Abstract ClassifierFactory template that handles arbitrary types. More...

Namespaces
	DNN

	kNN

	TMVAGlob

Classes
class	AbsoluteDeviationLossFunction

class	AbsoluteDeviationLossFunctionBDT

class	AbsValue

class	BDTEventWrapper

class	BinarySearchTree

class	BinarySearchTreeNode

class	BinaryTree

class	CCPruner

class	CCTreeWrapper

class	ClassifierFactory

class	ClassInfo

class	compose_binary_t

class	compose_unary_t

class	Config

class	Configurable

class	ConvergenceTest

class	CostComplexityPruneTool

class	CrossEntropy

class	CrossValidation

class	CrossValidationResult

class	DataInputHandler

class	DataLoader

class	DataSet

class	DataSetFactory

class	DataSetInfo

class	DataSetManager

class	DecisionTree

class	DecisionTreeNode

struct	DeleteFunctor_t

class	DTNodeTrainingInfo

class	Envelope
	Base class for all machine learning algorithms. More...

class	Event

class	ExpectedErrorPruneTool

class	Factory

class	FitterBase

class	GeneticAlgorithm

class	GeneticFitter

class	GeneticGenes

class	GeneticPopulation

class	GeneticRange

class	GiniIndex

class	GiniIndexWithLaplace

class	HuberLossFunction

class	HuberLossFunctionBDT

class	HyperParameterOptimisation

class	HyperParameterOptimisationResult

class	IFitterTarget

class	IMethod

class	Increment

class	Interval

class	IPruneTool

class	IPythonInteractive
	This class is needed by JsMVA, and it's a helper class for tracking errors during the training in Jupyter notebook. More...

class	KDEKernel

class	LDA

class	LeastSquaresLossFunction

class	LeastSquaresLossFunctionBDT

class	LogInterval

class	LossFunction

class	LossFunctionBDT

class	LossFunctionEventInfo

class	MCFitter

class	MethodANNBase

class	MethodBase

class	MethodBayesClassifier

class	MethodBDT

class	MethodBoost

class	MethodC50

class	MethodCategory

class	MethodCFMlpANN

class	MethodCFMlpANN_Utils

class	MethodCompositeBase

class	MethodCuts

class	MethodDNN

class	MethodDT

class	MethodFDA

class	MethodFisher

class	MethodHMatrix

class	MethodInfo

class	MethodKNN

class	MethodLD

class	MethodLikelihood

class	MethodMLP

class	MethodPDEFoam

class	MethodPDERS

class	MethodPyAdaBoost

class	MethodPyGTB

class	MethodPyRandomForest

class	MethodRSNNS

class	MethodRSVM

class	MethodRuleFit

class	MethodRXGB

class	MethodSVM

class	MethodTMlpANN

class	MinuitFitter

class	MinuitWrapper

class	MisClassificationError

class	Monitoring

class	MsgLogger

class	Node

class	null_t

class	OptimizeConfigParameters

class	Option

class	Option< T * >

class	OptionBase

class	OptionMap
	class to storage options for the differents methods More...

