KernelMeanClassifier Class Reference

The kernel mean classifier is parameter free, that is, it does not require training. More...

#include <KernelMeanClassifier.h>

Inheritance diagram for KernelMeanClassifier:

List of all members.

Public Member Functions
	KernelMeanClassifier (KernelFunction *k)
	Constructor.
	KernelMeanClassifier (const Array< double > &input, const Array< double > &target, KernelFunction *k)
	Constructor.
	~KernelMeanClassifier ()
	Destructor.
void	SetPoints (const Array< double > &input, const Array< double > &target)
	Define a set of labeled points as a base for classification.
void	setParameter (unsigned int index, double value)
	Change a kernel parameter and recalc the coefficients.
void	model (const Array< double > &input, Array< double > &output)
	The model method does the classification.
Protected Member Functions
void	Recalc ()
Protected Attributes
Array< double >	training_input
Array< double >	training_target
KernelFunction *	kernel
bool	bMustRecalc
double	coeff_plus
double	coeff_minus
double	bias

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Detailed Description

The kernel mean classifier is parameter free, that is, it does not require training.

Examples:

KM.cpp.

Definition at line 54 of file KernelMeanClassifier.h.

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Constructor & Destructor Documentation

KernelMeanClassifier::KernelMeanClassifier

(

KernelFunction *

k

)

Constructor.

Parameters:

k

kernel function

Definition at line 47 of file KernelMeanClassifier.cpp.

References Model::getParameter(), Model::getParameterDimension(), and Model::parameter.

KernelMeanClassifier::KernelMeanClassifier	(	const Array< double > &	input,
		const Array< double > &	target,
		KernelFunction *	k
	)

Constructor.

Parameters:

	input	input patterns
	target	input labels
	k	kernel function

Definition at line 55 of file KernelMeanClassifier.cpp.

References SetPoints().

KernelMeanClassifier::~KernelMeanClassifier

(

)

Destructor.

Definition at line 61 of file KernelMeanClassifier.cpp.

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Member Function Documentation

void KernelMeanClassifier::model	(	const Array< double > &	input,
		Array< double > &	output
	)			[virtual]

The model method does the classification.

Implements Model.

Definition at line 82 of file KernelMeanClassifier.cpp.

References bias, bMustRecalc, coeff_minus, coeff_plus, KernelFunction::eval(), i, kernel, Recalc(), training_input, and training_target.

void KernelMeanClassifier::Recalc

(

)

[protected]

Definition at line 117 of file KernelMeanClassifier.cpp.

References bias, bMustRecalc, coeff_minus, coeff_plus, KernelFunction::eval(), i, kernel, training_input, and training_target.

Referenced by model().

void KernelMeanClassifier::setParameter	(	unsigned int	index,
		double	value
	)			[virtual]

Change a kernel parameter and recalc the coefficients.

Reimplemented from Model.

Definition at line 75 of file KernelMeanClassifier.cpp.

References bMustRecalc, kernel, Model::parameter, and Model::setParameter().

void KernelMeanClassifier::SetPoints	(	const Array< double > &	input,
		const Array< double > &	target
	)

Define a set of labeled points as a base for classification.

Definition at line 66 of file KernelMeanClassifier.cpp.

References bMustRecalc, Model::inputDimension, Model::outputDimension, training_input, and training_target.

Referenced by KernelMeanClassifier().

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Member Data Documentation

double KernelMeanClassifier::bias [protected]

Definition at line 91 of file KernelMeanClassifier.h.

Referenced by model(), and Recalc().

bool KernelMeanClassifier::bMustRecalc [protected]

Definition at line 88 of file KernelMeanClassifier.h.

Referenced by model(), Recalc(), setParameter(), and SetPoints().

double KernelMeanClassifier::coeff_minus [protected]

Definition at line 90 of file KernelMeanClassifier.h.

Referenced by model(), and Recalc().

double KernelMeanClassifier::coeff_plus [protected]

Definition at line 89 of file KernelMeanClassifier.h.

Referenced by model(), and Recalc().

KernelFunction* KernelMeanClassifier::kernel [protected]

Definition at line 87 of file KernelMeanClassifier.h.

Referenced by model(), Recalc(), and setParameter().

Array<double> KernelMeanClassifier::training_input [protected]

Definition at line 85 of file KernelMeanClassifier.h.

Referenced by model(), Recalc(), and SetPoints().

Array<double> KernelMeanClassifier::training_target [protected]

Definition at line 86 of file KernelMeanClassifier.h.

Referenced by model(), Recalc(), and SetPoints().

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

• KernelMeanClassifier.h
• KernelMeanClassifier.cpp