mlpack_kernel_SphericalKernel (3)

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

Definition at line 32 of file spherical_kernel.hpp.

mlpack::kernel::SphericalKernel::SphericalKernel ()\fC [inline]\fP

Definition at line 35 of file spherical_kernel.hpp.

mlpack::kernel::SphericalKernel::SphericalKernel (doubleb)\fC [inline]\fP

Definition at line 38 of file spherical_kernel.hpp.

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

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)\fC [inline]\fP

Definition at line 43 of file spherical_kernel.hpp.

References bandwidthSquared, and mlpack::metric::LMetric< Power, TakeRoot >::Evaluate().

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

Definition at line 93 of file spherical_kernel.hpp.

References bandwidth.

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

Definition at line 88 of file spherical_kernel.hpp.

References bandwidth, and M_PI.

Referenced by ConvolutionIntegral().

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

Return a string representation of the kernel.

Definition at line 99 of file spherical_kernel.hpp.

References bandwidth.

double mlpack::kernel::SphericalKernel::bandwidth\fC [private]\fP

Definition at line 108 of file spherical_kernel.hpp.

Referenced by ConvolutionIntegral(), Evaluate(), Normalizer(), and ToString().

double mlpack::kernel::SphericalKernel::bandwidthSquared\fC [private]\fP

Definition at line 109 of file spherical_kernel.hpp.

Referenced by Evaluate().

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