PndStdKnnClassify Class Reference

#include <PndStdKnnClassify.h>

Inheritance diagram for PndStdKnnClassify:

Public Member Functions
	PndStdKnnClassify (std::string const &inputFile, std::vector< std::string > const &classNames, std::vector< std::string > const &varNames)
virtual	~PndStdKnnClassify ()
	Destructor. More...
void	GetMvaValues (std::vector< float > eventData, std::map< std::string, float > &result)
std::string *	Classify (std::vector< float > EvtData)
void	SetKNN (unsigned int const nNeighbours)
unsigned int	GetKnn () const
void	Initialize ()
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 Member Functions
	PndStdKnnClassify (const PndStdKnnClassify &other)
	To avoid mistakes. More...
PndStdKnnClassify &	operator= (const PndStdKnnClassify &other)

Private Attributes
unsigned int	m_Knn
	Number of Neighbours. More...
std::vector< PndMvaDistObj >	m_distances
	Container to hold the distances to current pattern. More...

Detailed Description

Definition at line 23 of file PndStdKnnClassify.h.

Constructor & Destructor Documentation

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

explicit

Parameters

inputFile	The name of the file that holds the weights
classNames	The names of classes to which an event might be assigned to.
varNames	Variable names from which the feature vector is built.

virtual PndStdKnnClassify::~PndStdKnnClassify ( )

virtual

Destructor.

PndStdKnnClassify::PndStdKnnClassify ( const PndStdKnnClassify &  other )

private

To avoid mistakes.

Member Function Documentation

std::string* PndStdKnnClassify::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();
};

unsigned int PndStdKnnClassify::GetKnn ( ) const

inline

Get number of neighbors.

Definition at line 83 of file PndStdKnnClassify.h.

References m_Knn.

{
  return m_Knn;
};

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

virtual

Classification function.

Parameters

EvtData	Feature vector of the current event which we want to classify.
result	Holds the normalized results of classification for every class of events.

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();
};

void PndStdKnnClassify::Initialize ( )

virtual

Initialize classifier.

Reimplemented from PndMvaClassifier.

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

protectedvirtualinherited

Normalize the given event vector.

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

private

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 PndStdKnnClassify::SetKNN ( unsigned int const  nNeighbours )

inline

Parameters

Neighbours

Number of Neighbours.

Definition at line 88 of file PndStdKnnClassify.h.

References m_Knn.

{
  m_Knn = nNeighbours;
};

Member Data Documentation

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().

std::vector<PndMvaDistObj> PndStdKnnClassify::m_distances

private

Container to hold the distances to current pattern.

Definition at line 80 of file PndStdKnnClassify.h.

unsigned int PndStdKnnClassify::m_Knn

private

Number of Neighbours.

Definition at line 77 of file PndStdKnnClassify.h.

Referenced by GetKnn(), and SetKNN().

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

• PndStdKnnClassify.h