#include <PndMvaTrainer.h>

Inheritance diagram for PndMvaTrainer:

Public Member Functions
	PndMvaTrainer (std::vector< std::pair< std::string, std::vector< float > * > > const &InputEvtsParam, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames, bool trim=true)

	PndMvaTrainer (std::string const &InPut, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames, bool trim=true)

virtual	~PndMvaTrainer ()
	Destructor. More...

virtual void	Train ()=0
	Derived classes need to implement this methode. More...

virtual void	storeWeights ()=0

void	SetTestSetSize (size_t percent=50)

void	SetTestSet (std::set< size_t > const &testSet)

void	NormalizeData (NormType t=NONORM)

void	PCATransForm ()

void	SetOutPutFile (std::string const &outFile)

void	WriteErroVect (std::string const &FileName) const

std::vector< StepError > const &	GetErrorValues () const

virtual void	Initialize ()

std::set< size_t > const &	GetTestEvetIdx () const

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...

virtual void	EvalClassifierError ()

size_t	GetRndSeed () const

void	SetRndSeed (size_t const sd)

Protected Member Functions
void	SetAppType (AppType t)

void	WriteToWeightFile (std::vector< std::pair< std::string, std::vector< float > * > > const &weights) const

void	splitTetsSet ()

Protected Attributes
std::set< size_t >	m_testSet_indices
	Indices of the test set. More...

PndMvaDataSet	m_dataSets
	Data set. Holds event values. More...

std::vector< StepError >	m_StepErro
	Container to keep per step error values. More...

std::string	m_outFile
	Output filename. More...

size_t	m_RND_seed
	Random seed. More...

Private Member Functions
	PndMvaTrainer (PndMvaTrainer const &other)
	To avoid mistakes. More...

PndMvaTrainer &	operator= (PndMvaTrainer const &other)

Private Attributes
bool	m_trim

size_t	m_testSetSize

Detailed Description

Definition at line 33 of file PndMvaTrainer.h.

Constructor & Destructor Documentation

PndMvaTrainer::PndMvaTrainer	(	std::vector< std::pair< std::string, std::vector< float > * > > const &	InputEvtsParam,
		std::vector< std::string > const &	ClassNames,
		std::vector< std::string > const &	VarNames,
		bool	trim = `true`
	)

explicit

Constructor.

Parameters

InPut	The input parameters.
ClassNames	Names of available labels(classes).
VarNames	Names of available variables.

PndMvaTrainer::PndMvaTrainer	(	std::string const &	InPut,
		std::vector< std::string > const &	ClassNames,
		std::vector< std::string > const &	VarNames,
		bool	trim = `true`
	)

explicit

Constructor.

Parameters

InPut,The	input filename.
ClassNames	Names of available classes.
VarNames	Names of available variables.

virtual PndMvaTrainer::~PndMvaTrainer ( )

virtual

Destructor.

PndMvaTrainer::PndMvaTrainer ( PndMvaTrainer const & other )

private

To avoid mistakes.

Member Function Documentation

virtual void PndMvaTrainer::EvalClassifierError ( )

virtual

Classifier evaluation.

Reimplemented in PndLVQTrain.

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

inline

Get the list of available classes (labels).

Get the list of available classes (labels). Vector containing available labels.

Definition at line 226 of file PndMvaTrainer.h.

References PndMvaDataSet::GetClasses(), and m_dataSets.

 {
   return m_dataSets.GetClasses();
 };

std::vector< StepError > const & PndMvaTrainer::GetErrorValues ( ) const

inline

Get the list of objects that contain the classifier evaluation results.

Returns: List of evaluation objects.

Definition at line 238 of file PndMvaTrainer.h.

References m_StepErro.

 {
   return m_StepErro;
 };

size_t PndMvaTrainer::GetRndSeed ( ) const

inline

Definition at line 200 of file PndMvaTrainer.h.

References m_RND_seed.

 {
   return this->m_RND_seed;
 };

std::set< size_t > const & PndMvaTrainer::GetTestEvetIdx ( ) const

inline

Get the indices of the events selected to be used for testing.

Returns: A set containing the indices of test events.

