Implementation of Random Feature preprocessing. More...

#include <RandomFeature.h>

Inheritance diagram for iCub::learningmachine::RandomFeature:

Public Member Functions
	RandomFeature (unsigned int dom=1, unsigned int cod=1, double gamma=1.)
	Constructor.

virtual	~RandomFeature ()
	Destructor (empty).

virtual RandomFeature *	clone ()
	Asks the transformer to return a new object of its type.

virtual yarp::sig::Vector	transform (const yarp::sig::Vector &input)
	Transforms an input vector.

virtual std::string	getInfo ()
	Asks the transformer to return a string containing statistics on its operation so far.

virtual std::string	getConfigHelp ()
	Asks the transformer to return a string containing the list of configuration options that it supports.

virtual void	setDomainSize (unsigned int size)
	Mutator for the domain size.

virtual void	setCoDomainSize (unsigned int size)
	Mutator for the codomain size.

virtual void	reset ()
	Forget everything and start over.

virtual bool	configure (yarp::os::Searchable &config)

virtual double	getGamma () const
	Accessor for the gamma parameter.

virtual void	setGamma (double g)
	Mutator for the gamma parameter.

Public Member Functions inherited from iCub::learningmachine::IFixedSizeTransformer
	IFixedSizeTransformer (unsigned int dom=1, unsigned int cod=1)
	Constructor.

unsigned int	getDomainSize () const
	Returns the size (dimensionality) of the input domain.

unsigned int	getCoDomainSize () const
	Returns the size (dimensionality) of the output domain (codomain).

Public Member Functions inherited from iCub::learningmachine::ITransformer
	ITransformer ()
	Constructor.

virtual	~ITransformer ()
	Destructor (empty).

std::string	getName () const
	Retrieve the name of this transformer.

void	setName (std::string name)
	Set the name of this transformer.

bool	write (yarp::os::ConnectionWriter &connection) const

bool	read (yarp::os::ConnectionReader &connection)

virtual std::string	toString ()
	Asks the transformer to return a string serialization.

virtual bool	fromString (const std::string &str)
	Asks the transformer to initialize from a string serialization.

Protected Member Functions
virtual void	writeBottle (yarp::os::Bottle &bot) const
	Writes a serialization of the transformer into a bottle.

virtual void	readBottle (yarp::os::Bottle &bot)
	Unserializes a transformer from a bottle.

Protected Member Functions inherited from iCub::learningmachine::IFixedSizeTransformer
virtual bool	checkDomainSize (const yarp::sig::Vector &input)
	Checks whether the input is of the desired dimensionality.

virtual bool	checkCoDomainSize (const yarp::sig::Vector &output)
	Checks whether the output is of the desired dimensionality.

void	validateDomainSizes (const yarp::sig::Vector &input, const yarp::sig::Vector &output)
	Validates whether the input and output are of the desired dimensionality.

Protected Attributes
double	gamma
	Gamma parameter, analoguous to same parameter in RBF kernel.

yarp::sig::Matrix	W
	Projection matrix W.

yarp::sig::Vector	b
	Bias vector b.

Protected Attributes inherited from iCub::learningmachine::IFixedSizeTransformer
unsigned int	domainSize
	The dimensionality of the input domain.

unsigned int	coDomainSize
	The dimensionality of the output domain (codomain).

Protected Attributes inherited from iCub::learningmachine::ITransformer
std::string	name
	The name of this type of transformer.

int	sampleCount
	Number of samples transformed since initialization.

Detailed Description

Implementation of Random Feature preprocessing.

See also: iCub::learningmachine::SparseSpectrumFeature

See: Random Features for Large-Scale Kernel Machines. Ali Rahimi and Ben Recht. In Neural Information Processing Systems (NIPS) 2007.

Author: Arjan Gijsberts

Definition at line 45 of file RandomFeature.h.

Constructor & Destructor Documentation

◆ RandomFeature()

iCub::learningmachine::RandomFeature::RandomFeature	(	unsigned int	dom = `1`,
		unsigned int	cod = `1`,
		double	gamma = `1.`
	)

Constructor.

Parameters

dom	initial domain size
cod	initial codomain size
g	initial value for \gamma

Definition at line 39 of file RandomFeature.cpp.

◆ ~RandomFeature()

virtual iCub::learningmachine::RandomFeature::~RandomFeature ( )

inlinevirtual

Destructor (empty).

Definition at line 85 of file RandomFeature.h.

Member Function Documentation

◆ clone()

virtual RandomFeature * iCub::learningmachine::RandomFeature::clone ( )

inlinevirtual

Asks the transformer to return a new object of its type.

Returns: a fresh instance of the current class

Implements iCub::learningmachine::ITransformer.

Definition at line 90 of file RandomFeature.h.

