Definition at line 208 of file DataSetFactory.h.

Classes
class	EventStats

Public Member Functions
DataSet *	CreateDataSet (DataSetInfo &, DataInputHandler &)
	steering the creation of a new dataset More...

Static Public Member Functions
static DataSetFactory &	Instance ()

static void	destroyInstance ()

static DataSetFactory *	NewInstance ()

static void	destroyNewInstance (DataSetFactory *iOther)

Protected Member Functions
	~DataSetFactory ()
	destructor More...

	DataSetFactory ()
	constructor More...

DataSet *	BuildInitialDataSet (DataSetInfo &, TMVA::DataInputHandler &)
	if no entries, than create a DataSet with one Event which uses dynamic variables (pointers to variables) More...

DataSet *	BuildDynamicDataSet (DataSetInfo &)

void	BuildEventVector (DataSetInfo &dsi, DataInputHandler &dataInput, EventVectorOfClassesOfTreeType &eventsmap, EvtStatsPerClass &eventCounts)
	build empty event vectors distributes events between kTraining/kTesting/kMaxTreeType More...

DataSet *	MixEvents (DataSetInfo &dsi, EventVectorOfClassesOfTreeType &eventsmap, EvtStatsPerClass &eventCounts, const TString &splitMode, const TString &mixMode, const TString &normMode, UInt_t splitSeed)
	Select and distribute unassigned events to kTraining and kTesting Bool_t emptyUndefined = kTRUE;. More...

void	RenormEvents (DataSetInfo &dsi, EventVectorOfClassesOfTreeType &eventsmap, const EvtStatsPerClass &eventCounts, const TString &normMode)
	renormalisation of the TRAINING event weights -none (kind of obvious) . More...

void	InitOptions (DataSetInfo &dsi, EvtStatsPerClass &eventsmap, TString &normMode, UInt_t &splitSeed, TString &splitMode, TString &mixMode)
	the dataset splitting More...

TMatrixD *	CalcCorrelationMatrix (DataSet *, const UInt_t classNumber)
	computes correlation matrix for variables "theVars" in tree; "theType" defines the required event "type" ("type" variable must be present in tree) More...

TMatrixD *	CalcCovarianceMatrix (DataSet *, const UInt_t classNumber)
	compute covariance matrix More...

void	CalcMinMax (DataSet *, DataSetInfo &dsi)
	compute covariance matrix More...

void	ResetBranchAndEventAddresses (TTree *)

void	ResetCurrentTree ()

void	ChangeToNewTree (TreeInfo &, const DataSetInfo &)
	While the data gets copied into the local training and testing trees, the input tree can change (for intance when changing from signal to background tree, or using TChains as input) The TTreeFormulas, that hold the input expressions need to be reassociated with the new tree, which is done here. More...

Bool_t	CheckTTreeFormula (TTreeFormula *ttf, const TString &expression, Bool_t &hasDollar)
	checks a TTreeFormula for problems More...

Bool_t	Verbose ()

MsgLogger &	Log () const
	message logger More...

Protected Attributes
Bool_t	fVerbose

TString	fVerboseLevel
	Verbosity. More...

Bool_t	fScaleWithPreselEff
	VerboseLevel. More...

TTree *	fCurrentTree
	how to deal with requested #events in connection with preselection cuts More...

UInt_t	fCurrentEvtIdx
	the tree, events are currently read from More...

std::vector< TTreeFormula * >	fInputFormulas
	the current event (to avoid reading of the same event) More...

std::vector< TTreeFormula * >	fTargetFormulas
	input variables More...

std::vector< TTreeFormula * >	fCutFormulas
	targets More...

std::vector< TTreeFormula * >	fWeightFormula
	cuts More...

std::vector< TTreeFormula * >	fSpectatorFormulas
	weights More...

MsgLogger *	fLogger
	spectators More...

Static Protected Attributes
static DataSetFactory *	fgInstance = 0

Private Types
typedef std::vector< Event * >	EventVector

typedef std::vector< EventVector >	EventVectorOfClasses

typedef std::map < Types::ETreeType, EventVectorOfClasses >	EventVectorOfClassesOfTreeType

typedef std::map < Types::ETreeType, EventVector >	EventVectorOfTreeType

typedef std::vector< Double_t >	ValuePerClass

typedef std::map < Types::ETreeType, ValuePerClass >	ValuePerClassOfTreeType

typedef std::vector< int >	NumberPerClass

typedef std::vector< EventStats >	EvtStatsPerClass

#include <TMVA/DataSetFactory.h>

Member Typedef Documentation

typedef std::vector<Event* > TMVA::DataSetFactory::EventVector

private

Definition at line 210 of file DataSetFactory.h.

