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TMVA Namespace Reference

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

Namespaces

 kNN
 
 TMVAGlob
 

Classes

class  MethodPyAdaBoost
 
class  MethodPyGTB
 
class  MethodPyRandomForest
 
class  PyMethodBase
 
class  MethodC50
 
class  MethodRSNNS
 
class  MethodRSVM
 
class  MethodRXGB
 
class  RMethodBase
 
class  BDTEventWrapper
 
class  BinarySearchTree
 
class  BinarySearchTreeNode
 
class  BinaryTree
 
class  CCPruner
 
class  CCTreeWrapper
 
class  ClassifierFactory
 
class  ClassInfo
 
class  Config
 
class  Configurable
 
class  ConvergenceTest
 
class  CostComplexityPruneTool
 
class  CrossEntropy
 
class  TreeInfo
 
class  DataInputHandler
 
class  DataSet
 
class  RandomGenerator
 
struct  DeleteFunctor_t
 
class  Increment
 
class  null_t
 
class  compose_binary_t
 
class  compose_unary_t
 
class  DataSetFactory
 
class  DataSetInfo
 
class  DataSetManager
 
class  DecisionTree
 
class  DTNodeTrainingInfo
 
class  DecisionTreeNode
 
class  Event
 
class  ExpectedErrorPruneTool
 
class  Factory
 
class  FitterBase
 
class  GeneticAlgorithm
 
class  GeneticFitter
 
class  GeneticGenes
 
class  GeneticPopulation
 
class  GeneticRange
 
class  GiniIndex
 
class  GiniIndexWithLaplace
 
class  IFitterTarget
 
class  IMethod
 
class  Interval
 
class  PruningInfo
 
class  IPruneTool
 
class  KDEKernel
 
class  LDA
 
class  LogInterval
 
class  MCFitter
 
class  MethodANNBase
 
class  MethodBase
 
class  MethodBayesClassifier
 
class  MethodBDT
 
class  MethodBoost
 
class  MethodCategory
 
class  MethodCFMlpANN
 
class  MethodCFMlpANN_Utils
 
class  MethodCompositeBase
 
class  MethodCuts
 
class  MethodDT
 
class  MethodFDA
 
class  MethodFisher
 
class  MethodHMatrix
 
class  MethodKNN
 
class  MethodLD
 
class  MethodLikelihood
 
class  MethodMLP
 
class  MethodPDEFoam
 
class  MethodPDERS
 
class  MethodRuleFit
 
class  MethodSVM
 
class  MethodTMlpANN
 
class  MinuitFitter
 
class  MinuitWrapper
 
class  MisClassificationError
 
class  MsgLogger
 
class  Node
 
class  OptimizeConfigParameters
 
class  OptionBase
 
class  Option
 
class  Option< T * >
 
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  QuickMVAProbEstimator
 
class  Ranking
 
class  Rank
 
class  Reader
 
class  RegressionVariance
 
class  Results
 
class  ResultsClassification
 
class  ResultsMulticlass
 
class  ResultsRegression
 
class  ROCCalc
 
class  RootFinder
 
class  Rule
 
class  RuleCut
 
class  RuleEnsemble
 
class  RuleFit
 
class  RuleFitAPI
 
class  RuleFitParams
 
class  AbsValue
 
class  SdivSqrtSplusB
 
class  SeparationBase
 
class  SimulatedAnnealing
 
class  SimulatedAnnealingFitter
 
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  TNeuron
 
class  TNeuronInput
 
class  TNeuronInputAbs
 
class  TNeuronInputChooser
 
class  TNeuronInputSqSum
 
class  TNeuronInputSum
 
class  Tools
 
class  TransformationHandler
 
class  TSpline1
 
class  TSpline2
 
class  TSynapse
 
class  Types
 
class  VariableDecorrTransform
 
class  TMVAGaussPair
 
class  VariableGaussTransform
 
class  VariableIdentityTransform
 
class  VariableInfo
 
class  VariableNormalizeTransform
 
class  VariablePCATransform
 
class  VariableRearrangeTransform
 
class  VariableTransformBase
 
class  Volume
 
class  StatDialogBDT
 
class  StatDialogBDTReg
 
class  MethodInfo
 
class  StatDialogMVAEffs
 
struct  TMVAGUI
 

Typedefs

typedef UInt_t TMVAVersion_t
 

Enumerations

enum  EDTSeparation {
  kFoam, kGiniIndex, kMisClassificationError, kCrossEntropy,
  kGiniIndexWithLaplace, kSdivSqrtSplusB
}
 
enum  EFoamType {
  kSeparate, kDiscr, kMonoTarget, kMultiTarget,
  kMultiClass
}
 
enum  ECellValue {
  kValue, kValueError, kValueDensity, kMeanValue,
  kRms, kRmsOvMean, kCellVolume
}
 
enum  ETargetSelection { kMean = 0, kMpv = 1 }
 
enum  EMsgType {
  kDEBUG = 1, kVERBOSE = 2, kINFO = 3, kWARNING = 4,
  kERROR = 5, kFATAL = 6, kSILENT = 7
}
 
enum  HistType { kMVAType = 0, kProbaType = 1, kRarityType = 2, kCompareType = 3 }
 

Functions

std::ostream & operator<< (std::ostream &os, const BinaryTree &tree)
 print the tree recursinvely using the << operator More...
 
std::istream & operator>> (std::istream &istr, BinaryTree &tree)
 read the tree from an std::istream More...
 
Config & gConfig ()
 
template<class T >
DeleteFunctor_t< const T > DeleteFunctor ()
 
template<typename F >
null_t< F > null ()
 
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)
 
std::ostream & operator<< (std::ostream &os, const Event &event)
 Outputs the data of an event. More...
 
Bool_t operator< (const GeneticGenes &, const GeneticGenes &)
 
MsgLogger & Endl (MsgLogger &ml)
 
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 PDF &tree)
 write the pdf More...
 
std::istream & operator>> (std::istream &istr, PDF &tree)
 read the tree from an std::istream More...
 
std::ostream & operator<< (std::ostream &os, const Rule &rule)
 std::ostream operator More...
 
std::ostream & operator<< (std::ostream &os, const RuleEnsemble &event)
 std::ostream operator More...
 
