Inheritance diagram for PndKnnTrain:

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

virtual	~PndKnnTrain ()

void	Train ()

void	storeWeights ()

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

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)

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 15 of file PndKnnTrain.h.

Constructor & Destructor Documentation

explicit

Constructor.

Parameters

InputFile	Example event input File name.
ClassNames	Class names for wich the classifier is trained.
VarNames	Variable names creating the feature vector.

virtual PndKnnTrain::~PndKnnTrain ( )

virtual

Class destructor.

void PndKnnTrain::storeWeights ( )

virtual

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

void PndKnnTrain::Train ( )

virtual

Train the classifier.

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