◆ configure()

bool iCub::learningmachine::RandomFeature::configure ( yarp::os::Searchable & config )

virtual

Reimplemented from iCub::learningmachine::IFixedSizeTransformer.

Definition at line 111 of file RandomFeature.cpp.

◆ getConfigHelp()

std::string iCub::learningmachine::RandomFeature::getConfigHelp ( )

virtual

Asks the transformer to return a string containing the list of configuration options that it supports.

Returns: an informative description of the configuration options

Reimplemented from iCub::learningmachine::IFixedSizeTransformer.

Definition at line 104 of file RandomFeature.cpp.

◆ getGamma()

virtual double iCub::learningmachine::RandomFeature::getGamma ( ) const

inlinevirtual

Accessor for the gamma parameter.

Returns: gamma.

Definition at line 134 of file RandomFeature.h.

◆ getInfo()

std::string iCub::learningmachine::RandomFeature::getInfo ( )

virtual

Asks the transformer to return a string containing statistics on its operation so far.

Returns: the statistics of the transformer

Reimplemented from iCub::learningmachine::IFixedSizeTransformer.

Definition at line 97 of file RandomFeature.cpp.

◆ readBottle()

void iCub::learningmachine::RandomFeature::readBottle ( yarp::os::Bottle & bot )

protectedvirtual

Unserializes a transformer from a bottle.

This method is internally referenced by the read method. Typically, subclasses should override this method instead of overriding the read method directly.

Parameters

bot	the bottle

Reimplemented from iCub::learningmachine::IFixedSizeTransformer.

Definition at line 88 of file RandomFeature.cpp.

◆ reset()

void iCub::learningmachine::RandomFeature::reset ( )

virtual

Forget everything and start over.

Reimplemented from iCub::learningmachine::ITransformer.

Definition at line 69 of file RandomFeature.cpp.

◆ setCoDomainSize()

void iCub::learningmachine::RandomFeature::setCoDomainSize ( unsigned int size )

virtual

Mutator for the codomain size.

Parameters

size	the desired codomain size

Reimplemented from iCub::learningmachine::IFixedSizeTransformer.

Definition at line 62 of file RandomFeature.cpp.

◆ setDomainSize()

void iCub::learningmachine::RandomFeature::setDomainSize ( unsigned int size )

virtual

Mutator for the domain size.

Parameters

size	the desired domain size

Reimplemented from iCub::learningmachine::IFixedSizeTransformer.

Definition at line 55 of file RandomFeature.cpp.

◆ setGamma()

virtual void iCub::learningmachine::RandomFeature::setGamma ( double g )

inlinevirtual

Mutator for the gamma parameter.

Parameters

g	the desired gamma.

Definition at line 143 of file RandomFeature.h.

◆ transform()

yarp::sig::Vector iCub::learningmachine::RandomFeature::transform ( const yarp::sig::Vector & input )

virtual

Transforms an input vector.

Parameters

input the input vector

Returns: the output vector

Reimplemented from iCub::learningmachine::IFixedSizeTransformer.

Definition at line 47 of file RandomFeature.cpp.

◆ writeBottle()

void iCub::learningmachine::RandomFeature::writeBottle ( yarp::os::Bottle & bot ) const

protectedvirtual

Writes a serialization of the transformer into a bottle.

This method is internally referenced by the write method. Typically, subclasses should override this method instead of overriding the write method directly.

Parameters

bot	the bottle containing the transformer serialization

Reimplemented from iCub::learningmachine::IFixedSizeTransformer.

Definition at line 82 of file RandomFeature.cpp.

Member Data Documentation

◆ b

yarp::sig::Vector iCub::learningmachine::RandomFeature::b

protected

Bias vector b.

Definition at line 60 of file RandomFeature.h.

◆ gamma

double iCub::learningmachine::RandomFeature::gamma

protected

Gamma parameter, analoguous to same parameter in RBF kernel.

Definition at line 50 of file RandomFeature.h.

◆ W

yarp::sig::Matrix iCub::learningmachine::RandomFeature::W

protected

Projection matrix W.

Definition at line 55 of file RandomFeature.h.

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

icub-main/src/libraries/learningMachine/include/iCub/learningMachine/RandomFeature.h
icub-main/src/libraries/learningMachine/src/RandomFeature.cpp

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

◆ RandomFeature()

◆ ~RandomFeature()

Member Function Documentation

◆ clone()

◆ configure()

◆ getConfigHelp()

◆ getGamma()

◆ getInfo()

◆ readBottle()

◆ reset()

◆ setCoDomainSize()

◆ setDomainSize()

◆ setGamma()

◆ transform()

◆ writeBottle()

Member Data Documentation

◆ b

◆ gamma

◆ W