typedef std::vector< EventVector > TMVA::DataSetFactory::EventVectorOfClasses

private

Definition at line 211 of file DataSetFactory.h.

typedef std::map<Types::ETreeType, EventVectorOfClasses > TMVA::DataSetFactory::EventVectorOfClassesOfTreeType

private

Definition at line 212 of file DataSetFactory.h.

typedef std::map<Types::ETreeType, EventVector > TMVA::DataSetFactory::EventVectorOfTreeType

private

Definition at line 213 of file DataSetFactory.h.

typedef std::vector< EventStats > TMVA::DataSetFactory::EvtStatsPerClass

private

Definition at line 245 of file DataSetFactory.h.

typedef std::vector< int > TMVA::DataSetFactory::NumberPerClass

private

Definition at line 244 of file DataSetFactory.h.

typedef std::vector< Double_t > TMVA::DataSetFactory::ValuePerClass

private

Definition at line 215 of file DataSetFactory.h.

typedef std::map<Types::ETreeType, ValuePerClass > TMVA::DataSetFactory::ValuePerClassOfTreeType

private

Definition at line 216 of file DataSetFactory.h.

Constructor & Destructor Documentation

TMVA::DataSetFactory::~DataSetFactory ( )

protected

destructor

Definition at line 117 of file DataSetFactory.cxx.

TMVA::DataSetFactory::DataSetFactory ( )

protected

constructor

Definition at line 103 of file DataSetFactory.cxx.

Referenced by Instance(), and NewInstance().

Member Function Documentation

TMVA::DataSet * TMVA::DataSetFactory::BuildDynamicDataSet ( TMVA::DataSetInfo & dsi )

protected

Definition at line 156 of file DataSetFactory.cxx.

void TMVA::DataSetFactory::BuildEventVector	(	TMVA::DataSetInfo &	dsi,
		TMVA::DataInputHandler &	dataInput,
		EventVectorOfClassesOfTreeType &	eventsmap,
		EvtStatsPerClass &	eventCounts
	)

protected

build empty event vectors distributes events between kTraining/kTesting/kMaxTreeType

Definition at line 684 of file DataSetFactory.cxx.

TMVA::DataSet * TMVA::DataSetFactory::BuildInitialDataSet	(	DataSetInfo &	dsi,
		TMVA::DataInputHandler &	dataInput
	)

protected

if no entries, than create a DataSet with one Event which uses dynamic variables (pointers to variables)

Definition at line 203 of file DataSetFactory.cxx.

TMatrixD * TMVA::DataSetFactory::CalcCorrelationMatrix	(	DataSet *	ds,
		const UInt_t	classNumber
	)

protected

computes correlation matrix for variables "theVars" in tree; "theType" defines the required event "type" ("type" variable must be present in tree)

Definition at line 511 of file DataSetFactory.cxx.

TMatrixD * TMVA::DataSetFactory::CalcCovarianceMatrix	(	DataSet *	ds,
		const UInt_t	classNumber
	)

protected

compute covariance matrix

Definition at line 542 of file DataSetFactory.cxx.

void TMVA::DataSetFactory::CalcMinMax	(	DataSet *	ds,
		TMVA::DataSetInfo &	dsi
	)

protected

compute covariance matrix

Definition at line 442 of file DataSetFactory.cxx.

void TMVA::DataSetFactory::ChangeToNewTree	(	TreeInfo &	tinfo,
		const DataSetInfo &	dsi
	)

protected

While the data gets copied into the local training and testing trees, the input tree can change (for intance when changing from signal to background tree, or using TChains as input) The TTreeFormulas, that hold the input expressions need to be reassociated with the new tree, which is done here.

Definition at line 294 of file DataSetFactory.cxx.

Bool_t TMVA::DataSetFactory::CheckTTreeFormula	(	TTreeFormula *	ttf,
		const TString &	expression,
		Bool_t &	hasDollar
	)

protected

checks a TTreeFormula for problems

Definition at line 252 of file DataSetFactory.cxx.

TMVA::DataSet * TMVA::DataSetFactory::CreateDataSet	(	TMVA::DataSetInfo &	dsi,
		TMVA::DataInputHandler &	dataInput
	)

steering the creation of a new dataset

Definition at line 133 of file DataSetFactory.cxx.

static void TMVA::DataSetFactory::destroyInstance ( )

inlinestatic

Definition at line 253 of file DataSetFactory.h.

static void TMVA::DataSetFactory::destroyNewInstance ( DataSetFactory * iOther )

inlinestatic

Definition at line 258 of file DataSetFactory.h.

