43 of file spherical_kernel.hpp.
References bandwidthSquared, and mlpack::metric::LMetric< Power, TakeRoot >::Evaluate().

double mlpack::kernel::SphericalKernel::Evaluate (doublet) [inline]

Definition at line 93 of file spherical_kernel.hpp.
References bandwidth.

double mlpack::kernel::SphericalKernel::Normalizer (size_tdimension) [inline]

Definition at line 88 of file spherical_kernel.hpp.
References bandwidth, and M_PI.
Referenced by ConvolutionIntegral().

std::string mlpack::kernel::SphericalKernel::ToString () const [inline]

Return a string representation of the kernel.
Definition at line 99 of file spherical_kernel.hpp.
References bandwidth.

Member Data Documentation

double mlpack::kernel::SphericalKernel::bandwidth [private]

Definition at line 108 of file spherical_kernel.hpp.
Referenced by ConvolutionIntegral(), Evaluate(), Normalizer(), and ToString().

double mlpack::kernel::SphericalKernel::bandwidthSquared [private]

Definition at line 109 of file spherical_kernel.hpp.
Referenced by Evaluate().

Author

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Tue Sep 9 2014 Version 1.0.10