class	PDEFoam

class	PDEFoamCell

class	PDEFoamDecisionTree

class	PDEFoamDecisionTreeDensity

class	PDEFoamDensityBase

class	PDEFoamDiscriminant

class	PDEFoamDiscriminantDensity

class	PDEFoamEvent

class	PDEFoamEventDensity

class	PDEFoamKernelBase

class	PDEFoamKernelGauss

class	PDEFoamKernelLinN

class	PDEFoamKernelTrivial

class	PDEFoamMultiTarget

class	PDEFoamTarget

class	PDEFoamTargetDensity

class	PDEFoamVect

class	PDF

class	PruningInfo

class	PyMethodBase

class	QuickMVAProbEstimator

class	RandomGenerator

class	Rank

class	Ranking

class	Reader

class	RegressionVariance

class	Results

class	ResultsClassification

class	ResultsMulticlass

class	ResultsRegression

class	RMethodBase

class	ROCCalc

class	ROCCurve

class	RootFinder

class	Rule

class	RuleCut

class	RuleEnsemble

class	RuleFit

class	RuleFitAPI

class	RuleFitParams

class	SdivSqrtSplusB

class	SeparationBase

class	SimulatedAnnealing

class	SimulatedAnnealingFitter

class	StatDialogBDT

class	StatDialogBDTReg

class	StatDialogMVAEffs

class	SVEvent

class	SVKernelFunction

class	SVKernelMatrix

class	SVWorkingSet

class	TActivation

class	TActivationChooser

class	TActivationIdentity

class	TActivationRadial

class	TActivationReLU

class	TActivationSigmoid

class	TActivationTanh

class	Timer

class	TMVAGaussPair

struct	TMVAGUI

class	TNeuron

class	TNeuronInput

class	TNeuronInputAbs

class	TNeuronInputChooser

class	TNeuronInputSqSum

class	TNeuronInputSum

class	Tools

class	TransformationHandler

class	TreeInfo

class	TSpline1

class	TSpline2

class	TSynapse

class	Types

class	VariableDecorrTransform

class	VariableGaussTransform

class	VariableIdentityTransform

class	VariableImportance

class	VariableImportanceResult

class	VariableInfo

class	VariableNormalizeTransform

class	VariablePCATransform

class	VariableRearrangeTransform

class	VariableTransformBase

class	VarTransformHandler

class	Volume

Typedefs
typedef UInt_t	TMVAVersion_t

Enumerations
enum	ECellValue { kValue, kValueError, kValueDensity, kMeanValue, kRms, kRmsOvMean, kCellVolume }

enum	EDTSeparation { kFoam, kGiniIndex, kMisClassificationError, kCrossEntropy, kGiniIndexWithLaplace, kSdivSqrtSplusB }

enum	EFoamType { kSeparate, kDiscr, kMonoTarget, kMultiTarget, kMultiClass }

enum	EMsgType { kDEBUG = 1, kVERBOSE = 2, kINFO = 3, kWARNING = 4, kERROR = 5, kFATAL = 6, kSILENT = 7, kHEADER = 8 }

enum	ETargetSelection { kMean = 0, kMpv = 1 }

enum	HistType { kMVAType = 0, kProbaType = 1, kRarityType = 2, kCompareType = 3 }

enum	VIType { kShort =0, kAll =1, kRandom =2 }

Functions
void	ActionButton (TControlBar *cbar, const TString &title, const TString &macro, const TString &comment, const TString &buttonType, TString requiredKey="")

void	annconvergencetest (TString dataset, TDirectory *lhdir)

void	annconvergencetest (TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)

void	BDT (TString dataset, const TString &fin="TMVA.root")

void	BDT (TString dataset, Int_t itree, TString wfile, TString methName="BDT", Bool_t useTMVAStyle=kTRUE)

void	BDT_DeleteTBar (int i)

void	BDT_Reg (TString dataset, const TString &fin="TMVAReg.root")

void	BDT_Reg (TString dataset, Int_t itree, TString wfile="", TString methName="BDT", Bool_t useTMVAStyle=kTRUE)

void	bdtcontrolplots (TString dataset, TDirectory *)

void	BDTControlPlots (TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)

void	BDTReg_DeleteTBar (int i)

void	BoostControlPlots (TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)

void	boostcontrolplots (TString dataset, TDirectory *boostdir)

void	compareanapp (TString finAn="TMVA.root", TString finApp="TMVApp.root", HistType htype=kMVAType, bool useTMVAStyle=kTRUE)

template<typename F , typename G , typename H >
compose_binary_t< F, G, H >	compose_binary (const F &_f, const G &_g, const H &_h)

template<typename F , typename G >
compose_unary_t< F, G >	compose_unary (const F &_f, const G &_g)

void	correlations (TString dataset, TString fin="TMVA.root", Bool_t isRegression=kFALSE, Bool_t greyScale=kFALSE, Bool_t useTMVAStyle=kTRUE)

void	correlationscatters (TString dataset, TString fin, TString var="var3", TString dirName_="InputVariables_Id", TString title="TMVA Input Variable", Bool_t isRegression=kFALSE, Bool_t useTMVAStyle=kTRUE)

void	correlationscattersMultiClass (TString dataset, TString fin="TMVA.root", TString var="var3", TString dirName_="InputVariables_Id", TString title="TMVA Input Variable", Bool_t isRegression=kFALSE, Bool_t useTMVAStyle=kTRUE)

void	correlationsMultiClass (TString dataset, TString fin="TMVA.root", Bool_t isRegression=kFALSE, Bool_t greyScale=kFALSE, Bool_t useTMVAStyle=kTRUE)

void	CorrGui (TString dataset, TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variable", Bool_t isRegression=kFALSE)

void	CorrGui_DeleteTBar ()

void	CorrGuiMultiClass (TString dataset, TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variable", Bool_t isRegression=kFALSE)

void	CorrGuiMultiClass_DeleteTBar ()

void	CreateVariableTransforms (const TString &trafoDefinition, TMVA::DataSetInfo &dataInfo, TMVA::TransformationHandler &transformationHandler, TMVA::MsgLogger &log)

void	DataLoaderCopy (TMVA::DataLoader des, TMVA::DataLoader src)

template<class T >
DeleteFunctor_t< const T >	DeleteFunctor ()

void	deviations (TString dataset, TString fin="TMVAReg.root", HistType htype=kMVAType, Bool_t showTarget=kTRUE, Bool_t useTMVAStyle=kTRUE)