Tools & gTools ()
 
Int_t LargestCommonDivider (Int_t a, Int_t b)
 
void annconvergencetest (TDirectory *lhdir)
 
void annconvergencetest (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
 
void BDT (const TString &fin="TMVA.root")
 
void BDT_DeleteTBar (int i)
 
void BDT (Int_t itree, TString wfile="weights/TMVAnalysis_test_BDT.weights.txt", TString methName="BDT", Bool_t useTMVAStyle=kTRUE)
 
void BDT_Reg (const TString &fin="TMVAReg.root")
 
void BDTReg_DeleteTBar (int i)
 
void BDT_Reg (Int_t itree, TString wfile="weights/TMVARegression_BDT.weights.xml", TString methName="BDT", Bool_t useTMVAStyle=kTRUE)
 
void bdtcontrolplots (TDirectory *)
 
void BDTControlPlots (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
 
void BoostControlPlots (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
 
void boostcontrolplots (TDirectory *boostdir)
 
void compareanapp (TString finAn="TMVA.root", TString finApp="TMVApp.root", HistType htype=kMVAType, bool useTMVAStyle=kTRUE)
 
void correlations (TString fin="TMVA.root", Bool_t isRegression=kFALSE, Bool_t greyScale=kFALSE, Bool_t useTMVAStyle=kTRUE)
 
void correlationscatters (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 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 fin="TMVA.root", Bool_t isRegression=kFALSE, Bool_t greyScale=kFALSE, Bool_t useTMVAStyle=kTRUE)
 
void CorrGui (TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variable", Bool_t isRegression=kFALSE)
 
void CorrGui_DeleteTBar ()
 
void CorrGuiMultiClass (TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variable", Bool_t isRegression=kFALSE)
 
void CorrGuiMultiClass_DeleteTBar ()
 
void deviations (TString fin="TMVAReg.root", HistType htype=kMVAType, Bool_t showTarget=kTRUE, Bool_t useTMVAStyle=kTRUE)
 
void plot_efficiencies (TFile *file, Int_t type=2, TDirectory *BinDir=0)
 
void efficiencies (TString fin="TMVA.root", Int_t type=2, Bool_t useTMVAStyle=kTRUE)
 
void likelihoodrefs (TDirectory *lhdir)
 
void likelihoodrefs (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
 
void DrawNetworkMovie (TFile *file, const TString &methodType, const TString &methodTitle)
 
void DrawMLPoutputMovie (TFile *file, const TString &methodType, const TString &methodTitle)
 
void MovieMaker (TString methodType="Method_MLP", TString methodTitle="MLP")
 
void mvaeffs (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE, TString formula="S/sqrt(S+B)")
 
void mvas (TString fin="TMVA.root", HistType htype=kMVAType, Bool_t useTMVAStyle=kTRUE)
 
void mvasMulticlass (TString fin="TMVAMulticlass.root", HistType htype=kMVAType, Bool_t useTMVAStyle=kTRUE)
 
void mvaweights (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
 
void draw_layer_labels (Int_t nLayers)
 
void draw_input_labels (Int_t nInputs, Double_t *cy, Double_t rad, Double_t layerWidth)
 
void draw_layer (TCanvas *c, TH2F *h, Int_t iHist, Int_t nLayers, Double_t maxWeight)
 
void draw_synapse (Double_t cx1, Double_t cy1, Double_t cx2, Double_t cy2, Double_t rad1, Double_t rad2, Double_t weightNormed)
 
TString * get_var_names (Int_t nVars)
 
void draw_network (TFile *f, TDirectory *d, const TString &hName="weights_hist", Bool_t movieMode=kFALSE, const TString &epoch="")
 
void draw_activation (TCanvas *c, Double_t cx, Double_t cy, Double_t radx, Double_t rady, Int_t whichActivation)
 
void network (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
 
void paracoor (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
 
void PlotFoams (TString fileName="weights/TMVAClassification_PDEFoam.weights_foams.root", bool 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 PlotNDimFoams (TList &foam_list, TMVA::ECellValue cell_value, const TString &cell_value_description, TMVA::PDEFoamKernelBase *kernel)
 
void PlotCellTree (TString fileName, TString cv_long, bool useTMVAStyle=kTRUE)
 
void DrawCell (TMVA::PDEFoamCell *cell, TMVA::PDEFoam *foam, Double_t x, Double_t y, Double_t xscale, Double_t yscale)
 
void probas (TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
 
void regression_averagedevs (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)
 
TList * GetKeyList (const TString &pattern)
 
void ActionButton (TControlBar *cbar, const TString &title, const TString &macro, const TString &comment, const TString &buttonType, TString requiredKey="")
 
void TMVAGui (const char *fName="TMVA.root")
 
TList * MultiClassGetKeyList (const TString &pattern)
 
void MultiClassActionButton (TControlBar *cbar, const TString &title, const TString &macro, const TString &comment, const TString &buttonType, TString requiredKey="")
 
void TMVAMultiClassGui (const char *fName="TMVAMulticlass.root")
 
TList * RegGuiGetKeyList (const TString &pattern)
 
void RegGuiActionButton (TControlBar *cbar, const TString &title, const TString &macro, const TString &comment, const TString &buttonType, TString requiredKey="")
 
void TMVARegGui (const char *fName="TMVAReg.root")
 
void variables (TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variables", Bool_t isRegression=kFALSE, Bool_t useTMVAStyle=kTRUE)
 
void variablesMultiClass (TString fin="TMVA.root", TString dirName="InputVariables_Id", TString title="TMVA Input Variables", Bool_t isRegression=kFALSE, Bool_t useTMVAStyle=kTRUE)
 
void exampleGA2nd ()
 
void exampleGA ()
 
void Training ()
 
void ApplicationCreateCombinedTree ()
 
void MaximizeSignificance ()
 

Variables

const int max_Events_ = 200000
 
const int max_nLayers_ = 6
 
const int max_nNodes_ = 200
 
const int max_nVar_ = 200
 
const Bool_t GeneticAlgorithm__DEBUG__ = kFALSE
 
const Bool_t MethodPDERS_UseFindRoot = kFALSE
 
static const Int_t kSigColorF = TColor::GetColor( "#0000FF" )
 
static const Int_t kBkgColorF = TColor::GetColor( "#FF0000" )
 
static const Int_t kIntColorF = TColor::GetColor( "#33aa77" )
 
static const Int_t kSigColorT = 10
 
static const Int_t kBkgColorT = 10
 
static const Int_t kIntColorT = 10
 
static std::vector< TControlBar * > BDT_Global__cbar
 
static std::vector< TControlBar * > BDTReg_Global__cbar
 

Detailed Description

Abstract ClassifierFactory template that handles arbitrary types.

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 

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 71 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.

Referenced by TMVAGui().

void TMVA::annconvergencetest ( TDirectory *  lhdir)

Definition at line 13 of file annconvergencetest.cxx.

Referenced by annconvergencetest().

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

Definition at line 64 of file annconvergencetest.cxx.

void TMVA::ApplicationCreateCombinedTree ( )

Definition at line 172 of file TMVAMultipleBackgroundExample.C.

