#include <PndMvaDataSet.h>

Public Member Functions
	PndMvaDataSet (std::vector< std::pair< std::string, std::vector< float > * > > const &InputEvtsParam, std::vector< std::string > const &classNames, std::vector< std::string > const &varNames, AppType type)

	PndMvaDataSet (std::string const &WeightFile, std::vector< std::string > const &classNames, std::vector< std::string > const &varNames, AppType type)

virtual	~PndMvaDataSet ()
	Destructor. More...

virtual void	WriteDataSet (std::string const &outFile)

virtual void	InitClsCondMeans (std::set< size_t > const &excludeIndxs)

void	SetTrim (bool t)

std::vector< std::pair < std::string, std::vector < float > * > > const &	GetData () const
	Get available data vectors. More...

std::vector< PndMvaClass > const &	GetClasses () const
	Get the list of available classes (labels). More...

std::vector< PndMvaVariable > const &	GetVars () const
	Get the list of available variables. More...

std::map< std::string, std::vector< float > * > const &	GetClassCondMeans () const
	Get classconditional means for all classes (labels). More...

std::string const &	GetInFileName () const
	Get name of input file name (weight/event file). More...

virtual void	PCATransForm ()

bool	Used_PCA () const

void	Use_PCA (bool t)

PndMvaVarPCATransform const &	Get_PCA () const

NormType	GetNormType () const

void	SetNormType (NormType t)

AppType	GetAppType () const

void	SetAppType (AppType t)

virtual void	Initialize ()

size_t	GetRndSeed () const

void	SetRndSeed (size_t const sd)

Protected Member Functions
void	ReadInput ()

void	ReadWeightsFromFile ()

Private Member Functions
	PndMvaDataSet (PndMvaDataSet const &other)

PndMvaDataSet &	operator= (PndMvaDataSet const &other)

void	Trim ()

void	NormalizeDataSet ()

void	InitClasses (std::vector< std::string > const &labels)

void	InitVariables (std::vector< std::string > const &variables)

void	ValidateWeightFile ()

void	CompClsCondMean (std::string const &clsName, std::set< size_t > const &exCluds)

void	ComputeVariance ()

void	DetermineMedian ()

void	MinMaxDiff ()

void	FindMinMax ()

void	VarNormalize ()

Private Attributes
std::string	m_input
	Input File name. More...

std::vector< PndMvaClass >	m_classes
	Classes. More...

std::vector< PndMvaVariable >	m_vars
	Variables. More...

std::vector< std::pair < std::string, std::vector < float > * > >	m_events
	Container to keep the Event data feature vectors. More...

std::map< std::string, std::vector< float > * >	m_ClassCondMeans
	Container to keep the Class Conditional means. More...

PndMvaVarPCATransform	m_PCA

bool	m_UsePCA

NormType	m_NormType

AppType	m_AppType

bool	m_trim

size_t	m_RND_seed

Detailed Description

Definition at line 88 of file PndMvaDataSet.h.

Constructor & Destructor Documentation

PndMvaDataSet::PndMvaDataSet	(	std::vector< std::pair< std::string, std::vector< float > * > > const &	InputEvtsParam,
		std::vector< std::string > const &	classNames,
		std::vector< std::string > const &	varNames,
		AppType	type
	)

explicit

Constructor.

Parameters

InputEvtsParam	Input event data (attributes).
classNames	Names of available Labels (classes).
varNames	Available variable names.
type	Application Type.

Note: The data from "InputEvtsParam" is copied into the internal container. Use with caution in case of large data sets.

PndMvaDataSet::PndMvaDataSet	(	std::string const &	WeightFile,
		std::vector< std::string > const &	classNames,
		std::vector< std::string > const &	varNames,
		AppType	type
	)

explicit

Constructor.

Parameters

inputFilename	Input File name.
classNames	Names of available Labels (classes).
varNames	Available variable names.
type	Application Type.

virtual PndMvaDataSet::~PndMvaDataSet ( )

virtual

Destructor.