void	draw_activation (TCanvas *c, Double_t cx, Double_t cy, Double_t radx, Double_t rady, Int_t whichActivation)

void	draw_input_labels (TString dataset, Int_t nInputs, Double_t *cy, Double_t rad, Double_t layerWidth)

void	draw_layer (TString dataset, TCanvas c, TH2F h, Int_t iHist, Int_t nLayers, Double_t maxWeight)

void	draw_layer_labels (Int_t nLayers)

void	draw_network (TString dataset, TFile f, TDirectory d, const TString &hName="weights_hist", Bool_t movieMode=kFALSE, const TString &epoch="")

void	draw_synapse (Double_t cx1, Double_t cy1, Double_t cx2, Double_t cy2, Double_t rad1, Double_t rad2, Double_t weightNormed)

void	DrawCell (TMVA::PDEFoamCell cell, TMVA::PDEFoam foam, Double_t x, Double_t y, Double_t xscale, Double_t yscale)

void	DrawMLPoutputMovie (TString dataset, TFile *file, const TString &methodType, const TString &methodTitle)

void	DrawNetworkMovie (TString dataset, TFile *file, const TString &methodType, const TString &methodTitle)

void	efficiencies (TString dataset, TString fin="TMVA.root", Int_t type=2, Bool_t useTMVAStyle=kTRUE)

MsgLogger &	Endl (MsgLogger &ml)

TString	fetchValue (const std::map< TString, TString > &keyValueMap, TString key)

template<typename T >
T	fetchValue (const std::map< TString, TString > &keyValueMap, TString key, T defaultValue)

template<>
int	fetchValue (const std::map< TString, TString > &keyValueMap, TString key, int defaultValue)

template<>
double	fetchValue (const std::map< TString, TString > &keyValueMap, TString key, double defaultValue)

template<>
TString	fetchValue (const std::map< TString, TString > &keyValueMap, TString key, TString defaultValue)

template<>
bool	fetchValue (const std::map< TString, TString > &keyValueMap, TString key, bool defaultValue)

template<>
std::vector< double >	fetchValue (const std::map< TString, TString > &keyValueMap, TString key, std::vector< double > defaultValue)

Config &	gConfig ()

TString *	get_var_names (TString dataset, Int_t nVars)

Int_t	getBkgColorF ()

Int_t	getBkgColorT ()

Int_t	getIntColorF ()

Int_t	getIntColorT ()

TList *	GetKeyList (const TString &pattern)

Int_t	getSigColorF ()

Int_t	getSigColorT ()

Tools &	gTools ()

Int_t	LargestCommonDivider (Int_t a, Int_t b)

void	likelihoodrefs (TString dataset, TDirectory *lhdir)

void	likelihoodrefs (TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)

void	MovieMaker (TString dataset, TString methodType="Method_MLP", TString methodTitle="MLP")

void	MultiClassActionButton (TControlBar *cbar, const TString &title, const TString &macro, const TString &comment, const TString &buttonType, TString requiredKey="")

TList *	MultiClassGetKeyList (const TString &pattern)

void	mvaeffs (TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE, TString formula="S/sqrt(S+B)")

void	mvas (TString dataset, TString fin="TMVA.root", HistType htype=kMVAType, Bool_t useTMVAStyle=kTRUE)

void	mvasMulticlass (TString dataset, TString fin="TMVAMulticlass.root", HistType htype=kMVAType, Bool_t useTMVAStyle=kTRUE)

void	mvaweights (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)

void	network (TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)

template<typename F >
null_t< F >	null ()

Bool_t	operator< (const GeneticGenes &, const GeneticGenes &)

std::ostream &	operator<< (std::ostream &os, const Rule &rule)
	std::ostream operator More...

std::ostream &	operator<< (std::ostream &os, const Node &node)
	output operator for a node More...

std::ostream &	operator<< (std::ostream &os, const Node *node)
	output operator with a pointer to the node (which still prints the node itself) More...

std::ostream &	operator<< (std::ostream &os, const Event &event)
	Outputs the data of an event. More...

std::ostream &	operator<< (std::ostream &os, const RuleEnsemble &event)
	std::ostream operator More...

std::ostream &	operator<< (std::ostream &os, const BinaryTree &tree)
	print the tree recursinvely using the << operator More...

std::ostream &	operator<< (std::ostream &os, const PDF &tree)
	write the pdf More...

std::istream &	operator>> (std::istream &istr, BinaryTree &tree)
	read the tree from an std::istream More...

std::istream &	operator>> (std::istream &istr, PDF &tree)
	read the tree from an std::istream More...

