PLearn::PolynomialKernel Class Reference

returns (beta*dot(x1,x2)+1)^n More...

#include <PolynomialKernel.h>

Inheritance diagram for PLearn::PolynomialKernel:

[legend]Collaboration diagram for PLearn::PolynomialKernel:

[legend]List of all members.

Public Member Functions
	PolynomialKernel ()
	PolynomialKernel (int degree, real the_beta=1.0)
	PLEARN_DECLARE_OBJECT (PolynomialKernel)
real	evaluateFromDot (real dot_product) const
virtual real	evaluate (const Vec &x1, const Vec &x2) const
	returns K(x1,x2)
virtual real	evaluate_i_j (int i, int j) const
	returns evaluate(data(i),data(j))
virtual real	evaluate_i_x (int i, const Vec &x, real squared_norm_of_x=-1) const
	returns evaluate(data(i),x)
virtual real	evaluate_x_i (const Vec &x, int i, real squared_norm_of_x=-1) const
	returns evaluate(x,data(i))
Public Attributes
int	n
	degree of polynomial
real	beta
	a normalization constant for numerical stability
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	recognized options are "n" and "beta"
Private Types
typedef Kernel	inherited

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Detailed Description

returns (beta*dot(x1,x2)+1)^n

Definition at line 54 of file PolynomialKernel.h.

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Member Typedef Documentation

typedef Kernel PLearn::PolynomialKernel::inherited [private]

Reimplemented from PLearn::Kernel. Definition at line 56 of file PolynomialKernel.h.

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Constructor & Destructor Documentation

PLearn::PolynomialKernel::PolynomialKernel (   )  [inline]

Definition at line 62 of file PolynomialKernel.h. References beta, and n.

PLearn::PolynomialKernel::PolynomialKernel (  int  degree, real  the_beta = 1.0 )  [inline]

Definition at line 64 of file PolynomialKernel.h. References beta, and n.

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Member Function Documentation

void PLearn::PolynomialKernel::declareOptions (  OptionList &  ol  )  [static, protected]

recognized options are "n" and "beta" Reimplemented from PLearn::Kernel. Definition at line 64 of file PolynomialKernel.cc. References PLearn::declareOption(), and PLearn::OptionList.

real PLearn::PolynomialKernel::evaluate (  const Vec &  x1, const Vec &  x2 )  const [virtual]

returns K(x1,x2) Implements PLearn::Kernel. Definition at line 52 of file PolynomialKernel.cc. References PLearn::dot(), evaluateFromDot(), and PLearn::Vec.

real PLearn::PolynomialKernel::evaluate_i_j (  int  i, int  j )  const [virtual]

returns evaluate(data(i),data(j)) Reimplemented from PLearn::Kernel. Definition at line 55 of file PolynomialKernel.cc. References evaluateFromDot().

real PLearn::PolynomialKernel::evaluate_i_x (  int  i, const Vec &  x, real  squared_norm_of_x = -1 )  const [virtual]

returns evaluate(data(i),x) Reimplemented from PLearn::Kernel. Definition at line 58 of file PolynomialKernel.cc. References evaluateFromDot(), and x.

real PLearn::PolynomialKernel::evaluate_x_i (  const Vec &  x, int  i, real  squared_norm_of_x = -1 )  const [virtual]

returns evaluate(x,data(i)) Reimplemented from PLearn::Kernel. Definition at line 61 of file PolynomialKernel.cc. References evaluateFromDot(), and x.

real PLearn::PolynomialKernel::evaluateFromDot (  real  dot_product  )  const [inline]

Definition at line 69 of file PolynomialKernel.h. References beta, PLearn::dot_product(), evaluateFromDot(), PLearn::ipow(), and n. Referenced by evaluate(), evaluate_i_j(), evaluate_i_x(), evaluate_x_i(), and evaluateFromDot().

PLearn::PolynomialKernel::PLEARN_DECLARE_OBJECT (  PolynomialKernel   )

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Member Data Documentation

real PLearn::PolynomialKernel::beta

a normalization constant for numerical stability Definition at line 60 of file PolynomialKernel.h. Referenced by evaluateFromDot(), and PolynomialKernel().

int PLearn::PolynomialKernel::n

degree of polynomial Definition at line 59 of file PolynomialKernel.h. Referenced by evaluateFromDot(), and PolynomialKernel().

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

• PolynomialKernel.h
• PolynomialKernel.cc

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