PndMvaDataSet::PndMvaDataSet ( PndMvaDataSet const & other )

private

Member Function Documentation

void PndMvaDataSet::CompClsCondMean	(	std::string const &	clsName,
		std::set< size_t > const &	exCluds
	)

private

Class conditional mean for a given label (class). Stored in class conditional means container.

Parameters

clsName	Label for which CCM is computed.
exCluds	Set of indices of events that are not to be used.

void PndMvaDataSet::ComputeVariance ( )

private

Computes Variance (unbiased estimator) for each parameter in the feature list.

void PndMvaDataSet::DetermineMedian ( )

private

Determines the median for parameters of the loaded DataSet.

void PndMvaDataSet::FindMinMax ( )

private

Find minimum and maximum per variable.

PndMvaVarPCATransform const & PndMvaDataSet::Get_PCA ( ) const

inline

Get PCA object

Returns: PCA object containing PCA parameters.

Definition at line 369 of file PndMvaDataSet.h.

References m_PCA.

 {
   return m_PCA;
 };

AppType PndMvaDataSet::GetAppType ( ) const

inline

Returns: Application type.

Definition at line 381 of file PndMvaDataSet.h.

References m_AppType.

 {
   return m_AppType;
 };

std::map< std::string, std::vector< float > * > const & PndMvaDataSet::GetClassCondMeans ( ) const

inline

Get classconditional means for all classes (labels).

Definition at line 351 of file PndMvaDataSet.h.

References m_ClassCondMeans.

 {
   return m_ClassCondMeans;
 };

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

inline

Get the list of available classes (labels).

Definition at line 341 of file PndMvaDataSet.h.

References m_classes.

Referenced by PndMvaClassifier::GetClasses(), and PndMvaTrainer::GetClasses().

 {
   return m_classes;
 };

std::vector< std::pair< std::string, std::vector< float > * > > const & PndMvaDataSet::GetData ( ) const

inline

Get available data vectors.

Definition at line 335 of file PndMvaDataSet.h.

References m_events.

 {
   assert(m_events.size() !=  0);
   return m_events;
 };

std::string const & PndMvaDataSet::GetInFileName ( ) const

inline

Get name of input file name (weight/event file).

Definition at line 356 of file PndMvaDataSet.h.

References m_input.

 {
   return m_input;
 };

NormType PndMvaDataSet::GetNormType ( ) const

inline

Normalization type.

Definition at line 373 of file PndMvaDataSet.h.

References m_NormType.

 {
   return m_NormType;
 };

size_t PndMvaDataSet::GetRndSeed ( ) const

inline

Definition at line 325 of file PndMvaDataSet.h.

References m_RND_seed.

 {
   return this->m_RND_seed;
 };

std::vector< PndMvaVariable > const & PndMvaDataSet::GetVars ( ) const

inline

Get the list of available variables.

Definition at line 346 of file PndMvaDataSet.h.

References m_vars.

Referenced by PndMvaClassifier::GetVariables(), and PndMvaTrainer::GetVariables().

 {
   return m_vars;
 };

void PndMvaDataSet::InitClasses ( std::vector< std::string > const & labels )

private

Init labels (class names).

Parameters

labels The list of labels to use.

virtual void PndMvaDataSet::InitClsCondMeans ( std::set< size_t > const & excludeIndxs )

virtual

Initialize the class conditional means vectors and modifies the attributes of the available labels for this data set (PndMvaClass::NTrainEx); these are the events that are not to be excluded. These events are specified by the exclude indices set.

Parameters

excludeIndxs The set of event indices to exclude during the computation.

virtual void PndMvaDataSet::Initialize ( )

virtual

Init Dataset. Determine how to handle input, based on the application type.

void PndMvaDataSet::InitVariables ( std::vector< std::string > const & variables )

private

Init Variables.

Parameters

variables The list of variables to use.

void PndMvaDataSet::MinMaxDiff ( )

private

Determine Min Max difference.

void PndMvaDataSet::NormalizeDataSet ( )

private

Normalize event dataset using one of available methods.

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

private

virtual void PndMvaDataSet::PCATransForm ( )

virtual

Parameter decorrelation.