void	paracoor (TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)

void	Plot (TString fileName, TMVA::ECellValue cv, TString cv_long, bool useTMVAStyle=kTRUE)

void	Plot1DimFoams (TList &foam_list, TMVA::ECellValue cell_value, const TString &cell_value_description, TMVA::PDEFoamKernelBase *kernel)

void	plot_efficiencies (TString dataset, TFile file, Int_t type=2, TDirectory BinDir=0)

void	PlotCellTree (TString fileName, TString cv_long, bool useTMVAStyle=kTRUE)

void	PlotFoams (TString fileName="weights/TMVAClassification_PDEFoam.weights_foams.root", bool useTMVAStyle=kTRUE)

void	PlotNDimFoams (TList &foam_list, TMVA::ECellValue cell_value, const TString &cell_value_description, TMVA::PDEFoamKernelBase *kernel)

void	probas (TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)

void	RegGuiActionButton (TControlBar *cbar, const TString &title, const TString &macro, const TString &comment, const TString &buttonType, TString requiredKey="")

TList *	RegGuiGetKeyList (const TString &pattern)

void	regression_averagedevs (TString dataset, TString fin, Int_t Nevt=-1, Bool_t useTMVAStyle=kTRUE)

void	rulevis (TString fin="TMVA.root", TMVAGlob::TypeOfPlot type=TMVAGlob::kNorm, bool useTMVAStyle=kTRUE)

void	rulevisCorr (TString fin="TMVA.root", TMVAGlob::TypeOfPlot type=TMVAGlob::kNorm, bool useTMVAStyle=kTRUE)

void	rulevisCorr (TDirectory rfdir, TDirectory vardir, TDirectory *corrdir, TMVAGlob::TypeOfPlot type)

void	rulevisHists (TString fin="TMVA.root", TMVAGlob::TypeOfPlot type=TMVAGlob::kNorm, bool useTMVAStyle=kTRUE)

void	rulevisHists (TDirectory rfdir, TDirectory vardir, TDirectory *corrdir, TMVAGlob::TypeOfPlot type)

void	TMVAGui (const char *fName="TMVA.root", TString dataset="")

void	TMVAMultiClassGui (const char *fName="TMVAMulticlass.root", TString dataset="")

void	TMVARegGui (const char *fName="TMVAReg.root", TString dataset="")

void	variables (TString dataset, TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variables", Bool_t isRegression=kFALSE, Bool_t useTMVAStyle=kTRUE)

void	variablesMultiClass (TString dataset, TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variables", Bool_t isRegression=kFALSE, Bool_t useTMVAStyle=kTRUE)

Variables
static std::vector< TControlBar * >	BDT_Global__cbar

static std::vector< TControlBar * >	BDTReg_Global__cbar

const Bool_t	GeneticAlgorithm__DEBUG__ = kFALSE

const int	max_Events_ = 200000

const int	max_nLayers_ = 6

const int	max_nNodes_ = 200

const int	max_nVar_ = 200

const Bool_t	MethodPDERS_UseFindRoot = kFALSE

Detailed Description

Abstract ClassifierFactory template that handles arbitrary types.

create variable transformations

This template creates ClassifierFactory stores creator functors to template parameter class. ClassifierFactory is a singelton class which is explicitly deleted.

Source: Andrei Alexandrescu, Modern C++ Design

Typedef Documentation

typedef UInt_t TMVA::TMVAVersion_t

Definition at line 55 of file Types.h.

Enumeration Type Documentation

enum TMVA::ECellValue

Enumerator
kValue
kValueError
kValueDensity
kMeanValue
kRms
kRmsOvMean
kCellVolume

Definition at line 85 of file PDEFoam.h.

enum TMVA::EDTSeparation

Enumerator
kFoam
kGiniIndex
kMisClassificationError
kCrossEntropy
kGiniIndexWithLaplace
kSdivSqrtSplusB

Definition at line 70 of file PDEFoam.h.

enum TMVA::EFoamType

Enumerator
kSeparate
kDiscr
kMonoTarget
kMultiTarget
kMultiClass

Definition at line 74 of file PDEFoam.h.

enum TMVA::EMsgType

Enumerator
kDEBUG
kVERBOSE
kINFO
kWARNING
kERROR
kFATAL
kSILENT
kHEADER

Definition at line 61 of file Types.h.

enum TMVA::ETargetSelection

Enumerator
kMean
kMpv

Definition at line 43 of file PDEFoamMultiTarget.h.

enum TMVA::HistType

Enumerator
kMVAType
kProbaType
kRarityType
kCompareType

Definition at line 72 of file Types.h.

enum TMVA::VIType

Enumerator
kShort
kAll
kRandom

Definition at line 75 of file Types.h.

