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...
Public Member Functions inherited from PndMvaClassifier
	PndMvaClassifier (std::string const &InPut, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames)
	Constructor. More...
virtual	~PndMvaClassifier ()
	Destructor. 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...

Additional Inherited Members
Protected Member Functions inherited from PndMvaClassifier
virtual void	NormalizeEvent (std::vector< float > &EvtVector) const
	Normalize the given event vector. More...
void	SetAppType (AppType t)
Protected Attributes inherited from PndMvaClassifier
PndMvaDataSet	m_dataSets
	Data set. Holds event Weights. More...

Detailed Description

!< Type definition of the neighbour list.

KNN based classification alg. implementation.

Definition at line 28 of file PndKnnClassify.h.

Constructor & Destructor Documentation

PndKnnClassify()

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.

Referenced by print().

~PndKnnClassify()

virtual PndKnnClassify::~PndKnnClassify ( )

virtual

Destructor.

Member Function Documentation

Classify()

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.

GetKnn()

size_t PndKnnClassify::GetKnn ( )

inline

Get the number of neighbours.

Definition at line 113 of file PndKnnClassify.h.

{
  return m_knn;
};

GetMvaValues()

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.

Initialize()

virtual void PndKnnClassify::Initialize ( )

virtual

Initialize the needed internal and external data structures.

Reimplemented from PndMvaClassifier.

print()

void PndKnnClassify::print ( )

inline

DEBUG Produces a lot of output.

Definition at line 73 of file PndKnnClassify.h.

References PndKnnClassify().

{ m_module->Print(); }

SetEvtParam()

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 102 of file PndKnnClassify.h.

{
  m_ScaleFact = scFact;
  m_weight = weight;
};

SetKnn()

void PndKnnClassify::SetKnn ( size_t const  N )

inline

Set the number of neighbours.

Definition at line 108 of file PndKnnClassify.h.

{
  m_knn = N;
};

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

• PndKnnClassify.h