Referenced by TMVAMultipleBackgroundExample().

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

Definition at line 371 of file BDT.cxx.

void TMVA::BDT ( Int_t  itree,
TString  wfile = "weights/TMVAnalysis_test_BDT.weights.txt",
TString  methName = "BDT",
Bool_t  useTMVAStyle = kTRUE 
)

Definition at line 452 of file BDT.cxx.

void TMVA::BDT_DeleteTBar ( int  i)

Definition at line 440 of file BDT.cxx.

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

Definition at line 363 of file BDT_Reg.cxx.

void TMVA::BDT_Reg ( Int_t  itree,
TString  wfile = "weights/TMVARegression_BDT.weights.xml",
TString  methName = "BDT",
Bool_t  useTMVAStyle = kTRUE 
)

Definition at line 444 of file BDT_Reg.cxx.

void TMVA::bdtcontrolplots ( TDirectory *  bdtdir)

Definition at line 43 of file BDTControlPlots.cxx.

Referenced by BDTControlPlots().

void TMVA::BDTControlPlots ( 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 432 of file BDT_Reg.cxx.

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

Definition at line 12 of file BoostControlPlots.cxx.

void TMVA::boostcontrolplots ( TDirectory *  boostdir)

Definition at line 39 of file BoostControlPlots.cxx.

Referenced by BoostControlPlots().

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.

Referenced by TMVA::DataSetFactory::RenormEvents().

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  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  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  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  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  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 115 of file CorrGui.cxx.

void TMVA::CorrGuiMultiClass ( 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 78 of file CorrGuiMultiClass.cxx.

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

Definition at line 112 of file DataSetFactory.h.

void TMVA::deviations ( 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 278 of file network.cxx.

Referenced by draw_layer().

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

Definition at line 191 of file network.cxx.

Referenced by draw_layer().

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

Definition at line 315 of file network.cxx.

Referenced by draw_network().

void TMVA::draw_layer_labels ( Int_t  nLayers)

Definition at line 165 of file network.cxx.

Referenced by draw_network().

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

Definition at line 29 of file network.cxx.

Referenced by DrawNetworkMovie(), and network().

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 396 of file network.cxx.

Referenced by draw_layer().

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.

Referenced by PlotCellTree().

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

Definition at line 63 of file MovieMaker.cxx.

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

Definition at line 18 of file MovieMaker.cxx.

Referenced by MovieMaker().

void TMVA::efficiencies ( 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.

