shark::Perceptron< InputType > Class Template Reference

Perceptron online learning algorithm. More...

#include <shark/Algorithms/Trainers/Perceptron.h>

Inheritance diagram for shark::Perceptron< InputType >:

Public Member Functions
	Perceptron (AbstractKernelFunction< InputType > *kernel, std::size_t maxTimesPattern=10000)
	Constructor.
std::string	name () const
	From INameable: return the class name.
void	train (KernelClassifier< InputType > &classifier, LabeledData< InputType, unsigned int > const &dataset)
Public Member Functions inherited from shark::AbstractTrainer< KernelClassifier< InputType >, unsigned int >
virtual void	train (ModelType &model, DatasetType const &dataset)=0
	Core of the Trainer interface.
Public Member Functions inherited from shark::INameable
virtual	~INameable ()
Public Member Functions inherited from shark::ISerializable
virtual	~ISerializable ()
	Virtual d'tor.
virtual void	read (InArchive &archive)
	Read the component from the supplied archive.
virtual void	write (OutArchive &archive) const
	Write the component to the supplied archive.
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 ()

Additional Inherited Members
Public Types inherited from shark::AbstractTrainer< KernelClassifier< InputType >, unsigned int >
typedef KernelClassifier< InputType >	ModelType
typedef ModelType::InputType	InputType
typedef unsigned int	LabelType
typedef LabeledData< InputType, LabelType >	DatasetType

Detailed Description

template<class InputType>
class shark::Perceptron< InputType >

Perceptron online learning algorithm.

Definition at line 46 of file Perceptron.h.

Constructor & Destructor Documentation

Perceptron()

template<class InputType >

shark::Perceptron< InputType >::Perceptron ( AbstractKernelFunction< InputType > *  kernel, std::size_t  maxTimesPattern = 10000  )

inline

Constructor.

Parameters

kernel	is the (Mercer) kernel function.
maxTimesPattern	defines the maximum number of times the data is processed before the algorithms stopps.

Definition at line 53 of file Perceptron.h.

Member Function Documentation

name()

template<class InputType >

std::string shark::Perceptron< InputType >::name ( ) const

inlinevirtual

From INameable: return the class name.

Reimplemented from shark::INameable.

Definition at line 57 of file Perceptron.h.

train()

template<class InputType >

void shark::Perceptron< InputType >::train ( KernelClassifier< InputType > &  classifier, LabeledData< InputType, unsigned int > const &  dataset  )

inline

Definition at line 60 of file Perceptron.h.

References shark::KernelExpansion< InputType >::alpha(), shark::Classifier< Model >::decisionFunction(), shark::LabeledData< InputT, LabelT >::element(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::numberOfElements(), and shark::KernelExpansion< InputType >::setStructure().

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

• include/shark/Algorithms/Trainers/Perceptron.h