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

void PndMvaDataSet::ReadInput ( )

protected

Read input event data.

void PndMvaDataSet::ReadWeightsFromFile ( )

protected

Read Weights and parameters from file.

void PndMvaDataSet::SetAppType ( AppType t )

inline

Parameters

t	Application type.

Definition at line 385 of file PndMvaDataSet.h.

References m_AppType, and t.

Referenced by PndMvaClassifier::SetAppType(), and PndMvaTrainer::SetAppType().

 {
   m_AppType = t;
 };

void PndMvaDataSet::SetNormType ( NormType t )

inline

Parameters

t	Normalization type (VARX, MINMAX, MEDIAN).

Definition at line 377 of file PndMvaDataSet.h.

References m_NormType, and t.

 {
   m_NormType = t;
 };

void PndMvaDataSet::SetRndSeed ( size_t const sd )

inline

Definition at line 330 of file PndMvaDataSet.h.

References m_RND_seed.

 {
   this->m_RND_seed = sd;
 };

void PndMvaDataSet::SetTrim ( bool t )

inline

If trimming is needed.

Parameters

t If trim.

Definition at line 389 of file PndMvaDataSet.h.

References m_trim, and t.

 {
   m_trim = t;
 };

void PndMvaDataSet::Trim ( )

private

Creates a data set with equal number of events for each class.

void PndMvaDataSet::Use_PCA ( bool t )

inline

Parameters

t	If apply PCA.

Definition at line 365 of file PndMvaDataSet.h.

References m_UsePCA, and t.

 {
   m_UsePCA = t;
 };

bool PndMvaDataSet::Used_PCA ( ) const

inline

Returns: If PCA was applied.

Definition at line 361 of file PndMvaDataSet.h.

References m_UsePCA.

 {
   return m_UsePCA;
 };

void PndMvaDataSet::ValidateWeightFile ( )

private

void PndMvaDataSet::VarNormalize ( )

private

VariableNormalizeTransform. Linear interpolation.

virtual void PndMvaDataSet::WriteDataSet ( std::string const & outFile )

virtual

Write the normalized DataSet to the out-put file.

Parameters

outFile File name to write to

Member Data Documentation

AppType PndMvaDataSet::m_AppType

private

Definition at line 317 of file PndMvaDataSet.h.

Referenced by GetAppType(), and SetAppType().

std::map< std::string, std::vector<float>* > PndMvaDataSet::m_ClassCondMeans

private

Container to keep the Class Conditional means.

Definition at line 305 of file PndMvaDataSet.h.

Referenced by GetClassCondMeans().

std::vector<PndMvaClass> PndMvaDataSet::m_classes

private

Classes.

Definition at line 296 of file PndMvaDataSet.h.

Referenced by GetClasses().

std::vector< std::pair<std::string, std::vector<float>*> > PndMvaDataSet::m_events

private

Container to keep the Event data feature vectors.

Definition at line 302 of file PndMvaDataSet.h.

Referenced by GetData().

std::string PndMvaDataSet::m_input

private

Input File name.

Definition at line 293 of file PndMvaDataSet.h.

Referenced by GetInFileName().

NormType PndMvaDataSet::m_NormType

private

Definition at line 314 of file PndMvaDataSet.h.

Referenced by GetNormType(), and SetNormType().

PndMvaVarPCATransform PndMvaDataSet::m_PCA

private

Definition at line 308 of file PndMvaDataSet.h.

Referenced by Get_PCA().

size_t PndMvaDataSet::m_RND_seed

private

Definition at line 319 of file PndMvaDataSet.h.

Referenced by GetRndSeed(), and SetRndSeed().

bool PndMvaDataSet::m_trim

private

Definition at line 318 of file PndMvaDataSet.h.

Referenced by SetTrim().

bool PndMvaDataSet::m_UsePCA

private

Definition at line 311 of file PndMvaDataSet.h.

Referenced by Use_PCA(), and Used_PCA().

std::vector<PndMvaVariable> PndMvaDataSet::m_vars

private

Variables.

Definition at line 299 of file PndMvaDataSet.h.

Referenced by GetVars().

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

PndMvaDataSet.h

Public Member Functions

Protected Member Functions

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation