#include <PndMultiClassMlpTrain.h>

Inheritance diagram for PndMultiClassMlpTrain:

Public Member Functions
	PndMultiClassMlpTrain (std::string const &InPut, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames, bool trim=true)

virtual	~PndMultiClassMlpTrain ()

void	Train ()

void	storeWeights ()

void	Initialize ()

void	SetJobName (std::string const &name)

void	SetTransformation (std::string const &tran)

void	SetMlpOptions (std::string const &opts)

void	SetEvalFileName (std::string const &fname)

void	SetWeightsOutDir (std::string const &dirName)

void	SetEvaluation (bool evaluate)

std::string const &	GetJobName () const

std::string const &	GetTransformation () const

std::string const &	GetMlpOptions () const

std::string const &	GetEvalFileName () const

std::string const &	GetWeightsOutDir () const

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

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
	PndMultiClassMlpTrain (PndMultiClassMlpTrain const &oth)

PndMultiClassMlpTrain &	operator= (PndMultiClassMlpTrain const &oth)

void	InitMlp ()

void	AddVariables ()

Private Attributes
TMVA::Factory *	m_factory

TFile *	EvalFile

std::string	m_JName

std::string	m_transform

std::string	m_MlpOptions

std::string	m_evalFileName

std::string	m_weightDirName

bool	m_Evaluate

Detailed Description

Definition at line 29 of file PndMultiClassMlpTrain.h.

Constructor & Destructor Documentation

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

explicit

Constructor.

Parameters

InPut	The file containig the event data.
ClassNames	Labels of the classes to be used.
VarNames	The name of the involved variables(features).
trim	If the data set needs to be trimmed.

virtual PndMultiClassMlpTrain::~PndMultiClassMlpTrain ( )

virtual

Destructor.

PndMultiClassMlpTrain::PndMultiClassMlpTrain ( PndMultiClassMlpTrain const & oth )

private

Member Function Documentation

void PndMultiClassMlpTrain::AddVariables ( )

private

virtual void PndMvaTrainer::EvalClassifierError ( )

virtualinherited

Classifier evaluation.

Reimplemented in PndLVQTrain.

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

inlineinherited

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 PndMvaTrainer::m_dataSets.

 {
   return m_dataSets.GetClasses();
 };

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

inlineinherited

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 PndMvaTrainer::m_StepErro.

 {
   return m_StepErro;
 };

std::string const & PndMultiClassMlpTrain::GetEvalFileName ( ) const

inline

Definition at line 165 of file PndMultiClassMlpTrain.h.

References m_evalFileName.

 {
   return m_evalFileName;
 };

std::string const & PndMultiClassMlpTrain::GetJobName ( ) const

inline

Definition at line 145 of file PndMultiClassMlpTrain.h.

References m_JName.

 {
   return m_JName;
 };

std::string const & PndMultiClassMlpTrain::GetMlpOptions ( ) const

inline

Definition at line 155 of file PndMultiClassMlpTrain.h.

References m_MlpOptions.

 {
   return m_MlpOptions;
 };

size_t PndMvaTrainer::GetRndSeed ( ) const

inlineinherited

Definition at line 200 of file PndMvaTrainer.h.

References PndMvaTrainer::m_RND_seed.

 {
   return this->m_RND_seed;
 };

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

inlineinherited

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 PndMvaTrainer::m_testSet_indices.

 {
   return m_testSet_indices;
 };

std::string const & PndMultiClassMlpTrain::GetTransformation ( ) const

inline

Definition at line 150 of file PndMultiClassMlpTrain.h.

References m_transform.

 {
   return m_transform;
 };

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

inlineinherited

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 PndMvaTrainer::m_dataSets.

 {
   return m_dataSets.GetVars();
 };

std::string const & PndMultiClassMlpTrain::GetWeightsOutDir ( ) const

inline

Definition at line 175 of file PndMultiClassMlpTrain.h.

References m_weightDirName.

 {
   return m_weightDirName;
 };

void PndMultiClassMlpTrain::Initialize ( )

virtual

Initialize Classifier and data structures.

Reimplemented from PndMvaTrainer.

void PndMultiClassMlpTrain::InitMlp ( )

private

void PndMvaTrainer::NormalizeData ( NormType t = NONORM )

inherited

Select input data normalization scheme.

PndMultiClassMlpTrain& PndMultiClassMlpTrain::operator= ( PndMultiClassMlpTrain const & oth )

private

void PndMvaTrainer::PCATransForm ( )

inherited

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

void PndMvaTrainer::SetAppType ( AppType t )

inlineprotectedinherited

Set application type for the current object

Definition at line 215 of file PndMvaTrainer.h.

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

 {
   m_dataSets.SetAppType(t);
 };

void PndMultiClassMlpTrain::SetEvalFileName ( std::string const & fname )

inline

Definition at line 160 of file PndMultiClassMlpTrain.h.

References m_evalFileName.

 {
   this->m_evalFileName = fname;
 };

void PndMultiClassMlpTrain::SetEvaluation ( bool evaluate )

inline

Definition at line 180 of file PndMultiClassMlpTrain.h.

References m_Evaluate.

 {
   this->m_Evaluate = evaluate;
 };

void PndMultiClassMlpTrain::SetJobName ( std::string const & name )

inline

Definition at line 130 of file PndMultiClassMlpTrain.h.

References m_JName, and name.

 {
   this->m_JName = name;
 };

void PndMultiClassMlpTrain::SetMlpOptions ( std::string const & opts )

inline

Definition at line 140 of file PndMultiClassMlpTrain.h.

References m_MlpOptions.

 {
   this->m_MlpOptions = opt;
 };

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

inlineinherited

Setter to set the weightfile name.

Parameters

outFile Output filename.

Definition at line 210 of file PndMvaTrainer.h.

References PndMvaTrainer::m_outFile, and outFile.

 {
   m_outFile = outFile;
 };

void PndMvaTrainer::SetRndSeed ( size_t const sd )

inlineinherited

Definition at line 205 of file PndMvaTrainer.h.

References PndMvaTrainer::m_RND_seed.

 {
   this->m_RND_seed = sd;
 };

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

inherited

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 )

inherited

Creates test and train data sets.

Parameters

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

void PndMultiClassMlpTrain::SetTransformation ( std::string const & tran )

inline

Definition at line 135 of file PndMultiClassMlpTrain.h.

References m_transform, and tr.

 {
   this->m_transform = tr;
 };

void PndMultiClassMlpTrain::SetWeightsOutDir ( std::string const & dirName )

inline

Definition at line 170 of file PndMultiClassMlpTrain.h.

References m_weightDirName.

 {
   this->m_weightDirName = dirName;
 };

void PndMvaTrainer::splitTetsSet ( )

protectedinherited

void PndMultiClassMlpTrain::storeWeights ( )

virtual

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

Implements PndMvaTrainer.

void PndMultiClassMlpTrain::Train ( )

virtual

Train the classifier.

Implements PndMvaTrainer.

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

inherited

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

protectedinherited

Write the training and normalization data to outFile.

Member Data Documentation

TFile* PndMultiClassMlpTrain::EvalFile

private

Definition at line 120 of file PndMultiClassMlpTrain.h.

PndMvaDataSet PndMvaTrainer::m_dataSets

protectedinherited

Data set. Holds event values.

Definition at line 175 of file PndMvaTrainer.h.

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

std::string PndMultiClassMlpTrain::m_evalFileName

private

Definition at line 124 of file PndMultiClassMlpTrain.h.

Referenced by GetEvalFileName(), and SetEvalFileName().

bool PndMultiClassMlpTrain::m_Evaluate

private

Definition at line 126 of file PndMultiClassMlpTrain.h.

Referenced by SetEvaluation().

TMVA::Factory* PndMultiClassMlpTrain::m_factory

private

Definition at line 119 of file PndMultiClassMlpTrain.h.

std::string PndMultiClassMlpTrain::m_JName

private

Definition at line 121 of file PndMultiClassMlpTrain.h.

Referenced by GetJobName(), and SetJobName().

std::string PndMultiClassMlpTrain::m_MlpOptions

private

Definition at line 123 of file PndMultiClassMlpTrain.h.

Referenced by GetMlpOptions(), and SetMlpOptions().

std::string PndMvaTrainer::m_outFile

protectedinherited

Output filename.

Definition at line 181 of file PndMvaTrainer.h.

Referenced by PndMvaTrainer::SetOutPutFile().

size_t PndMvaTrainer::m_RND_seed

protectedinherited

Random seed.

Definition at line 184 of file PndMvaTrainer.h.

Referenced by PndMvaTrainer::GetRndSeed(), and PndMvaTrainer::SetRndSeed().

std::vector<StepError> PndMvaTrainer::m_StepErro

protectedinherited

Container to keep per step error values.

Definition at line 178 of file PndMvaTrainer.h.

Referenced by PndMvaTrainer::GetErrorValues().

std::set<size_t> PndMvaTrainer::m_testSet_indices

protectedinherited

Indices of the test set.

Definition at line 172 of file PndMvaTrainer.h.

Referenced by PndMvaTrainer::GetTestEvetIdx().

std::string PndMultiClassMlpTrain::m_transform

private

Definition at line 122 of file PndMultiClassMlpTrain.h.

Referenced by GetTransformation(), and SetTransformation().

std::string PndMultiClassMlpTrain::m_weightDirName

private

Definition at line 125 of file PndMultiClassMlpTrain.h.

Referenced by GetWeightsOutDir(), and SetWeightsOutDir().

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

PndMultiClassMlpTrain.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