Referenced by TMVA::DataSetManager::~DataSetManager().

void TMVA::DataSetFactory::InitOptions	(	TMVA::DataSetInfo &	dsi,
		EvtStatsPerClass &	eventsmap,
		TString &	normMode,
		UInt_t &	splitSeed,
		TString &	splitMode,
		TString &	mixMode
	)

protected

the dataset splitting

Definition at line 601 of file DataSetFactory.cxx.

static DataSetFactory& TMVA::DataSetFactory::Instance ( )

inlinestatic

Definition at line 252 of file DataSetFactory.h.

MsgLogger& TMVA::DataSetFactory::Log ( ) const

inlineprotected

message logger

Definition at line 330 of file DataSetFactory.h.

TMVA::DataSet * TMVA::DataSetFactory::MixEvents	(	DataSetInfo &	dsi,
		EventVectorOfClassesOfTreeType &	eventsmap,
		EvtStatsPerClass &	eventCounts,
		const TString &	splitMode,
		const TString &	mixMode,
		const TString &	normMode,
		UInt_t	splitSeed
	)

protected

Select and distribute unassigned events to kTraining and kTesting Bool_t emptyUndefined = kTRUE;.

Definition at line 951 of file DataSetFactory.cxx.

static DataSetFactory* TMVA::DataSetFactory::NewInstance ( )

inlinestatic

Definition at line 257 of file DataSetFactory.h.

Referenced by TMVA::DataSetManager::CreateDataSet().

void TMVA::DataSetFactory::RenormEvents	(	TMVA::DataSetInfo &	dsi,
		EventVectorOfClassesOfTreeType &	tmpEventVector,
		const EvtStatsPerClass &	eventCounts,
		const TString &	normMode
	)

protected

renormalisation of the TRAINING event weights -none (kind of obvious) .

. use the weights as supplied by the user.. (we store however the relative weight for later use) -numEvents -equalNumEvents reweight the training events such that the sum of all

backgr. (class > 0) weights equal that of the signal (class 0)

Definition at line 1392 of file DataSetFactory.cxx.

Referenced by MixEvents().

void TMVA::DataSetFactory::ResetBranchAndEventAddresses ( TTree * )

protected

void TMVA::DataSetFactory::ResetCurrentTree ( )

inlineprotected

Definition at line 303 of file DataSetFactory.h.

Bool_t TMVA::DataSetFactory::Verbose ( )

inlineprotected

Definition at line 308 of file DataSetFactory.h.

Member Data Documentation

UInt_t TMVA::DataSetFactory::fCurrentEvtIdx

protected

the tree, events are currently read from

Definition at line 320 of file DataSetFactory.h.

TTree* TMVA::DataSetFactory::fCurrentTree

protected

how to deal with requested #events in connection with preselection cuts

Definition at line 319 of file DataSetFactory.h.

Referenced by ResetCurrentTree().

std::vector<TTreeFormula*> TMVA::DataSetFactory::fCutFormulas

protected

targets

Definition at line 325 of file DataSetFactory.h.

TMVA::DataSetFactory * TMVA::DataSetFactory::fgInstance = 0

staticprotected

Definition at line 264 of file DataSetFactory.h.

Referenced by destroyInstance(), and Instance().

std::vector<TTreeFormula*> TMVA::DataSetFactory::fInputFormulas

protected

the current event (to avoid reading of the same event)

Definition at line 323 of file DataSetFactory.h.

MsgLogger* TMVA::DataSetFactory::fLogger

protected

spectators

Definition at line 329 of file DataSetFactory.h.

Referenced by Log().

Bool_t TMVA::DataSetFactory::fScaleWithPreselEff

protected

VerboseLevel.

Definition at line 316 of file DataSetFactory.h.

std::vector<TTreeFormula*> TMVA::DataSetFactory::fSpectatorFormulas

protected

weights

Definition at line 327 of file DataSetFactory.h.

std::vector<TTreeFormula*> TMVA::DataSetFactory::fTargetFormulas

protected

input variables

Definition at line 324 of file DataSetFactory.h.

Bool_t TMVA::DataSetFactory::fVerbose

protected

Definition at line 313 of file DataSetFactory.h.

Referenced by Verbose().

TString TMVA::DataSetFactory::fVerboseLevel

protected

Verbosity.

Definition at line 314 of file DataSetFactory.h.

std::vector<TTreeFormula*> TMVA::DataSetFactory::fWeightFormula

protected

cuts

Definition at line 326 of file DataSetFactory.h.

Collaboration diagram for TMVA::DataSetFactory:

[legend]

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

tmva/tmva/inc/TMVA/DataSetFactory.h
tmva/tmva/src/DataSetFactory.cxx

Classes

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Static Protected Attributes

Private Types

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

backgr. (class > 0) weights equal that of the signal (class 0)

Member Data Documentation