theplu::yat::classifier::GaussianKernelFunction Class Reference

Class for Gaussian kernel calculations. More...

Inheritance diagram for theplu::yat::classifier::GaussianKernelFunction:

Detailed Description

Class for Gaussian kernel calculations.

theplu::yat::classifier::GaussianKernelFunction::GaussianKernelFunction ( double = 1 )

Constructor taking the sigma_ , i.e. the width of the Gaussian,as input. Default is sigma_ = 1.

virtual theplu::yat::classifier::GaussianKernelFunction::~GaussianKernelFunction ( void ) [inline, virtual]

Destructor

double theplu::yat::classifier::GaussianKernelFunction::operator()	(	const DataLookup1D &	x,
		const DataLookup1D &	y
	)			const `[virtual]`

returning the scalar product of two vectors in feature space using the Gaussian kernel.

double theplu::yat::classifier::GaussianKernelFunction::operator()	(	const DataLookup1D &	x,
		const DataLookupWeighted1D &	y
	)			const `[virtual]`

$\exp(-d^2/\sigma^2)$ where $d^2 = \sum w_y(x_i-y_i)^2 / \sum w_y * N$

double theplu::yat::classifier::GaussianKernelFunction::operator()	(	const DataLookupWeighted1D &	x,
		const DataLookupWeighted1D &	y
	)			const `[virtual]`

$\exp(-d^2/\sigma^2)$ where $d^2 = \sum w_xw_y(x_i-y_i)^2 / \sum w_xw_y * N$

double theplu::yat::classifier::KernelFunction::operator()	(	const DataLookupWeighted1D &	vec_w,
		const DataLookup1D &	vec
	)			const `[inline, inherited]`

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


Public Member Functions
	GaussianKernelFunction (double=1)
virtual	~GaussianKernelFunction (void)
double	operator() (const DataLookup1D &x, const DataLookup1D &y) const
double	operator() (const DataLookup1D &x, const DataLookupWeighted1D &y) const
double	operator() (const DataLookupWeighted1D &x, const DataLookupWeighted1D &y) const
double	operator() (const DataLookupWeighted1D &vec_w, const DataLookup1D &vec) const