Referenced by TMVA::MethodBoost::AdaBoost(), TMVA::MethodBDT::AdaBoost(), TMVA::MethodBDT::AdaBoostR2(), TMVA::MethodBDT::AdaCost(), TMVA::kNN::ModulekNN::Add(), TMVA::Factory::AddBackgroundTree(), TMVA::DataSetInfo::AddClass(), TMVA::MethodBase::AddClassifierOutput(), TMVA::MethodBase::AddClassifierOutputProb(), TMVA::DataInputHandler::AddInputTrees(), TMVA::MethodCategory::AddMethod(), TMVA::MethodBase::AddMulticlassOutput(), TMVA::Configurable::AddPreDefVal(), TMVA::Option< T >::AddPreDefVal(), TMVA::MethodBase::AddRegressionOutput(), TMVA::RuleEnsemble::AddRule(), TMVA::Factory::AddSignalTree(), TMVA::TransformationHandler::AddStats(), TMVA::DataInputHandler::AddTree(), TMVA::Factory::AddTree(), TMVA::Types::AddTypeMapping(), TMVA::Reader::AddVariable(), TMVA::MethodBayesClassifier::AddWeightsXMLTo(), TMVA::MethodLikelihood::AddWeightsXMLTo(), TMVA::MethodPDERS::AddWeightsXMLTo(), TMVA::MethodPDERS::ApplyKernelFunction(), TMVA::Configurable::AssignOpt(), TMVA::VariableGaussTransform::AttachXMLTo(), TMVA::VariableTransformBase::AttachXMLTo(), TMVA::MethodMLP::BackPropagationMinimize(), TMVA::MethodBase::BaseDir(), TMVA::MethodMLP::BFGSMinimize(), TMVA::BinarySearchTree::BinarySearchTree(), TMVA::Factory::BookMethod(), TMVA::Reader::BookMVA(), TMVA::RuleFit::Boost(), TMVA::MethodBDT::Boost(), TMVA::DataSetFactory::BuildDynamicDataSet(), TMVA::DataSetFactory::BuildEventVector(), TMVA::DataSetFactory::BuildInitialDataSet(), TMVA::PDF::BuildKDEPDF(), TMVA::MethodANNBase::BuildNetwork(), TMVA::PDF::BuildPDF(), TMVA::PDF::BuildSplinePDF(), TMVA::VariableNormalizeTransform::BuildTransformationFromVarInfo(), TMVA::RuleFit::BuildTree(), TMVA::DecisionTree::BuildTree(), TMVA::RuleFitParams::CalcAverageTruth(), TMVA::DataSetFactory::CalcCorrelationMatrix(), TMVA::Tools::CalcCovarianceMatrices(), TMVA::RuleFitParams::CalcFStar(), TMVA::RuleFit::CalcImportance(), TMVA::DataSetFactory::CalcMinMax(), TMVA::MethodBoost::CalcMVAValues(), TMVA::VariableTransformBase::CalcNorm(), TMVA::VariableNormalizeTransform::CalcNormalizationParams(), TMVA::RuleEnsemble::CalcRuleSupport(), TMVA::VariableDecorrTransform::CalcSQRMats(), TMVA::TransformationHandler::CalcStats(), TMVA::MethodMLP::CalculateEstimator(), TMVA::VariablePCATransform::CalculatePrincipalComponents(), TMVA::ExpectedErrorPruneTool::CalculatePruningInfo(), TMVA::CostComplexityPruneTool::CalculatePruningInfo(), TMVA::RuleEnsemble::CalcVarImportance(), TMVA::MethodPDEFoam::CalcXminXmax(), TMVA::PDEFoam::CellFill(), TMVA::DataSetFactory::ChangeToNewTree(), TMVA::PDEFoam::CheckAll(), TMVA::DecisionTree::CheckEvent(), TMVA::DecisionTree::CheckEventWithPrunedTree(), TMVA::Configurable::CheckForUnusedOptions(), TMVA::PDF::CheckHist(), TMVA::RuleFitAPI::CheckRFWorkDir(), TMVA::MethodBoost::CheckSetup(), TMVA::Tools::CheckSplines(), TMVA::DataSetFactory::CheckTTreeFormula(), ClassImp(), TMVA::RuleEnsemble::CleanupLinear(), TMVA::RuleEnsemble::CleanupRules(), TMVA::DataInputHandler::ClearTreeList(), TMVA::kNN::ModulekNN::ComputeMetric(), TMVA::Tools::ComputeStat(), TMVA::DecisionTree::CountLeafNodes(), TMVA::VariableTransformBase::CountVariableTypes(), TMVA::PDEFoam::Create(), TMVA::TActivationChooser::CreateActivation(), TMVA::MethodPDERS::CreateBinarySearchTree(), TMVA::MethodCategory::CreateCategoryDSI(), TMVA::DataSetInfo::CreateCorrelationMatrixHist(), TMVA::DataSetManager::CreateDataSet(), TMVA::DataSetFactory::CreateDataSet(), TMVA::ResultsRegression::CreateDeviationHistograms(), TMVA::MethodFDA::CreateFormula(), TMVA::MethodTMlpANN::CreateMLPOptions(), TMVA::ResultsMulticlass::CreateMulticlassHistos(), TMVA::MethodBoost::CreateMVAHistorgrams(), TMVA::MethodBase::CreateMVAPdfs(), TMVA::MethodPDEFoam::CreatePDEFoamKernel(), TMVA::DataSet::CreateSampling(), TMVA::MethodBase::CreateVariableTransforms(), TMVA::MethodCFMlpANN::DataInterface(), TMVA::DecisionTree::DecisionTree(), TMVA::Factory::DeleteAllMethods(), TMVA::DataSet::DeleteResults(), TMVA::PDEFoamEventDensity::Density(), TMVA::PDEFoamTargetDensity::Density(), TMVA::PDEFoamDiscriminantDensity::Density(), TMVA::DecisionTree::DescendTree(), TMVA::MethodBDT::DeterminePreselectionCuts(), TMVA::PDEFoam::Divide(), TMVA::PDEFoam::Draw1Dim(), TMVA::MethodCFMlpANN_Utils::Entree_new(), TMVA::RuleFitParams::ErrorRateBin(), TMVA::RuleFitParams::ErrorRateReg(), TMVA::RuleFitParams::ErrorRateRoc(), TMVA::RuleFitParams::ErrorRateRocTst(), TMVA::PDEFoamKernelTrivial::Estimate(), TMVA::PDEFoamKernelLinN::Estimate(), TMVA::PDEFoamKernelGauss::Estimate(), TMVA::Factory::EvaluateAllMethods(), TMVA::Factory::EvaluateAllVariables(), TMVA::RuleFitParams::EvaluateAverage(), TMVA::Reader::EvaluateMulticlass(), TMVA::Reader::EvaluateMVA(), TMVA::Reader::EvaluateRegression(), TMVA::DataSet::EventResult(), TMVA::PDEFoamDecisionTree::Explore(), TMVA::PDEFoam::Explore(), TMVA::BinarySearchTree::Fill(), TMVA::kNN::ModulekNN::Fill(), TMVA::PDEFoamDensityBase::FillBinarySearchTree(), TMVA::PDEFoamDecisionTreeDensity::FillHistograms(), TMVA::RuleFit::FillVisHistCorr(), TMVA::RuleFit::FillVisHistCut(), TMVA::PDEFoamDiscriminant::Finalize(), TMVA::kNN::ModulekNN::Find(), TMVA::RuleFitParams::FindGDTau(), TMVA::Reader::FindMVA(), TMVA::MethodBoost::FindMVACut(), TMVA::DataSetInfo::FindVarIndex(), TMVA::RuleFit::FitCoefficients(), TMVA::RuleFit::ForestStatistics(), TMVA::Tools::FormattedOutput(), TMVA::MethodKNN::GausKernel(), TMVA::SimulatedAnnealing::GenerateNewTemperature(), TMVA::MethodMLP::GeneticMinimize(), TMVA::ResultsMulticlass::GetBestMultiClassCuts(), TMVA::MethodBoost::GetBoostROCIntegral(), TMVA::PDEFoamMultiTarget::GetCellValue(), TMVA::PDEFoam::GetCellValue(), TMVA::MethodHMatrix::GetChi2(), TMVA::Tools::GetCorrelationMatrix(), TMVA::VariableGaussTransform::GetCumulativeDist(), TMVA::DataSetInfo::GetDataSet(), TMVA::MethodCuts::GetEfficiency(), TMVA::MethodBase::GetEfficiency(), TMVA::MethodCuts::GetEffsfromPDFs(), TMVA::MethodCuts::GetEffsfromSelection(), TMVA::Interval::GetElement(), TMVA::LogInterval::GetElement(), TMVA::MethodMLP::GetError(), TMVA::MethodFisher::GetFisherCoeff(), TMVA::DecisionTree::GetFisherCoefficients(), TMVA::OptimizeConfigParameters::GetFOM(), TMVA::MethodBayesClassifier::GetHelpMessage(), TMVA::MethodLD::GetHelpMessage(), TMVA::MethodKNN::GetHelpMessage(), TMVA::MethodTMlpANN::GetHelpMessage(), TMVA::MethodHMatrix::GetHelpMessage(), TMVA::MethodPyAdaBoost::GetHelpMessage(), TMVA::MethodRXGB::GetHelpMessage(), TMVA::MethodSVM::GetHelpMessage(), TMVA::MethodFisher::GetHelpMessage(), TMVA::MethodC50::GetHelpMessage(), TMVA::MethodFDA::GetHelpMessage(), TMVA::MethodRSNNS::GetHelpMessage(), TMVA::MethodLikelihood::GetHelpMessage(), TMVA::MethodPDERS::GetHelpMessage(), TMVA::MethodCategory::GetHelpMessage(), TMVA::MethodMLP::GetHelpMessage(), TMVA::MethodRSVM::GetHelpMessage(), TMVA::MethodRuleFit::GetHelpMessage(), TMVA::MethodPyGTB::GetHelpMessage(), TMVA::MethodCFMlpANN::GetHelpMessage(), TMVA::MethodPyRandomForest::GetHelpMessage(), TMVA::MethodCuts::GetHelpMessage(), TMVA::MethodBDT::GetHelpMessage(), TMVA::MethodPDEFoam::GetHelpMessage(), TMVA::MethodBoost::GetHelpMessage(), TMVA::Results::GetHist(), TMVA::Results::GetHist2D(), TMVA::PDF::GetHistNBins(), TMVA::VariableTransformBase::GetInput(), TMVA::PDF::GetIntegral(), TMVA::MethodKNN::getLDAValue(), TMVA::MethodLD::GetLDCoeff(), TMVA::MethodBase::GetLine(), TMVA::TransformationHandler::GetMax(), TMVA::MethodBase::GetMaximumSignificance(), TMVA::TransformationHandler::GetMean(), TMVA::Types::GetMethodName(), TMVA::Types::GetMethodType(), TMVA::Reader::GetMethodTypeFromFile(), TMVA::TransformationHandler::GetMin(), TMVA::MethodBase::GetMulticlassEfficiency(), TMVA::MethodBase::GetMulticlassTrainingEfficiency(), TMVA::QuickMVAProbEstimator::GetMVAProbAt(), TMVA::MethodPyGTB::GetMvaValue(), TMVA::MethodPyRandomForest::GetMvaValue(), TMVA::MethodPyAdaBoost::GetMvaValue(), TMVA::MethodKNN::GetMvaValue(), TMVA::MethodHMatrix::GetMvaValue(), TMVA::MethodBoost::GetMvaValue(), TMVA::MethodCategory::GetMvaValue(), TMVA::MethodLikelihood::GetMvaValue(), TMVA::MethodCuts::GetMvaValue(), TMVA::MethodMLP::GetMvaValue(), TMVA::MethodCFMlpANN::GetMvaValue(), TMVA::DataSet::GetNClassEvents(), TMVA::Reader::GetProba(), TMVA::MethodBase::GetProba(), TMVA::Reader::GetRarity(), TMVA::MethodBase::GetRarity(), TMVA::MethodBase::GetRegressionDeviation(), TMVA::MethodKNN::GetRegressionValues(), TMVA::MethodCategory::GetRegressionValues(), TMVA::MethodPDEFoam::GetRegressionValues(), TMVA::TransformationHandler::GetRMS(), TMVA::MethodKNN::getRMS(), TMVA::ROCCalc::GetROC(), TMVA::MethodBase::GetROCIntegral(), TMVA::MethodPDERS::GetSample(), TMVA::DecisionTreeNode::GetSampleMax(), TMVA::DecisionTreeNode::GetSampleMin(), TMVA::Tools::GetSeparation(), TMVA::MethodBase::GetSeparation(), TMVA::Tools::GetSQRootMatrix(), TMVA::Interval::GetStepSize(), TMVA::LogInterval::GetStepSize(), TMVA::BinarySearchTree::GetSumOfWeights(), TMVA::DataSetInfo::GetTestingSumBackgrWeights(), TMVA::DataSetInfo::GetTestingSumSignalWeights(), TMVA::MethodCuts::GetTrainingEfficiency(), TMVA::MethodBase::GetTrainingEfficiency(), TMVA::DataSetInfo::GetTrainingSumBackgrWeights(), TMVA::DataSetInfo::GetTrainingSumSignalWeights(), TMVA::VariableDecorrTransform::GetTransformationStrings(), TMVA::DataSet::GetTree(), TMVA::DecisionTree::GetVariableImportance(), TMVA::MethodBDT::GetVariableImportance(), TMVA::TSynapse::GetWeightedDelta(), TMVA::TSynapse::GetWeightedValue(), TMVA::Factory::Greetings(), TMVA::PDEFoam::Grow(), TMVA::RuleFitAPI::HowtoSetupRF(), TMVA::MethodC50::Init(), TMVA::MethodRSNNS::Init(), TMVA::MethodRSVM::Init(), TMVA::MethodRXGB::Init(), TMVA::MethodPyRandomForest::Init(), TMVA::MethodPyAdaBoost::Init(), TMVA::MethodPyGTB::Init(), TMVA::MinuitFitter::Init(), TMVA::RuleFitParams::Init(), TMVA::PDEFoam::InitCells(), TMVA::MethodBDT::InitEventSample(), TMVA::MethodRuleFit::InitEventSample(), TMVA::MethodPDEFoam::InitFoam(), TMVA::LDA::Initialize(), TMVA::MethodMLP::InitializeLearningRates(), TMVA::DataSetFactory::InitOptions(), TMVA::BinarySearchTree::Insert(), TMVA::VariableRearrangeTransform::InverseTransform(), TMVA::VariableNormalizeTransform::InverseTransform(), TMVA::VariableDecorrTransform::InverseTransform(), TMVA::VariableGaussTransform::InverseTransform(), TMVA::MethodPDERS::KernelNormalization(), TMVA::MethodMLP::LineSearch(), TMVA::MethodTMlpANN::MakeClass(), TMVA::MethodBase::MakeClass(), TMVA::Factory::MakeClass(), TMVA::MethodBDT::MakeClassInstantiateNode(), TMVA::MethodLikelihood::MakeClassSpecific(), TMVA::RuleCut::MakeCuts(), TMVA