theplu::yat::classifier::SvmMultiClass Class Reference

Support Vector Machine for more than two classes. More...

#include <yat/classifier/SvmMultiClass.h>

List of all members.

Public Member Functions
	SvmMultiClass (void)
	Constructor.
double	C (void) const
	C-parameter.
SvmMultiClass *	make_classifier (void) const
	Create an untrained copy of SvmMultiClass.
unsigned long int	max_epochs (void) const
void	max_epochs (unsigned long int)
	set maximal number of epochs in training
void	predict (const KernelLookup &input, utility::Matrix &predict) const
	Generate prediction predict from input.
void	set_C (double)
	set the C-Parameter
void	train (const KernelLookup &kernel, const Target &target)
	Fit paramaters based on training data.

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Detailed Description

Support Vector Machine for more than two classes.

Since:

New in yat 0.6

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Member Function Documentation

double theplu::yat::classifier::SvmMultiClass::C

(

void

)

const

C-parameter.

See also:

SVM::C(void)

SvmMultiClass* theplu::yat::classifier::SvmMultiClass::make_classifier

(

void

)

const

Create an untrained copy of SvmMultiClass.

Returns:

A dynamically allocated SVM, which has to be deleted by the caller to avoid memory leaks.

unsigned long int theplu::yat::classifier::SvmMultiClass::max_epochs

(

void

)

const

Default is max_epochs set to 100,000.

Returns:

number of maximal epochs

void theplu::yat::classifier::SvmMultiClass::predict	(	const KernelLookup &	input,
		utility::Matrix &	predict
	)			const

Generate prediction predict from input.

Each row in predict is calculated using a binary SVM.

Parameters:

	input	kernel to base prediction on. Just like in SVM each column corresponds to a sample to predict, and each row corresponds to a training sample.
	predict	resulting predictions. Each column corresponds to a test sample (same as corresponding column in input). Row i corresponds to class i, in other words, a large value in row i suggests that test sample belongs to class i. If there were no training samples in class i, row i is filled with NaNs.

void theplu::yat::classifier::SvmMultiClass::train	(	const KernelLookup &	kernel,
		const Target &	target
	)

Fit paramaters based on training data.

For each class samples belonging to that class are trained against the other samples using a binary SVM.

Parameters:

	kernel	contains the training data
	target	infomration on class labels

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

• yat/classifier/SvmMultiClass.h