Abstract model with associated clustering object. More...

#include <shark/Models/Clustering/ClusteringModel.h>

Inheritance diagram for shark::ClusteringModel< InputT, OutputT >:

Public Types
typedef AbstractClustering< InputT >	ClusteringType

typedef base_type::BatchInputType	BatchInputType

typedef base_type::BatchOutputType	BatchOutputType

Public Types inherited from shark::AbstractModel< InputT, OutputT >
enum	Feature

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

typedef OutputT	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
	ClusteringModel (ClusteringType *clustering)
	Constructor. More...

RealVector	parameterVector () const
	Redirect parameter access to the clustering object. More...

void	setParameterVector (RealVector const &newParameters)
	Redirect parameter access to the clustering object. More...

std::size_t	numberOfParameters () const
	Redirect parameter access to the clustering object. More...

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...

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

Public Member Functions inherited from shark::AbstractModel< InputT, OutputT >
	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 boost::shared_ptr< State >	createState () const
	Creates an internal state of the model. More...

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 ()

virtual std::string	name () const
	returns the name of the object More...

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
ClusteringType *	mep_clustering
	Clustering object, see class AbstractClustering. More...

Protected Attributes inherited from shark::AbstractModel< InputT, OutputT >
Features	m_features

Detailed Description

template<class InputT, class OutputT>
class shark::ClusteringModel< InputT, OutputT >

Abstract model with associated clustering object.

See HardClusteringModel and SoftClusteringModel for details.

Definition at line 50 of file ClusteringModel.h.

Member Typedef Documentation

§ BatchInputType

template<class InputT, class OutputT>

typedef base_type::BatchInputType shark::ClusteringModel< InputT, OutputT >::BatchInputType

Definition at line 55 of file ClusteringModel.h.

§ BatchOutputType

template<class InputT, class OutputT>

typedef base_type::BatchOutputType shark::ClusteringModel< InputT, OutputT >::BatchOutputType

Definition at line 56 of file ClusteringModel.h.

§ ClusteringType

template<class InputT, class OutputT>

typedef AbstractClustering<InputT> shark::ClusteringModel< InputT, OutputT >::ClusteringType

Definition at line 54 of file ClusteringModel.h.

Constructor & Destructor Documentation

§ ClusteringModel()

template<class InputT, class OutputT>

shark::ClusteringModel< InputT, OutputT >::ClusteringModel ( ClusteringType * clustering )

inline

Constructor.

Definition at line 59 of file ClusteringModel.h.

Member Function Documentation

§ eval()

template<class InputT, class OutputT>

void shark::ClusteringModel< InputT, OutputT >::eval	(	BatchInputType const &	patterns,
		BatchOutputType &	outputs,
		State &	state
	)		const

inlinevirtual

Standard interface for evaluating the response of the model to a batch of patterns.

Parameters

patterns	the inputs of the model
outputs	the predictions or response of the model to every pattern
state	intermediate results stored by eval which can be reused for derivative computation.

Implements shark::AbstractModel< InputT, OutputT >.

Definition at line 85 of file ClusteringModel.h.

Referenced by shark::ClusteringModel< InputT, unsigned int >::eval().

§ numberOfParameters()

template<class InputT, class OutputT>

std::size_t shark::ClusteringModel< InputT, OutputT >::numberOfParameters ( ) const

inlinevirtual

Redirect parameter access to the clustering object.

Reimplemented from shark::IParameterizable.

Definition at line 73 of file ClusteringModel.h.

§ parameterVector()

template<class InputT, class OutputT>

RealVector shark::ClusteringModel< InputT, OutputT >::parameterVector ( ) const

inlinevirtual

Redirect parameter access to the clustering object.

Reimplemented from shark::IParameterizable.

Definition at line 65 of file ClusteringModel.h.

§ read()

template<class InputT, class OutputT>

void shark::ClusteringModel< InputT, OutputT >::read ( InArchive & archive )

inlinevirtual

From ISerializable, reads a model from an archive.

Reimplemented from shark::AbstractModel< InputT, OutputT >.

Definition at line 77 of file ClusteringModel.h.

§ setParameterVector()

template<class InputT, class OutputT>

void shark::ClusteringModel< InputT, OutputT >::setParameterVector ( RealVector const & newParameters )

inlinevirtual

Redirect parameter access to the clustering object.

Reimplemented from shark::IParameterizable.

Definition at line 69 of file ClusteringModel.h.

§ write()

template<class InputT, class OutputT>

void shark::ClusteringModel< InputT, OutputT >::write ( OutArchive & archive ) const

inlinevirtual

From ISerializable, writes a model to an archive.

Reimplemented from shark::AbstractModel< InputT, OutputT >.

Definition at line 81 of file ClusteringModel.h.

Member Data Documentation

§ mep_clustering

template<class InputT, class OutputT>

ClusteringType* shark::ClusteringModel< InputT, OutputT >::mep_clustering

protected

Clustering object, see class AbstractClustering.

Definition at line 91 of file ClusteringModel.h.

Referenced by shark::ClusteringModel< InputT, unsigned int >::numberOfParameters(), shark::ClusteringModel< InputT, unsigned int >::parameterVector(), shark::ClusteringModel< InputT, unsigned int >::read(), shark::ClusteringModel< InputT, unsigned int >::setParameterVector(), and shark::ClusteringModel< InputT, unsigned int >::write().

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

include/shark/Models/Clustering/ClusteringModel.h

Public Types

Public Member Functions

Protected Attributes

Detailed Description

template<class InputT, class OutputT> class shark::ClusteringModel< InputT, OutputT >

Member Typedef Documentation

§ BatchInputType

§ BatchOutputType

§ ClusteringType

Constructor & Destructor Documentation

§ ClusteringModel()

Member Function Documentation

§ eval()

§ numberOfParameters()

§ parameterVector()

§ read()

§ setParameterVector()

§ write()

Member Data Documentation

§ mep_clustering

template<class InputT, class OutputT>
class shark::ClusteringModel< InputT, OutputT >