::RuleFit::MakeDebugHists(), TMVA::RuleFit::MakeForest(), TMVA::VariablePCATransform::MakeFunction(), TMVA::VariableGaussTransform::MakeFunction(), TMVA::VariableTransformBase::MakeFunction(), TMVA::RuleFitParams::MakeGDPath(), TMVA::RuleFitParams::MakeGradientVector(), TMVA::MethodKNN::MakeKNN(), TMVA::RuleEnsemble::MakeRuleMap(), TMVA::RuleEnsemble::MakeRules(), TMVA::RuleEnsemble::MakeTheRule(), TMVA::RuleFitParams::MakeTstGradientVector(), TMVA::RuleFit::MakeVisHists(), TMVA::MethodCuts::MatchCutsToPars(), TMVA::MethodBase::MethodBaseDir(), TMVA::MethodRSNNS::MethodRSNNS(), TMVA::SimulatedAnnealing::Minimize(), TMVA::DataSetFactory::MixEvents(), TMVA::MethodBoost::MonitorBoost(), TMVA::RuleFitAPI::OpenRFile(), TMVA::RuleFitParams::Optimism(), TMVA::OptimizeConfigParameters::optimize(), TMVA::CostComplexityPruneTool::Optimize(), TMVA::kNN::ModulekNN::Optimize(), TMVA::Factory::OptimizeAllMethods(), TMVA::OptimizeConfigParameters::optimizeFit(), TMVA::OptimizeConfigParameters::optimizeScan(), TMVA::MethodBDT::OptimizeTuningParameters(), TMVA::MethodBase::OptimizeTuningParameters(), TMVA::PDEFoam::OutputGrow(), TMVA::Tools::ParseANNOptionString(), TMVA::Configurable::ParseOptions(), TMVA::MethodCategory::PassesCut(), TMVA::PDEFoam::PDEFoam(), TMVA::PDEFoamDecisionTree::PDEFoamDecisionTree(), TMVA::PDEFoamDensityBase::PDEFoamDensityBase(), TMVA::PDEFoamDiscriminant::PDEFoamDiscriminant(), TMVA::PDEFoamEvent::PDEFoamEvent(), TMVA::PDEFoamMultiTarget::PDEFoamMultiTarget(), TMVA::PDEFoamTarget::PDEFoamTarget(), TMVA::PDEFoam::PeekMax(), TMVA::RuleFitParams::Penalty(), TMVA::TransformationHandler::PlotVariables(), TMVA::Factory::PrepareTrainingAndTestTree(), TMVA::VariableIdentityTransform::PrepareTransformation(), TMVA::VariableRearrangeTransform::PrepareTransformation(), TMVA::VariablePCATransform::PrepareTransformation(), TMVA::VariableNormalizeTransform::PrepareTransformation(), TMVA::VariableDecorrTransform::PrepareTransformation(), TMVA::VariableGaussTransform::PrepareTransformation(), TMVA::MethodBDT::PreProcessNegativeEventWeights(), TMVA::Ranking::Print(), TMVA::Volume::Print(), TMVA::GeneticPopulation::Print(), TMVA::kNN::ModulekNN::Print(), TMVA::RuleEnsemble::Print(), TMVA::TNeuron::PrintActivationEqn(), TMVA::PDEFoam::PrintCell(), TMVA::DataSetInfo::PrintClasses(), TMVA::MethodFisher::PrintCoefficients(), TMVA::MethodLD::PrintCoefficients(), TMVA::DataSetInfo::PrintCorrelationMatrix(), TMVA::MethodCuts::PrintCuts(), TMVA::MethodBase::PrintHelpMessage(), TMVA::Factory::PrintHelpMessage(), TMVA::MethodANNBase::PrintLayer(), TMVA::TNeuron::PrintLinks(), TMVA::Rule::PrintLogger(), TMVA::TNeuron::PrintMessage(), TMVA::MethodANNBase::PrintMessage(), TMVA::MethodANNBase::PrintNetwork(), TMVA::MethodANNBase::PrintNeuron(), TMVA::Configurable::PrintOptions(), TMVA::MethodFDA::PrintResults(), TMVA::RuleEnsemble::PrintRuleGen(), TMVA::VariableNormalizeTransform::PrintTransformation(), TMVA::VariableDecorrTransform::PrintTransformation(), TMVA::VariableGaussTransform::PrintTransformation(), TMVA::TransformationHandler::PrintVariableRanking(), TMVA::MethodBase::ProcessBaseOptions(), TMVA::MethodRSNNS::ProcessOptions(), TMVA::MethodC50::ProcessOptions(), TMVA::MethodPyAdaBoost::ProcessOptions(), TMVA::MethodPyGTB::ProcessOptions(), TMVA::MethodPyRandomForest::ProcessOptions(), TMVA::MethodDT::ProcessOptions(), TMVA::MethodKNN::ProcessOptions(), TMVA::MethodTMlpANN::ProcessOptions(), TMVA::MethodSVM::ProcessOptions(), TMVA::PDF::ProcessOptions(), TMVA::MethodBDT::ProcessOptions(), TMVA::MethodFDA::ProcessOptions(), TMVA::MethodMLP::ProcessOptions(), TMVA::MethodCuts::ProcessOptions(), TMVA::MethodPDERS::ProcessOptions(), TMVA::MethodCFMlpANN::ProcessOptions(), TMVA::MethodRuleFit::ProcessOptions(), TMVA::MethodPDEFoam::ProcessOptions(), TMVA::PDEFoamDiscriminant::Project2(), TMVA::PDEFoam::Project2(), TMVA::DecisionTree::PruneTree(), TMVA::PyMethodBase::PyInitialize(), TMVA::Tools::ReadAttr(), TMVA::MethodPDEFoam::ReadClonedFoamFromFile(), TMVA::MethodPDEFoam::ReadFoamsFromFile(), TMVA::TransformationHandler::ReadFromStream(), TMVA::VariableRearrangeTransform::ReadFromXML(), TMVA::TransformationHandler::ReadFromXML(), TMVA::VariableTransformBase::ReadFromXML(), TMVA::Rule::ReadFromXML(), TMVA::DataInputHandler::ReadInputTree(), TMVA::RuleFitAPI::ReadModelSum(), TMVA::MethodBase::ReadSpectatorsFromXML(), TMVA::MethodRSVM::ReadStateFromFile(), TMVA::MethodRSNNS::ReadStateFromFile(), TMVA::MethodPyGTB::ReadStateFromFile(), TMVA::MethodPyRandomForest::ReadStateFromFile(), TMVA::MethodC50::ReadStateFromFile(), TMVA::MethodPyAdaBoost::ReadStateFromFile(), TMVA::MethodRXGB::ReadStateFromFile(), TMVA::MethodBase::ReadStateFromFile(), TMVA::MethodBase::ReadStateFromStream(), TMVA::MethodBase::ReadStateFromXML(), TMVA::MethodBase::ReadStateFromXMLString(), TMVA::Tools::ReadTMatrixDFromXML(), TMVA::VariablePCATransform::ReadTransformationFromStream(), TMVA::MethodBase::ReadVariablesFromXML(), TMVA::MethodBase::ReadVarsFromStream(), TMVA::MethodTMlpANN::ReadWeightsFromStream(), TMVA::MethodCompositeBase::ReadWeightsFromStream(), TMVA::MethodSVM::ReadWeightsFromStream(), TMVA::MethodKNN::ReadWeightsFromStream(), TMVA::MethodLikelihood::ReadWeightsFromStream(), TMVA::MethodPDERS::ReadWeightsFromStream(), TMVA::MethodBDT::ReadWeightsFromStream(), TMVA::MethodCuts::ReadWeightsFromStream(), TMVA::MethodCFMlpANN::ReadWeightsFromStream(), TMVA::MethodCompositeBase::ReadWeightsFromXML(), TMVA::MethodLD::ReadWeightsFromXML(), TMVA::MethodFDA::ReadWeightsFromXML(), TMVA::MethodCategory::ReadWeightsFromXML(), TMVA::MethodLikelihood::ReadWeightsFromXML(), TMVA::MethodPDERS::ReadWeightsFromXML(), TMVA::MethodCuts::ReadWeightsFromXML(), TMVA::MethodANNBase::ReadWeightsFromXML(), TMVA::MethodPDEFoam::ReadWeightsFromXML(), TMVA::PDF::ReadXML(), TMVA::RuleFitAPI::ReadYhat(), TMVA::RuleEnsemble::RemoveSimilarRules(), TMVA::DataSetFactory::RenormEvents(), TMVA::MethodBDT::Reset(), TMVA::PDEFoam::ResetCellElements(), TMVA::RuleFit::RestoreEventWeights(), TMVA::RuleFitParams::Risk(), TMVA::RuleFitParams::RiskPerfTst(), TMVA::ROCCalc::ROCCalc(), TMVA::ROCCalc::Root(), TMVA::RootFinder::Root(), TMVA::PDEFoam::RootPlot2dim(), TMVA::Tools::ROOTVersionMessage(), TMVA::MCFitter::Run(), TMVA::MinuitFitter::Run(), TMVA::GeneticFitter::Run(), TMVA::SimulatedAnnealingFitter::Run(), TMVA::DecisionTree::SamplePurity(), TMVA::kNN::ModulekNN::Scale(), TMVA::BinarySearchTree::SearchVolume(), TMVA::BinarySearchTree::SearchVolumeWithMaxLimit(), TMVA::VariableTransformBase::SelectInput(), TMVA::DecisionTreeNode::SetCC(), TMVA::PDEFoam::SetCellElement(), TMVA::RuleEnsemble::SetCoefficients(), TMVA::SimulatedAnnealing::SetDefaultScale(), TMVA::PDEFoam::SetDim(), TMVA::PDEFoam::SetInhiDiv(), TMVA::KDEKernel::SetKernelType(), TMVA::MethodDT::SetMinNodeSize(), TMVA::MethodBDT::SetMinNodeSize(), TMVA::SimulatedAnnealing::SetOptions(), TMVA::VariableTransformBase::SetOutput(), TMVA::DecisionTree::SetParentTreeInNodes(), TMVA::DecisionTreeNode::SetPurity(), TMVA::BinaryTree::SetTotalTreeDepth(), TMVA::RuleFit::SetTrainingEvents(), TMVA::MethodBDT::SetTuneParameters(), TMVA::MethodBase::SetupMethod(), TMVA::Option< T >::SetValueLocal(), TMVA::MethodPDERS::SetVolumeElement(), TMVA::DataSetInfo::SetWeightExpression(), TMVA::PDEFoam::SetXmax(), TMVA::PDEFoam::SetXmin(), TMVA::MethodPDEFoam::SetXminXmax(), TMVA::MethodBoost::SingleBoost(), TMVA::MethodBase::Statistics(), TMVA::Results::Store(), TMVA::SVKernelMatrix::SVKernelMatrix(), TMVA::Factory::TestAllMethods(), TMVA::MethodRXGB::TestClassification(), TMVA::MethodC50::TestClassification(), TMVA::MethodRSNNS::TestClassification(), TMVA::MethodRSVM::TestClassification(), TMVA::MethodBase::TestClassification(), TMVA::MethodBase::TestMulticlass(), TMVA::DecisionTree::TestPrunedTreeQuality(), TMVA::Tools::TMVACitation(), TMVA::Tools::TMVAVersionMessage(), TMVA::Tools::TMVAWelcomeMessage(), TMVA::MethodRXGB::Train(), TMVA::MethodRSVM::Train(), TMVA::MethodC50::Train(), TMVA::MethodRSNNS::Train(), TMVA::MethodPyRandomForest::Train(), TMVA::MethodPyAdaBoost::Train(), TMVA::MethodPyGTB::Train(), TMVA::SVWorkingSet::Train(), TMVA::MethodTMlpANN::Train(), TMVA::MethodDT::Train(), TMVA::MethodKNN::Train(), TMVA::MethodSVM::Train(), TMVA::MethodCategory::Train(), TMVA::MethodBoost::Train(), TMVA::MethodHMatrix::Train(), TMVA::MethodFDA::Train(), TMVA::MethodLikelihood::Train(), TMVA::MethodPDERS::Train(), TMVA::MethodBDT::Train(), TMVA::MethodCuts::Train(), TMVA::MethodCFMlpANN::Train(), TMVA::MethodPDEFoam::Train(), TMVA::MethodMLP::Train(), TMVA::Factory::TrainAllMethods(), TMVA::MethodRuleFit::TrainJFRuleFit(), TMVA::MethodBase::TrainMethod(), TMVA::MethodPDEFoam::TrainMonoTargetRegression(), TMVA::MethodPDEFoam::TrainMultiClassification(), TMVA::MethodPDEFoam::TrainMultiTargetRegression(), TMVA::DecisionTree::TrainNodeFast(), TMVA::DecisionTree::TrainNodeFull(), TMVA::MethodPDEFoam::TrainSeparatedClassification(), TMVA::MethodRuleFit::TrainTMVARuleFit(), TMVA::MethodPDEFoam::TrainUnifiedClassification(), TMVA::VariableRearrangeTransform::Transform(), TMVA::VariablePCATransform::Transform(), TMVA::VariableNormalizeTransform::Transform(), TMVA::VariableDecorrTransform::Transform(), TMVA::TransformationHandler::Transform(), TMVA::VariableGaussTransform::Transform(), TMVA::Tools::TransposeHist(), TMVA::MethodPDEFoam::UIntToKernel(), TMVA::MethodPDEFoam::UIntToTargetSelection(), TMVA::MethodMLP::UpdateNetwork(), TMVA::MethodMLP::UpdateRegulators(), TMVA::PDF::ValidatePDF(), TMVA::PDEFoam::Varedu(), TMVA::MethodRuleFit::VerifyRange(), TMVA::PDEFoamKernelLinN::WeightLinNeighbors(), TMVA::RuleFitAPI::WelcomeMessage(), TMVA::Factory::WriteDataInformation(), TMVA::MethodBase::WriteEvaluationHistosToFile(), TMVA::MethodPDEFoam::WriteFoamsToFile(), TMVA::MethodRuleFit::WriteMonitoringHistosToFile(), TMVA::MethodLikelihood::WriteMonitoringHistosToFile(), TMVA::MethodBDT::WriteMonitoringHistosToFile(), TMVA::MethodCuts::WriteMonitoringHistosToFile(), TMVA::Configurable::WriteOptionsReferenceToFile(), TMVA::RuleFitAPI::WriteRfOut(), TMVA::RuleFitAPI::WriteRfStatus(), TMVA::RuleFitAPI::WriteRuleFitMod(), TMVA::RuleFitAPI::WriteRuleFitSum(), TMVA::MethodBase::WriteStateToFile(), TMVA::RuleFitAPI::WriteTest(), TMVA::RuleFitAPI::WriteTrain(), TMVA::VariableGaussTransform::WriteTransformationToStream(), TMVA::RuleFitAPI::WriteVarImp(), TMVA::MethodKNN::WriteWeightsToStream(), TMVA::RuleFitAPI::WriteYhat(), TMVA::MethodBase::~MethodBase(), and TMVA::MethodCompositeBase::~MethodCompositeBase().

