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.

typedef OutputT	OutputType
	Defines the output type of the model.

typedef AbstractModel< InputT, OutputT, RealVector >	ModelBaseType
	Defines the BaseType used by the model (this type). Useful for creating derived models.

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

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

typedef TypedFlags< Feature >	Features

typedef TypedFeatureNotAvailableException< Feature >	FeatureNotAvailableException

Public Types inherited from shark::IParameterizable< VectorType >
typedef VectorType	ParameterVectorType

Public Member Functions
	ClusteringModel (ClusteringType *clustering)
	Constructor.

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

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

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

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

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

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

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.

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

virtual Shape	inputShape () const=0
	Returns the expected shape of the input.

virtual Shape	outputShape () const=0
	Returns the shape of the output.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

	BOOST_SERIALIZATION_SPLIT_MEMBER ()

Protected Attributes
ClusteringType *	mep_clustering
	Clustering object, see class AbstractClustering.

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 and Clustering Algorithms for possible clusterings

Definition at line 51 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 56 of file ClusteringModel.h.

◆ BatchOutputType

template<class InputT , class OutputT >

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

Definition at line 57 of file ClusteringModel.h.

◆ ClusteringType

template<class InputT , class OutputT >

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

Definition at line 55 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 60 of file ClusteringModel.h.

References SHARK_RUNTIME_CHECK.

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 86 of file ClusteringModel.h.

References shark::ClusteringModel< InputT, OutputT >::eval().

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