Function Documentation

void TMVA::ActionButton	(	TControlBar *	cbar,
		const TString &	title,
		const TString &	macro,
		const TString &	comment,
		const TString &	buttonType,
		TString	requiredKey = `""`
	)

Definition at line 33 of file TMVAGui.cxx.

void TMVA::annconvergencetest	(	TString	dataset,
		TDirectory *	lhdir
	)

Definition at line 13 of file annconvergencetest.cxx.

void TMVA::annconvergencetest	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 64 of file annconvergencetest.cxx.

void TMVA::BDT	(	TString	dataset,
		const TString &	fin = `"TMVA.root"`
	)

Definition at line 372 of file BDT.cxx.

void TMVA::BDT	(	TString	dataset,
		Int_t	itree,
		TString	wfile,
		TString	methName = `"BDT"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 453 of file BDT.cxx.

void TMVA::BDT_DeleteTBar ( int i )

Definition at line 441 of file BDT.cxx.

void TMVA::BDT_Reg	(	TString	dataset,
		const TString &	fin = `"TMVAReg.root"`
	)

Definition at line 364 of file BDT_Reg.cxx.

void TMVA::BDT_Reg	(	TString	dataset,
		Int_t	itree,
		TString	wfile = `""`,
		TString	methName = `"BDT"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 445 of file BDT_Reg.cxx.

void TMVA::bdtcontrolplots	(	TString	dataset,
		TDirectory *	bdtdir
	)

Definition at line 43 of file BDTControlPlots.cxx.

void TMVA::BDTControlPlots	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 12 of file BDTControlPlots.cxx.

void TMVA::BDTReg_DeleteTBar ( int i )

Definition at line 433 of file BDT_Reg.cxx.

void TMVA::BoostControlPlots	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 12 of file BoostControlPlots.cxx.

void TMVA::boostcontrolplots	(	TString	dataset,
		TDirectory *	boostdir
	)

Definition at line 38 of file BoostControlPlots.cxx.

void TMVA::compareanapp	(	TString	finAn = `"TMVA.root"`,
		TString	finApp = `"TMVApp.root"`,
		HistType	htype = `kMVAType`,
		bool	useTMVAStyle = `kTRUE`
	)

Definition at line 10 of file compareanapp.cxx.

template<typename F , typename G , typename H >

compose_binary_t<F,G,H> TMVA::compose_binary	(	const F &	_f,
		const G &	_g,
		const H &	_h
	)

inline

Definition at line 172 of file DataSetFactory.h.

template<typename F , typename G >

compose_unary_t<F,G> TMVA::compose_unary	(	const F &	_f,
		const G &	_g
	)

inline

Definition at line 198 of file DataSetFactory.h.

void TMVA::correlations	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	isRegression = `kFALSE`,
		Bool_t	greyScale = `kFALSE`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 16 of file correlations.cxx.

void TMVA::correlationscatters	(	TString	dataset,
		TString	fin,
		TString	var = `"var3"`,
		TString	dirName_ = `"InputVariables_Id"`,
		TString	title = `"TMVA Input Variable"`,
		Bool_t	isRegression = `kFALSE`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 13 of file correlationscatters.cxx.

void TMVA::correlationscattersMultiClass	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		TString	var = `"var3"`,
		TString	dirName_ = `"InputVariables_Id"`,
		TString	title = `"TMVA Input Variable"`,
		Bool_t	isRegression = `kFALSE`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 13 of file correlationscattersMultiClass.cxx.

void TMVA::correlationsMultiClass	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	isRegression = `kFALSE`,
		Bool_t	greyScale = `kFALSE`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 14 of file correlationsMultiClass.cxx.

void TMVA::CorrGui	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		TString	dirName = `"InputVariables_Id"`,
		TString	title = `"TMVA Input Variable"`,
		Bool_t	isRegression = `kFALSE`
	)

Definition at line 14 of file CorrGui.cxx.

void TMVA::CorrGui_DeleteTBar ( )

Definition at line 111 of file CorrGui.cxx.

void TMVA::CorrGuiMultiClass	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		TString	dirName = `"InputVariables_Id"`,
		TString	title = `"TMVA Input Variable"`,
		Bool_t	isRegression = `kFALSE`
	)

Definition at line 13 of file CorrGuiMultiClass.cxx.

void TMVA::CorrGuiMultiClass_DeleteTBar ( )

Definition at line 77 of file CorrGuiMultiClass.cxx.

void TMVA::CreateVariableTransforms	(	const TString &	trafoDefinition,
		TMVA::DataSetInfo &	dataInfo,
		TMVA::TransformationHandler &	transformationHandler,
		TMVA::MsgLogger &	log
	)

Definition at line 67 of file VariableTransform.cxx.

void TMVA::DataLoaderCopy	(	TMVA::DataLoader *	des,
		TMVA::DataLoader *	src
	)

Definition at line 794 of file DataLoader.cxx.

template<class T >

DeleteFunctor_t<const T> TMVA::DeleteFunctor ( )

Definition at line 112 of file DataSetFactory.h.

