shark::KernelMeanClassifier< InputType > Class Template Reference

Kernelized mean-classifier. More...

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

Inheritance diagram for shark::KernelMeanClassifier< InputType >:

Public Member Functions
	KernelMeanClassifier (AbstractKernelFunction< InputType > *kernel)
std::string	name () const
	returns the name of the object
void	train (KernelClassifier< InputType > &model, WeightedLabeledData< InputType, unsigned int > const &dataset)
Public Member Functions inherited from shark::AbstractWeightedTrainer< KernelClassifier< InputType >, unsigned int >
virtual void	train (ModelType &model, WeightedDatasetType const &dataset)=0
	Executes the algorithm and trains a model on the given weighted data.
virtual void	train (ModelType &model, DatasetType const &dataset)
	Executes the algorithm and trains a model on the given unweighted data.
Public Member Functions inherited from shark::AbstractTrainer< Model, LabelTypeT >
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 ()

Public Attributes
AbstractKernelFunction< InputType > *	mpe_kernel

Additional Inherited Members
Public Types inherited from shark::AbstractWeightedTrainer< KernelClassifier< InputType >, unsigned int >
typedef base_type::ModelType	ModelType
typedef base_type::InputType	InputType
typedef base_type::LabelType	LabelType
typedef base_type::DatasetType	DatasetType
typedef WeightedLabeledData< InputType, LabelType >	WeightedDatasetType
Public Types inherited from shark::AbstractTrainer< Model, LabelTypeT >
typedef Model	ModelType
typedef ModelType::InputType	InputType
typedef LabelTypeT	LabelType
typedef LabeledData< InputType, LabelType >	DatasetType

Detailed Description

template<class InputType>
class shark::KernelMeanClassifier< InputType >

Kernelized mean-classifier.

Computes the mean of the training data in feature space for each class and assigns a new data point to the class with the nearest mean. The trainer supports multi-class and weighted data

The resulting classifier is a kernel expansion as assigning the label with minimum distance (or maximum negative distance by convention for classifiers)

\[ max -1/2 ||\phi(x) - m_i||^2 = <\phi(x), m_i> - 1/2<m_i,m_i> \]

Definition at line 55 of file KernelMeanClassifier.h.

Constructor & Destructor Documentation

KernelMeanClassifier()

template<class InputType >

shark::KernelMeanClassifier< InputType >::KernelMeanClassifier ( AbstractKernelFunction< InputType > *  kernel )

inline

Definition at line 57 of file KernelMeanClassifier.h.

Member Function Documentation

name()

template<class InputType >

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

inlinevirtual

returns the name of the object

Reimplemented from shark::INameable.

Definition at line 59 of file KernelMeanClassifier.h.

train()

template<class InputType >

void shark::KernelMeanClassifier< InputType >::train ( KernelClassifier< InputType > &  model, WeightedLabeledData< InputType, unsigned int > const &  dataset  )

inline

Definition at line 63 of file KernelMeanClassifier.h.

References shark::classWeight(), shark::Classifier< Model >::decisionFunction(), shark::AbstractKernelFunction< InputTypeT >::eval(), shark::WeightedLabeledData< InputT, LabelT >::inputs(), shark::KernelMeanClassifier< InputType >::mpe_kernel, SHARK_RUNTIME_CHECK, and shark::sqr().

Member Data Documentation

mpe_kernel

template<class InputType >

AbstractKernelFunction<InputType>* shark::KernelMeanClassifier< InputType >::mpe_kernel

Definition at line 104 of file KernelMeanClassifier.h.

Referenced by shark::KernelMeanClassifier< InputType >::train().

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

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