#include <shark/Algorithms/GradientDescent/Rprop.h>

Inheritance diagram for shark::IRpropPlusFull:

Public Member Functions
SHARK_EXPORT_SYMBOL	IRpropPlusFull ()

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

SHARK_EXPORT_SYMBOL void	init (ObjectiveFunctionType &objectiveFunction, SearchPointType const &startingPoint)
	initializes the optimizer using a predefined starting point More...

SHARK_EXPORT_SYMBOL void	init (ObjectiveFunctionType &objectiveFunction, SearchPointType const &startingPoint, double initDelta)

SHARK_EXPORT_SYMBOL void	step (ObjectiveFunctionType const &objectiveFunction)
	Carry out one step of the optimizer for the supplied objective function. More...

SHARK_EXPORT_SYMBOL void	setDerivativeThreshold (double derivativeThreshold)

SHARK_EXPORT_SYMBOL void	read (InArchive &archive)
	Read the component from the supplied archive. More...

SHARK_EXPORT_SYMBOL void	write (OutArchive &archive) const
	Write the component to the supplied archive. More...

Public Member Functions inherited from shark::RpropPlus
SHARK_EXPORT_SYMBOL	RpropPlus ()

Public Member Functions inherited from shark::RpropMinus
SHARK_EXPORT_SYMBOL	RpropMinus ()

void	setEtaMinus (double etaMinus)
	set decrease factor More...

void	setEtaPlus (double etaPlus)
	set increase factor More...

void	setMaxDelta (double d)
	set upper limit on update More...

void	setMinDelta (double d)
	set lower limit on update More...

double	maxDelta () const
	return the maximal step size component More...

Public Member Functions inherited from shark::AbstractSingleObjectiveOptimizer< RealVector >
virtual void	init (ObjectiveFunctionType &function)

virtual const SolutionType &	solution () const
	returns the current solution of the optimizer More...

Public Member Functions inherited from shark::AbstractOptimizer< RealVector, double, SingleObjectiveResultSet< RealVector > >
const Features &	features () const

virtual void	updateFeatures ()

bool	requiresValue () const

bool	requiresFirstDerivative () const

bool	requiresSecondDerivative () const

bool	canSolveConstrained () const

bool	requiresClosestFeasible () const

virtual	~AbstractOptimizer ()
	Empty virtual d'tor. More...

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
double	m_oldError
	The error of the last iteration. More...

double	m_derivativeThreshold
	A threshold below which partial derivatives are set to zero. More...

Protected Attributes inherited from shark::RpropPlus
RealVector	m_deltaw
	The final update values for all weights. More...

Protected Attributes inherited from shark::RpropMinus
ObjectiveFunctionType::FirstOrderDerivative	m_derivative

double	m_increaseFactor
	The increase factor \( \eta^+ \), set to 1.2 by default. More...

double	m_decreaseFactor
	The decrease factor \( \eta^- \), set to 0.5 by default. More...

double	m_maxDelta
	The upper limit of the increments \( \Delta w_i^{(t)} \), set to 1e100 by default. More...

double	m_minDelta
	The lower limit of the increments \( \Delta w_i^{(t)} \), set to 0.0 by default. More...

size_t	m_parameterSize

RealVector	m_oldDerivative
	The last error gradient. More...

RealVector	m_delta
	The absolute update values (increment) for all weights. More...

Protected Attributes inherited from shark::AbstractSingleObjectiveOptimizer< RealVector >
SolutionType	m_best
	current solution of the optimizer More...