void TMVA::deviations	(	TString	dataset,
		TString	fin = `"TMVAReg.root"`,
		HistType	htype = `kMVAType`,
		Bool_t	showTarget = `kTRUE`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 16 of file deviations.cxx.

void TMVA::draw_activation	(	TCanvas *	c,
		Double_t	cx,
		Double_t	cy,
		Double_t	radx,
		Double_t	rady,
		Int_t	whichActivation
	)

Definition at line 285 of file network.cxx.

void TMVA::draw_input_labels	(	TString	dataset,
		Int_t	nInputs,
		Double_t *	cy,
		Double_t	rad,
		Double_t	layerWidth
	)

Definition at line 198 of file network.cxx.

void TMVA::draw_layer	(	TString	dataset,
		TCanvas *	c,
		TH2F *	h,
		Int_t	iHist,
		Int_t	nLayers,
		Double_t	maxWeight
	)

Definition at line 322 of file network.cxx.

void TMVA::draw_layer_labels ( Int_t nLayers )

Definition at line 172 of file network.cxx.

void TMVA::draw_network	(	TString	dataset,
		TFile *	f,
		TDirectory *	d,
		const TString &	hName = `"weights_hist"`,
		Bool_t	movieMode = `kFALSE`,
		const TString &	epoch = `""`
	)

Definition at line 29 of file network.cxx.

void TMVA::draw_synapse	(	Double_t	cx1,
		Double_t	cy1,
		Double_t	cx2,
		Double_t	cy2,
		Double_t	rad1,
		Double_t	rad2,
		Double_t	weightNormed
	)

Definition at line 403 of file network.cxx.

void TMVA::DrawCell	(	TMVA::PDEFoamCell *	cell,
		TMVA::PDEFoam *	foam,
		Double_t	x,
		Double_t	y,
		Double_t	xscale,
		Double_t	yscale
	)

Definition at line 236 of file PlotFoams.cxx.

void TMVA::DrawMLPoutputMovie	(	TString	dataset,
		TFile *	file,
		const TString &	methodType,
		const TString &	methodTitle
	)

Definition at line 63 of file MovieMaker.cxx.

void TMVA::DrawNetworkMovie	(	TString	dataset,
		TFile *	file,
		const TString &	methodType,
		const TString &	methodTitle
	)

Definition at line 18 of file MovieMaker.cxx.

void TMVA::efficiencies	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Int_t	type = `2`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 214 of file efficiencies.cxx.

MsgLogger& TMVA::Endl ( MsgLogger & ml )

inline

Definition at line 162 of file MsgLogger.h.

TString TMVA::fetchValue	(	const std::map< TString, TString > &	keyValueMap,
		TString	key
	)

Definition at line 293 of file MethodDNN.cxx.

template<typename T >

T TMVA::fetchValue	(	const std::map< TString, TString > &	keyValueMap,
		TString	key,
		T	defaultValue
	)

template<>

int TMVA::fetchValue	(	const std::map< TString, TString > &	keyValueMap,
		TString	key,
		int	defaultValue
	)

Definition at line 311 of file MethodDNN.cxx.

template<>

double TMVA::fetchValue	(	const std::map< TString, TString > &	keyValueMap,
		TString	key,
		double	defaultValue
	)

Definition at line 324 of file MethodDNN.cxx.

template<>

TString TMVA::fetchValue	(	const std::map< TString, TString > &	keyValueMap,
		TString	key,
		TString	defaultValue
	)

Definition at line 336 of file MethodDNN.cxx.

template<>

bool TMVA::fetchValue	(	const std::map< TString, TString > &	keyValueMap,
		TString	key,
		bool	defaultValue
	)

Definition at line 348 of file MethodDNN.cxx.

template<>

std::vector<double> TMVA::fetchValue	(	const std::map< TString, TString > &	keyValueMap,
		TString	key,
		std::vector< double >	defaultValue
	)

Definition at line 364 of file MethodDNN.cxx.

TMVA::Config & TMVA::gConfig ( )

Definition at line 43 of file Config.cxx.

TString * TMVA::get_var_names	(	TString	dataset,
		Int_t	nVars
	)

Definition at line 229 of file network.cxx.

Int_t TMVA::getBkgColorF ( )

inline

Definition at line 41 of file BDT.h.

Int_t TMVA::getBkgColorT ( )

inline

Definition at line 46 of file BDT.h.

Int_t TMVA::getIntColorF ( )

inline

Definition at line 42 of file BDT.h.

Int_t TMVA::getIntColorT ( )

inline

Definition at line 47 of file BDT.h.

TList * TMVA::GetKeyList ( const TString & pattern )

Definition at line 20 of file TMVAGui.cxx.

Int_t TMVA::getSigColorF ( )

inline

Definition at line 40 of file BDT.h.

Int_t TMVA::getSigColorT ( )

inline

Definition at line 45 of file BDT.h.