Definition at line 220 of file PndMvaTrainer.h.

References m_testSet_indices.

 {
   return m_testSet_indices;
 };

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

inline

Get the list of available variables.

Get the list of available variables. Vector containing available Parameters (features).

Definition at line 232 of file PndMvaTrainer.h.

References PndMvaDataSet::GetVars(), and m_dataSets.

 {
   return m_dataSets.GetVars();
 };

virtual void PndMvaTrainer::Initialize ( )

virtual

Initialize data structures.

Reimplemented in PndMultiClassBdtTrain, and PndMultiClassMlpTrain.

void PndMvaTrainer::NormalizeData ( NormType t = NONORM )

Select input data normalization scheme.

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

private

void PndMvaTrainer::PCATransForm ( )

Parameter decorrelation. Performs PCA (Principal component analysis) on the input dataset.

void PndMvaTrainer::SetAppType ( AppType t )

inlineprotected

Set application type for the current object

Definition at line 215 of file PndMvaTrainer.h.

References m_dataSets, and PndMvaDataSet::SetAppType().

 {
   m_dataSets.SetAppType(t);
 };

void PndMvaTrainer::SetOutPutFile ( std::string const & outFile )

inline

Setter to set the weightfile name.

Parameters

outFile Output filename.

Definition at line 210 of file PndMvaTrainer.h.

References m_outFile, and outFile.

 {
   m_outFile = outFile;
 };

void PndMvaTrainer::SetRndSeed ( size_t const sd )

inline

Definition at line 205 of file PndMvaTrainer.h.

References m_RND_seed.

 {
   this->m_RND_seed = sd;
 };

void PndMvaTrainer::SetTestSet ( std::set< size_t > const & testSet )

Set the indices of events that are going to be used for testing.

Parameters

testSet Set containing the indices of the test events.

void PndMvaTrainer::SetTestSetSize ( size_t percent = 50 )

Creates test and train data sets.

Parameters

percent Percent of the data set to be used for testing.

void PndMvaTrainer::splitTetsSet ( )

protected

virtual void PndMvaTrainer::storeWeights ( )

pure virtual

Store weights in the output File. If output file name is not specified, then write nothing.

Implemented in PndLVQTrain, PndMultiClassBdtTrain, PndMultiClassMlpTrain, and PndKnnTrain.

virtual void PndMvaTrainer::Train ( )

pure virtual

Derived classes need to implement this methode.

Implemented in PndLVQTrain, PndMultiClassBdtTrain, PndMultiClassMlpTrain, PndKnnTrain, and PndPDEFoamTrain.

void PndMvaTrainer::WriteErroVect ( std::string const & FileName ) const

Writes the train and test errors evaluations to a given file.

Parameters

FileName Output file name.

void PndMvaTrainer::WriteToWeightFile ( std::vector< std::pair< std::string, std::vector< float > * > > const & weights ) const

protected

Write the training and normalization data to outFile.

Member Data Documentation

PndMvaDataSet PndMvaTrainer::m_dataSets

protected

Data set. Holds event values.

Definition at line 175 of file PndMvaTrainer.h.

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

std::string PndMvaTrainer::m_outFile

protected

Output filename.

Definition at line 181 of file PndMvaTrainer.h.

Referenced by SetOutPutFile().

size_t PndMvaTrainer::m_RND_seed

protected

Random seed.

Definition at line 184 of file PndMvaTrainer.h.

Referenced by GetRndSeed(), and SetRndSeed().

std::vector<StepError> PndMvaTrainer::m_StepErro

protected

Container to keep per step error values.

Definition at line 178 of file PndMvaTrainer.h.

Referenced by GetErrorValues().

std::set<size_t> PndMvaTrainer::m_testSet_indices

protected

Indices of the test set.

Definition at line 172 of file PndMvaTrainer.h.

Referenced by GetTestEvetIdx().

size_t PndMvaTrainer::m_testSetSize

private

Definition at line 196 of file PndMvaTrainer.h.

bool PndMvaTrainer::m_trim

private

Definition at line 195 of file PndMvaTrainer.h.

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

PndMvaTrainer.h

Public Member Functions

Protected Member Functions

Protected Attributes

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation