One-versus-one Classifier. More...

#include <shark/Models/OneVersusOneClassifier.h>

Inheritance diagram for shark::OneVersusOneClassifier< InputType >:

Public Types
typedef base_type::BatchInputType	BatchInputType

typedef base_type::BatchOutputType	BatchOutputType

Public Types inherited from shark::AbstractModel< InputType, unsigned int >
enum	Feature

typedef InputType	InputType
	Defines the input type of the model. More...

typedef unsigned int	OutputType
	Defines the output type of the model. More...

typedef Batch< InputType >::type	BatchInputType
	defines the batch type of the input type. More...

typedef Batch< OutputType >::type	BatchOutputType
	defines the batch type of the output type More...

typedef TypedFlags< Feature >	Features

typedef TypedFeatureNotAvailableException< Feature >	FeatureNotAvailableException

Public Member Functions
	OneVersusOneClassifier ()
	Constructor. More...

std::string	name () const
	From INameable: return the class name. More...

virtual RealVector	parameterVector () const
	get internal parameters of the model More...

virtual void	setParameterVector (RealVector const &newParameters)
	set internal parameters of the model More...

virtual std::size_t	numberOfParameters () const
	return the size of the parameter vector More...

unsigned int	numberOfClasses () const
	return number of classes More...

binary_classifier_type const &	binary (unsigned int class_one, unsigned int class_zero) const
	Obtain binary classifier. More...

void	addClass (std::vector< binary_classifier_type *> const &binmodels)
	Add binary classifiers for one more class to the model. More...

boost::shared_ptr< State >	createState () const
	Creates an internal state of the model. More...

void	eval (BatchInputType const &patterns, BatchOutputType &output, State &state) const

void	read (InArchive &archive)
	from ISerializable, reads a model from an archive More...

void	write (OutArchive &archive) const
	from ISerializable, writes a model to an archive More...

Public Member Functions inherited from shark::AbstractModel< InputType, unsigned int >
	AbstractModel ()

virtual	~AbstractModel ()

const Features &	features () const

virtual void	updateFeatures ()

bool	hasFirstParameterDerivative () const
	Returns true when the first parameter derivative is implemented. More...

bool	hasSecondParameterDerivative () const
	Returns true when the second parameter derivative is implemented. More...

bool	hasFirstInputDerivative () const
	Returns true when the first input derivative is implemented. More...

bool	hasSecondInputDerivative () const
	Returns true when the second parameter derivative is implemented. More...

bool	isSequential () const

virtual void	eval (BatchInputType const &patterns, BatchOutputType &outputs) const
	Standard interface for evaluating the response of the model to a batch of patterns. More...

virtual void	eval (InputType const &pattern, OutputType &output) const
	Standard interface for evaluating the response of the model to a single pattern. More...

Data< OutputType >	operator() (Data< InputType > const &patterns) const
	Model evaluation as an operator for a whole dataset. This is a convenience function. More...

OutputType	operator() (InputType const &pattern) const
	Model evaluation as an operator for a single pattern. This is a convenience function. More...

BatchOutputType	operator() (BatchInputType const &patterns) const
	Model evaluation as an operator for a single pattern. This is a convenience function. More...

virtual void	weightedParameterDerivative (BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, RealVector &derivative) const
	calculates the weighted sum of derivatives w.r.t the parameters. More...

virtual void	weightedParameterDerivative (BatchInputType const &pattern, BatchOutputType const &coefficients, Batch< RealMatrix >::type const &errorHessian, State const &state, RealVector &derivative, RealMatrix &hessian) const
	calculates the weighted sum of derivatives w.r.t the parameters More...

virtual void	weightedInputDerivative (BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) const
	calculates the weighted sum of derivatives w.r.t the inputs More...

virtual void	weightedInputDerivative (BatchInputType const &pattern, BatchOutputType const &coefficients, typename Batch< RealMatrix >::type const &errorHessian, State const &state, RealMatrix &derivative, Batch< RealMatrix >::type &hessian) const
	calculates the weighted sum of derivatives w.r.t the inputs More...

virtual void	weightedDerivatives (BatchInputType const &patterns, BatchOutputType const &coefficients, State const &state, RealVector &parameterDerivative, BatchInputType &inputDerivative) const
	calculates weighted input and parameter derivative at the same time More...