TMVA::Tools & TMVA::gTools ( )

Definition at line 79 of file Tools.cxx.

Int_t TMVA::LargestCommonDivider	(	Int_t	a,
		Int_t	b
	)

Definition at line 91 of file DataSetFactory.cxx.

void TMVA::likelihoodrefs	(	TString	dataset,
		TDirectory *	lhdir
	)

Definition at line 15 of file likelihoodrefs.cxx.

void TMVA::likelihoodrefs	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 172 of file likelihoodrefs.cxx.

void TMVA::MovieMaker	(	TString	dataset,
		TString	methodType = `"Method_MLP"`,
		TString	methodTitle = `"MLP"`
	)

Definition at line 211 of file MovieMaker.cxx.

void TMVA::MultiClassActionButton	(	TControlBar *	cbar,
		const TString &	title,
		const TString &	macro,
		const TString &	comment,
		const TString &	buttonType,
		TString	requiredKey = `""`
	)

Definition at line 31 of file TMVAMultiClassGui.cxx.

TList * TMVA::MultiClassGetKeyList ( const TString & pattern )

Definition at line 18 of file TMVAMultiClassGui.cxx.

void TMVA::mvaeffs	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`,
		TString	formula = `"S/sqrt(S+B)"`
	)

Definition at line 513 of file mvaeffs.cxx.

void TMVA::mvas	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		HistType	htype = `kMVAType`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 16 of file mvas.cxx.

void TMVA::mvasMulticlass	(	TString	dataset,
		TString	fin = `"TMVAMulticlass.root"`,
		HistType	htype = `kMVAType`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 16 of file mvasMulticlass.cxx.

void TMVA::mvaweights	(	TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 9 of file mvaweights.cxx.

void TMVA::network	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 425 of file network.cxx.

template<typename F >

null_t<F> TMVA::null ( )

inline

Definition at line 144 of file DataSetFactory.h.

Bool_t TMVA::operator<	(	const GeneticGenes &	first,
		const GeneticGenes &	second
	)

Definition at line 47 of file GeneticGenes.cxx.

std::ostream & TMVA::operator<<	(	std::ostream &	os,
		const Rule &	rule
	)

std::ostream operator

Definition at line 262 of file Rule.cxx.

std::ostream & TMVA::operator<<	(	std::ostream &	os,
		const Node &	node
	)

output operator for a node

Definition at line 131 of file Node.cxx.

std::ostream & TMVA::operator<<	(	std::ostream &	os,
		const Node *	node
	)

output operator with a pointer to the node (which still prints the node itself)

Definition at line 140 of file Node.cxx.

std::ostream & TMVA::operator<<	(	std::ostream &	os,
		const Event &	event
	)

Outputs the data of an event.

Definition at line 405 of file Event.cxx.

std::ostream & TMVA::operator<<	(	std::ostream &	os,
		const RuleEnsemble &	event
	)

std::ostream operator

Definition at line 1441 of file RuleEnsemble.cxx.

std::ostream & TMVA::operator<<	(	std::ostream &	os,
		const BinaryTree &	tree
	)

print the tree recursinvely using the << operator

Definition at line 159 of file BinaryTree.cxx.

std::ostream & TMVA::operator<<	(	std::ostream &	os,
		const PDF &	tree
	)

write the pdf

Definition at line 1032 of file PDF.cxx.

std::istream & TMVA::operator>>	(	std::istream &	istr,
		TMVA::BinaryTree &	tree
	)

read the tree from an std::istream

Definition at line 205 of file BinaryTree.cxx.

std::istream & TMVA::operator>>	(	std::istream &	istr,
		PDF &	tree
	)

read the tree from an std::istream

Definition at line 1070 of file PDF.cxx.

void TMVA::paracoor	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 16 of file paracoor.cxx.

void TMVA::Plot	(	TString	fileName,
		TMVA::ECellValue	cv,
		TString	cv_long,
		bool	useTMVAStyle = `kTRUE`
	)

Definition at line 62 of file PlotFoams.cxx.

void TMVA::Plot1DimFoams	(	TList &	foam_list,
		TMVA::ECellValue	cell_value,
		const TString &	cell_value_description,
		TMVA::PDEFoamKernelBase *	kernel
	)

Definition at line 125 of file PlotFoams.cxx.

void TMVA::plot_efficiencies	(	TString	dataset,
		TFile *	file,
		Int_t	type = `2`,
		TDirectory *	BinDir = `0`
	)

Definition at line 8 of file efficiencies.cxx.

void TMVA::PlotCellTree	(	TString	fileName,
		TString	cv_long,
		bool	useTMVAStyle = `kTRUE`
	)

Definition at line 202 of file PlotFoams.cxx.

void TMVA::PlotFoams	(	TString	fileName = `"weights/TMVAClassification_PDEFoam.weights_foams.root"`,
		bool	useTMVAStyle = `kTRUE`
	)

Definition at line 17 of file PlotFoams.cxx.

void TMVA::PlotNDimFoams	(	TList &	foam_list,
		TMVA::ECellValue	cell_value,
		const TString &	cell_value_description,
		TMVA::PDEFoamKernelBase *	kernel
	)

Definition at line 156 of file PlotFoams.cxx.

void TMVA::probas	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 40 of file probas.cxx.

void TMVA::RegGuiActionButton	(	TControlBar *	cbar,
		const TString &	title,
		const TString &	macro,
		const TString &	comment,
		const TString &	buttonType,
		TString	requiredKey = `""`
	)

Definition at line 27 of file TMVARegGui.cxx.

TList * TMVA::RegGuiGetKeyList ( const TString & pattern )

Definition at line 14 of file TMVARegGui.cxx.

void TMVA::regression_averagedevs	(	TString	dataset,
		TString	fin,
		Int_t	Nevt = `-1`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 16 of file regression_averagedevs.cxx.

void TMVA::rulevis	(	TString	fin = `"TMVA.root"`,
		TMVAGlob::TypeOfPlot	type = `TMVAGlob::kNorm`,
		bool	useTMVAStyle = `kTRUE`
	)

Definition at line 12 of file rulevis.cxx.

void TMVA::rulevisCorr	(	TString	fin = `"TMVA.root"`,
		TMVAGlob::TypeOfPlot	type = `TMVAGlob::kNorm`,
		bool	useTMVAStyle = `kTRUE`
	)

Definition at line 15 of file rulevisCorr.cxx.

void TMVA::rulevisCorr	(	TDirectory *	rfdir,
		TDirectory *	vardir,
		TDirectory *	corrdir,
		TMVAGlob::TypeOfPlot	type
	)

Definition at line 61 of file rulevisCorr.cxx.

void TMVA::rulevisHists	(	TString	fin = `"TMVA.root"`,
		TMVAGlob::TypeOfPlot	type = `TMVAGlob::kNorm`,
		bool	useTMVAStyle = `kTRUE`
	)

Definition at line 13 of file rulevisHists.cxx.

void TMVA::rulevisHists	(	TDirectory *	rfdir,
		TDirectory *	vardir,
		TDirectory *	corrdir,
		TMVAGlob::TypeOfPlot	type
	)

Definition at line 45 of file rulevisHists.cxx.

void TMVA::TMVAGui	(	const char *	fName = `"TMVA.root"`,
		TString	dataset = `""`
	)

Definition at line 52 of file TMVAGui.cxx.

void TMVA::TMVAMultiClassGui	(	const char *	fName = `"TMVAMulticlass.root"`,
		TString	dataset = `""`
	)

Definition at line 50 of file TMVAMultiClassGui.cxx.

void TMVA::TMVARegGui	(	const char *	fName = `"TMVAReg.root"`,
		TString	dataset = `""`
	)

Definition at line 46 of file TMVARegGui.cxx.

void TMVA::variables	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		TString	dirName = `"InputVariables_Id"`,
		TString	title = `"TMVA Input Variables"`,
		Bool_t	isRegression = `kFALSE`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 10 of file variables.cxx.

void TMVA::variablesMultiClass	(	TString	dataset,
		TString	fin = `"TMVA.root"`,
		TString	dirName = `"InputVariables_Id"`,
		TString	title = `"TMVA Input Variables"`,
		Bool_t	isRegression = `kFALSE`,
		Bool_t	useTMVAStyle = `kTRUE`
	)

Definition at line 10 of file variablesMultiClass.cxx.

Variable Documentation

std::vector<TControlBar*> TMVA::BDT_Global__cbar

static

Definition at line 117 of file BDT.h.

std::vector<TControlBar*> TMVA::BDTReg_Global__cbar

static

Definition at line 105 of file BDT_Reg.h.

const Bool_t TMVA::GeneticAlgorithm__DEBUG__ = kFALSE

Definition at line 49 of file GeneticAlgorithm.cxx.

const int TMVA::max_Events_ = 200000

Definition at line 38 of file MethodCFMlpANN_def.h.

const int TMVA::max_nLayers_ = 6

Definition at line 39 of file MethodCFMlpANN_def.h.

const int TMVA::max_nNodes_ = 200

Definition at line 40 of file MethodCFMlpANN_def.h.

const int TMVA::max_nVar_ = 200

Definition at line 41 of file MethodCFMlpANN_def.h.

const Bool_t TMVA::MethodPDERS_UseFindRoot = kFALSE

Definition at line 96 of file MethodPDERS.cxx.

Namespaces

Classes

Typedefs

Enumerations

Functions

Variables

Detailed Description

Typedef Documentation

Enumeration Type Documentation

Function Documentation

Variable Documentation