PndMultiClassMlpTrain Class Reference

#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
Public Member Functions inherited from 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)
	PndMvaTrainer (std::string const &InPut, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames, bool trim=true)
virtual	~PndMvaTrainer ()
	Destructor. More...
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)

Additional Inherited Members
Protected Member Functions inherited from PndMvaTrainer
void	SetAppType (AppType t)
void	WriteToWeightFile (std::vector< std::pair< std::string, std::vector< float > *>> const &weights) const
void	splitTetsSet ()
Protected Attributes inherited from PndMvaTrainer
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...

Detailed Description

Definition at line 29 of file PndMultiClassMlpTrain.h.

Constructor & Destructor Documentation

PndMultiClassMlpTrain()

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.

~PndMultiClassMlpTrain()

virtual PndMultiClassMlpTrain::~PndMultiClassMlpTrain ( )

virtual

Destructor.

Member Function Documentation

GetEvalFileName()

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

inline

Definition at line 161 of file PndMultiClassMlpTrain.h.

{
  return m_evalFileName;
};

GetJobName()

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

inline

Definition at line 141 of file PndMultiClassMlpTrain.h.

{
  return m_JName;
};

GetMlpOptions()

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

inline

Definition at line 151 of file PndMultiClassMlpTrain.h.

{
  return m_MlpOptions;
};

GetTransformation()

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

inline

Definition at line 146 of file PndMultiClassMlpTrain.h.

{
  return m_transform;
};

GetWeightsOutDir()

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

inline

Definition at line 171 of file PndMultiClassMlpTrain.h.

{
  return m_weightDirName;
};

Initialize()

void PndMultiClassMlpTrain::Initialize ( )

virtual

Initialize Classifier and data structures.

Reimplemented from PndMvaTrainer.

SetEvalFileName()

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

inline

Definition at line 156 of file PndMultiClassMlpTrain.h.

{
  this->m_evalFileName = fname;
};

SetEvaluation()

void PndMultiClassMlpTrain::SetEvaluation ( bool  evaluate )

inline

Definition at line 176 of file PndMultiClassMlpTrain.h.

{
  this->m_Evaluate = evaluate;
};

SetJobName()

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

inline

Definition at line 126 of file PndMultiClassMlpTrain.h.

{
  this->m_JName = name;
};

SetMlpOptions()

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

inline

Definition at line 136 of file PndMultiClassMlpTrain.h.

{
  this->m_MlpOptions = opt;
};

SetTransformation()

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

inline

Definition at line 131 of file PndMultiClassMlpTrain.h.

{
  this->m_transform = tr;
};

SetWeightsOutDir()

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

inline

Definition at line 166 of file PndMultiClassMlpTrain.h.

{
  this->m_weightDirName = dirName;
};

storeWeights()

void PndMultiClassMlpTrain::storeWeights ( )

virtual

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

Implements PndMvaTrainer.

Train()

void PndMultiClassMlpTrain::Train ( )

virtual

Train the classifier.

Implements PndMvaTrainer.

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

• PndMultiClassMlpTrain.h