A radial basis function kernel for linear classifiers to adapt them to data that is not linearly separable. More...

Public Member Functions
	radial_basis (double gamma)
	Constructs a new radial_basis kernel with the given parameter. More...

template<class PostingsData >
double	operator() (const PostingsData &first, const PostingsData &second) const
	Computes the value of \(K(first, second)\).

Private Attributes
double	gamma_
	\(\gamma\), or equivalently \(-\frac1{2\sigma^2}\), the parameter for the radial basis function.

Detailed Description

A radial basis function kernel for linear classifiers to adapt them to data that is not linearly separable.

Uses the form of: \(K(x, z) = \exp(\gamma||x-z||_2^2)\)

Constructor & Destructor Documentation

meta::classify::kernel::radial_basis::radial_basis ( double gamma )

inline

Constructs a new radial_basis kernel with the given parameter.

Parameters

gamma The parameter for the radial basis function.

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