PndKnnClassify Class Reference

!< Type definition of the neighbour list. More...

#include <PndKnnClassify.h>

Inheritance diagram for PndKnnClassify:

Public Member Functions
	PndKnnClassify (std::string const &inputFile, std::vector< std::string > const &classNames, std::vector< std::string > const &varNames)
virtual	~PndKnnClassify ()
	Destructor. More...
void	GetMvaValues (std::vector< float > eventData, std::map< std::string, float > &result)
std::string *	Classify (std::vector< float > EvtData)
void	SetEvtParam (float const scFact, double const weight)
void	SetKnn (size_t const N)
	Set the number of neighbours. More...
size_t	GetKnn ()
	Get the number of neighbours. More...
virtual void	Initialize ()
void	print ()
	DEBUG Produces a lot of output. More...
std::vector< PndMvaClass > const &	GetClasses () const
	Get the list of available classes (labels). More...
std::vector< PndMvaVariable > const &	GetVariables () const
	Get the list of available variables. More...

Protected Member Functions
virtual void	NormalizeEvent (std::vector< float > &EvtVector) const
	Normalize the given event vector. More...
void	SetAppType (AppType t)

Protected Attributes
PndMvaDataSet	m_dataSets
	Data set. Holds event Weights. More...

Private Types
typedef std::list< std::pair < const TMVA::kNN::Node < TMVA::kNN::Event > *, float > >	ResList

Private Member Functions
	PndKnnClassify (PndKnnClassify const &other)
	DEBUG. More...
PndKnnClassify &	operator= (PndKnnClassify const &other)
void	InitKNN ()
	Type definition for the neighbours list. More...

Private Attributes
size_t	m_knn
	Number of required neighbours. More...
float	m_ScaleFact
	Scalefactor Default = 0.8. More...
double	m_weight
	Event weight. More...
TMVA::kNN::ModulekNN *	m_module
std::map< std::string, size_t >	m_classIndices

Detailed Description

!< Type definition of the neighbour list.

KNN based classification alg. implementation.

Definition at line 28 of file PndKnnClassify.h.

Member Typedef Documentation

typedef std::list< std::pair<const TMVA::kNN::Node<TMVA::kNN::Event>*, float> > PndKnnClassify::ResList

private

Definition at line 92 of file PndKnnClassify.h.

Constructor & Destructor Documentation

PndKnnClassify::PndKnnClassify ( std::string const &  inputFile, std::vector< std::string > const &  classNames, std::vector< std::string > const &  varNames  )

explicit

Constructor.

Parameters

inputFile,:	File that holds the weights
classNames,:	Class names.
varNames,:	Variable names from which the feature vector is built.

virtual PndKnnClassify::~PndKnnClassify ( )

virtual

Destructor.

PndKnnClassify::PndKnnClassify ( PndKnnClassify const &  other )

private

DEBUG.

Member Function Documentation

std::string* PndKnnClassify::Classify ( std::vector< float >  EvtData )

virtual

Given a feature vector describing the pattern. Classifies the pattern.

Parameters

EvtData

Input vector describing the pattern.

Returns

The name of the class to which the current pattern is assigned.

Implements PndMvaClassifier.

std::vector< PndMvaClass > const & PndMvaClassifier::GetClasses ( ) const

inlineinherited

Get the list of available classes (labels).

Definition at line 90 of file PndMvaClassifier.h.

References PndMvaDataSet::GetClasses(), and PndMvaClassifier::m_dataSets.

{
  return m_dataSets.GetClasses();
};

size_t PndKnnClassify::GetKnn ( )

inline

Get the number of neighbours.

Definition at line 117 of file PndKnnClassify.h.

References m_knn.

{
  return m_knn;
};

void PndKnnClassify::GetMvaValues ( std::vector< float >  eventData, std::map< std::string, float > &  result  )

virtual

Classification function.

Parameters

eventData,:	Feature vector of the current event.
result,:	Holds the normalized results of classification

Implements PndMvaClassifier.

std::vector< PndMvaVariable > const & PndMvaClassifier::GetVariables ( ) const

inlineinherited

Get the list of available variables.

Definition at line 96 of file PndMvaClassifier.h.

References PndMvaDataSet::GetVars(), and PndMvaClassifier::m_dataSets.

{
  return m_dataSets.GetVars();
};

virtual void PndKnnClassify::Initialize ( )

virtual

Initialize the needed internal and external data structures.

Reimplemented from PndMvaClassifier.

Referenced by PndPidMvaAssociatorTask::Init().

void PndKnnClassify::InitKNN ( )

private

Type definition for the neighbours list.

Initialize the KNN classifier.

virtual void PndMvaClassifier::NormalizeEvent ( std::vector< float > &  EvtVector ) const

protectedvirtualinherited

Normalize the given event vector.

PndKnnClassify& PndKnnClassify::operator= ( PndKnnClassify const &  other )

private

void PndKnnClassify::print ( )

inline

DEBUG Produces a lot of output.

Definition at line 77 of file PndKnnClassify.h.

References m_module.

{m_module->Print();}

void PndMvaClassifier::SetAppType ( AppType  t )

inlineprotectedinherited

Definition at line 83 of file PndMvaClassifier.h.

References PndMvaClassifier::m_dataSets, and PndMvaDataSet::SetAppType().

{
  m_dataSets.SetAppType(t);
};

void PndKnnClassify::SetEvtParam ( float const  scFact, double const  weight  )

inline

Set the scalefactor and the event weight for KNN classifier.

Parameters

scFact	Scale factor.
weight	Events weight.

Definition at line 106 of file PndKnnClassify.h.

References m_ScaleFact, and m_weight.

Referenced by PndPidMvaAssociatorTask::Init().

{
  m_ScaleFact = scFact;
  m_weight = weight;
};

void PndKnnClassify::SetKnn ( size_t const  N )

inline

Set the number of neighbours.

Definition at line 112 of file PndKnnClassify.h.

References m_knn.

Referenced by PndPidMvaAssociatorTask::Init().

{
  m_knn = N;
};

Member Data Documentation

std::map<std::string, size_t> PndKnnClassify::m_classIndices

private

Mapping between class names and their indices in the class vector.

Definition at line 102 of file PndKnnClassify.h.

PndMvaDataSet PndMvaClassifier::m_dataSets

protectedinherited

Data set. Holds event Weights.

Definition at line 75 of file PndMvaClassifier.h.

Referenced by PndMvaClassifier::GetClasses(), PndMvaClassifier::GetVariables(), and PndMvaClassifier::SetAppType().

size_t PndKnnClassify::m_knn

private

Number of required neighbours.

Definition at line 94 of file PndKnnClassify.h.

Referenced by GetKnn(), and SetKnn().

TMVA::kNN::ModulekNN* PndKnnClassify::m_module

private

Definition at line 97 of file PndKnnClassify.h.

Referenced by print().

float PndKnnClassify::m_ScaleFact

private

Scalefactor Default = 0.8.

Definition at line 95 of file PndKnnClassify.h.

Referenced by SetEvtParam().

double PndKnnClassify::m_weight

private

Event weight.

Definition at line 96 of file PndKnnClassify.h.

Referenced by SetEvtParam().

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

• PndKnnClassify.h