Protected Attributes inherited from shark::AbstractOptimizer< RealVector, double, SingleObjectiveResultSet< RealVector > >
Features	m_features

Additional Inherited Members
Public Types inherited from shark::AbstractSingleObjectiveOptimizer< RealVector >
typedef base_type::SearchPointType	SearchPointType

typedef base_type::SolutionType	SolutionType

typedef base_type::ResultType	ResultType

typedef base_type::ObjectiveFunctionType	ObjectiveFunctionType

Public Types inherited from shark::AbstractOptimizer< RealVector, double, SingleObjectiveResultSet< RealVector > >
enum	Feature
	Models features that the optimizer requires from the objective function. More...

typedef RealVector	SearchPointType

typedef double	ResultType

typedef SingleObjectiveResultSet< RealVector >	SolutionType

typedef AbstractObjectiveFunction< RealVector, ResultType >	ObjectiveFunctionType

typedef TypedFlags< Feature >	Features

typedef TypedFeatureNotAvailableException< Feature >	FeatureNotAvailableException

Protected Member Functions inherited from shark::AbstractOptimizer< RealVector, double, SingleObjectiveResultSet< RealVector > >
void	checkFeatures (ObjectiveFunctionType const &objectiveFunction)
	Convenience function that checks whether the features of the supplied objective function match with the required features of the optimizer. More...

Detailed Description

Definition at line 411 of file Rprop.h.

Constructor & Destructor Documentation

§ IRpropPlusFull()

SHARK_EXPORT_SYMBOL shark::IRpropPlusFull::IRpropPlusFull ( )

Member Function Documentation

§ init() [1/2]

SHARK_EXPORT_SYMBOL void shark::IRpropPlusFull::init	(	ObjectiveFunctionType &	function,
		SearchPointType const &	startingPoint
	)

virtual

initializes the optimizer using a predefined starting point

Reimplemented from shark::RpropPlus.

Referenced by main(), and trainAutoencoderModel().

§ init() [2/2]

SHARK_EXPORT_SYMBOL void shark::IRpropPlusFull::init	(	ObjectiveFunctionType &	objectiveFunction,
		SearchPointType const &	startingPoint,
		double	initDelta
	)

virtual

Reimplemented from shark::RpropPlus.

§ name()

std::string shark::IRpropPlusFull::name ( ) const

inlinevirtual

From INameable: return the class name.

Reimplemented from shark::RpropPlus.

Definition at line 417 of file Rprop.h.

References shark::RpropMinus::init(), shark::RpropMinus::read(), SHARK_EXPORT_SYMBOL, shark::RpropMinus::step(), and shark::RpropMinus::write().

§ read()

SHARK_EXPORT_SYMBOL void shark::IRpropPlusFull::read ( InArchive & archive )

virtual

Read the component from the supplied archive.

Parameters

[in,out] archive The archive to read from.

Reimplemented from shark::RpropPlus.

§ setDerivativeThreshold()

SHARK_EXPORT_SYMBOL void shark::IRpropPlusFull::setDerivativeThreshold ( double derivativeThreshold )

§ step()

SHARK_EXPORT_SYMBOL void shark::IRpropPlusFull::step ( ObjectiveFunctionType const & function )

virtual

Carry out one step of the optimizer for the supplied objective function.

Parameters

[in] function The objective function to initialize for.

Reimplemented from shark::RpropPlus.

Referenced by main(), and trainAutoencoderModel().

§ write()

SHARK_EXPORT_SYMBOL void shark::IRpropPlusFull::write ( OutArchive & archive ) const

virtual

Write the component to the supplied archive.

Parameters

[in,out] archive The archive to write to.

Reimplemented from shark::RpropPlus.

Member Data Documentation

§ m_derivativeThreshold

double shark::IRpropPlusFull::m_derivativeThreshold

protected

A threshold below which partial derivatives are set to zero.

Definition at line 435 of file Rprop.h.

§ m_oldError

double shark::IRpropPlusFull::m_oldError

protected

The error of the last iteration.

Definition at line 433 of file Rprop.h.

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

include/shark/Algorithms/GradientDescent/Rprop.h

Public Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

§ IRpropPlusFull()

Member Function Documentation

§ init() [1/2]

§ init() [2/2]

§ name()

§ read()

§ setDerivativeThreshold()

§ step()

§ write()

Member Data Documentation

§ m_derivativeThreshold

§ m_oldError