Public Member Functions inherited from shark::IParameterizable
virtual	~IParameterizable ()

Public Member Functions inherited from shark::INameable
virtual	~INameable ()

Public Member Functions inherited from shark::ISerializable
virtual	~ISerializable ()
	Virtual d'tor. More...

void	load (InArchive &archive, unsigned int version)
	Versioned loading of components, calls read(...). More...

void	save (OutArchive &archive, unsigned int version) const
	Versioned storing of components, calls write(...). More...

	BOOST_SERIALIZATION_SPLIT_MEMBER ()

Protected Attributes
unsigned int	m_classes
	number of classes to be distinguished More...

std::vector< binary_classifier_type * >	m_binary
	list of binary classifiers More...

Protected Attributes inherited from shark::AbstractModel< InputType, unsigned int >
Features	m_features

Detailed Description

template<class InputType>
class shark::OneVersusOneClassifier< InputType >

One-versus-one Classifier.

: The one-versus-one classifier combines a number of binary classifiers to form a multi-class ensemble classifier. In the one-versus-one model, there exists one binary classifier for each pair of classes. The predictions of all binary machines are combined with a simple voting scheme.

: The classifier can be extended to handle more classes on the fly, without a need for re-training the existing binary models.

Definition at line 62 of file OneVersusOneClassifier.h.

Member Typedef Documentation

§ BatchInputType

template<class InputType>

typedef base_type::BatchInputType shark::OneVersusOneClassifier< InputType >::BatchInputType

Definition at line 68 of file OneVersusOneClassifier.h.

§ BatchOutputType

template<class InputType>

typedef base_type::BatchOutputType shark::OneVersusOneClassifier< InputType >::BatchOutputType

Definition at line 69 of file OneVersusOneClassifier.h.

Constructor & Destructor Documentation

§ OneVersusOneClassifier()

template<class InputType>

shark::OneVersusOneClassifier< InputType >::OneVersusOneClassifier ( )

inline

Constructor.

Definition at line 72 of file OneVersusOneClassifier.h.

Member Function Documentation

§ addClass()

template<class InputType>

void shark::OneVersusOneClassifier< InputType >::addClass ( std::vector< binary_classifier_type *> const & binmodels )

inline

Add binary classifiers for one more class to the model.

The parameter binmodels holds a vector of n binary classifiers, where n is the current number of classes. The i-th model is this list is supposed to output a value of 1 for class n and a value of 0 for class i when faced with the binary classification problem of separating class i from class n. Afterwards the model can predict the n+1 classes {0, ..., n}.

Definition at line 146 of file OneVersusOneClassifier.h.

References shark::OneVersusOneClassifier< InputType >::m_binary, shark::OneVersusOneClassifier< InputType >::m_classes, and SHARK_CHECK.

Referenced by main().

§ binary()

template<class InputType>

binary_classifier_type const& shark::OneVersusOneClassifier< InputType >::binary	(	unsigned int	class_one,
		unsigned int	class_zero
	)		const

inline

Obtain binary classifier.

: The method returns the binary classifier used to distinguish class_one from class_zero. The convention class_one > class_zero is used (the inverse classifier can be constructed from this one by flipping the labels). The binary classifier outputs a value of 1 for class_one and a value of zero for class_zero.

Definition at line 130 of file OneVersusOneClassifier.h.

References shark::OneVersusOneClassifier< InputType >::m_binary, shark::OneVersusOneClassifier< InputType >::m_classes, and SHARK_ASSERT.

§ createState()

template<class InputType>

boost::shared_ptr<State> shark::OneVersusOneClassifier< InputType >::createState ( ) const

inlinevirtual

Creates an internal state of the model.

The state is needed when the derivatives are to be calculated. Eval can store a state which is then reused to speed up the calculations of the derivatives. This also allows eval to be evaluated in parallel!

Reimplemented from shark::AbstractModel< InputType, unsigned int >.

Definition at line 153 of file OneVersusOneClassifier.h.

References shark::AbstractModel< InputType, unsigned int >::eval().