void TMVA::exampleGA ( )

Definition at line 55 of file TMVAGAexample2.C.

Referenced by TMVAGAexample2().

void TMVA::exampleGA2nd ( )

Definition at line 77 of file TMVAGAexample.C.

Referenced by TMVAGAexample().

Config& TMVA::gConfig ( )

Referenced by ClassImp(), TMVA::Tools::Color(), correlations(), correlationscatters(), correlationscattersMultiClass(), correlationsMultiClass(), TMVA::MethodBoost::CreateMVAHistorgrams(), TMVA::Timer::DrawProgressBar(), TMVA::MethodBoost::GetBoostROCIntegral(), TMVA::MethodTMlpANN::GetHelpMessage(), TMVA::MethodFDA::GetHelpMessage(), TMVA::MethodMLP::GetHelpMessage(), TMVA::MethodRuleFit::GetHelpMessage(), TMVA::MethodCuts::GetHelpMessage(), TMVA::MethodBase::GetWeightFileName(), TMVA::TMVAGlob::imgconv(), TMVA::Reader::Init(), TMVA::MethodBase::InitBase(), TMVA::MethodBase::MethodBase(), TMVA::MethodC50::MethodC50(), TMVA::MethodPyAdaBoost::MethodPyAdaBoost(), TMVA::MethodPyGTB::MethodPyGTB(), TMVA::MethodPyRandomForest::MethodPyRandomForest(), TMVA::MethodRSNNS::MethodRSNNS(), TMVA::MethodRSVM::MethodRSVM(), TMVA::MethodRXGB::MethodRXGB(), TMVA::Configurable::ParseOptions(), TMVA::TransformationHandler::PlotVariables(), TMVA::MethodBase::PrintHelpMessage(), TMVA::MethodPDEFoam::ReadFoamsFromFile(), TMVA::TMVAGlob::SetTMVAStyle(), TMVA::MethodPDEFoam::WriteFoamsToFile(), TMVA::MsgLogger::WriteMsg(), and TMVA::Configurable::WriteOptionsReferenceToFile().

TString * TMVA::get_var_names ( Int_t  nVars)

Definition at line 222 of file network.cxx.

Referenced by draw_input_labels().

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

Definition at line 20 of file TMVAGui.cxx.

Referenced by TMVAGui().

TMVA::Tools & TMVA::gTools ( )

Definition at line 79 of file Tools.cxx.

Referenced by TMVA::Tools::AddAttr(), TMVA::BinarySearchTreeNode::AddAttributesToNode(), TMVA::DecisionTreeNode::AddAttributesToNode(), TMVA::Tools::AddChild(), TMVA::MethodBase::AddClassesXMLTo(), TMVA::Tools::AddComment(), TMVA::MethodBase::AddInfoItem(), TMVA::Configurable::AddOptionsXMLTo(), TMVA::MethodBase::AddSpectatorsXMLTo(), TMVA::MethodBase::AddTargetsXMLTo(), TMVA::VariableInfo::AddToXML(), TMVA::MethodBase::AddVarsXMLTo(), TMVA::MethodCompositeBase::AddWeightsXMLTo(), TMVA::MethodTMlpANN::AddWeightsXMLTo(), TMVA::MethodFisher::AddWeightsXMLTo(), TMVA::MethodSVM::AddWeightsXMLTo(), TMVA::MethodHMatrix::AddWeightsXMLTo(), TMVA::MethodKNN::AddWeightsXMLTo(), TMVA::MethodLD::AddWeightsXMLTo(), TMVA::MethodFDA::AddWeightsXMLTo(), TMVA::MethodLikelihood::AddWeightsXMLTo(), TMVA::MethodCategory::AddWeightsXMLTo(), TMVA::MethodPDERS::AddWeightsXMLTo(), TMVA::MethodBDT::AddWeightsXMLTo(), TMVA::MethodCuts::AddWeightsXMLTo(), TMVA::MethodCFMlpANN::AddWeightsXMLTo(), TMVA::MethodANNBase::AddWeightsXMLTo(), TMVA::MethodPDEFoam::AddWeightsXMLTo(), TMVA::PDF::AddXMLTo(), TMVA::TransformationHandler::AddXMLTo(), TMVA::Node::AddXMLTo(), TMVA::BinaryTree::AddXMLTo(), TMVA::Rule::AddXMLTo(), TMVA::RuleEnsemble::AddXMLTo(), TMVA::VariableRearrangeTransform::AttachXMLTo(), TMVA::VariablePCATransform::AttachXMLTo(), TMVA::VariableNormalizeTransform::AttachXMLTo(), TMVA::VariableDecorrTransform::AttachXMLTo(), TMVA::VariableGaussTransform::AttachXMLTo(), TMVA::VariableTransformBase::AttachXMLTo(), TMVA::Factory::BookMethod(), TMVA::VariableDecorrTransform::CalcSQRMats(), ClassImp(), TMVA::MethodCategory::CreateCategoryDSI(), TMVA::BinarySearchTree::CreateFromXML(), TMVA::DecisionTree::CreateFromXML(), TMVA::ResultsMulticlass::CreateMulticlassHistos(), TMVA::MethodBoost::CreateMVAHistorgrams(), TMVA::MethodBase::CreateMVAPdfs(), TMVA::MethodLikelihood::CreateRanking(), TMVA::MethodANNBase::CreateRanking(), TMVA::MethodBase::CreateVariableTransforms(), TMVA::Reader::DeclareOptions(), TMVA::Timer::DrawProgressBar(), TMVA::RuleFitParams::ErrorRateRoc(), TMVA::Factory::EvaluateAllMethods(), TMVA::RuleFit::ForestStatistics(), TMVA::MethodBoost::GetBoostROCIntegral(), TMVA::MethodCuts::GetEfficiency(), TMVA::MethodBase::GetEfficiency(), TMVA::MethodBayesClassifier::GetHelpMessage(), TMVA::MethodLD::GetHelpMessage(), TMVA::MethodKNN::GetHelpMessage(), TMVA::MethodTMlpANN::GetHelpMessage(), TMVA::MethodHMatrix::GetHelpMessage(), TMVA::MethodPyAdaBoost::GetHelpMessage(), TMVA::MethodRXGB::GetHelpMessage(), TMVA::MethodSVM::GetHelpMessage(), TMVA::MethodFisher::GetHelpMessage(), TMVA::MethodC50::GetHelpMessage(), TMVA::MethodFDA::GetHelpMessage(), TMVA::MethodRSNNS::GetHelpMessage(), TMVA::MethodLikelihood::GetHelpMessage(), TMVA::MethodPDERS::GetHelpMessage(), TMVA::MethodCategory::GetHelpMessage(), TMVA::MethodMLP::GetHelpMessage(), TMVA::MethodRSVM::GetHelpMessage(), TMVA::MethodRuleFit::GetHelpMessage(), TMVA::MethodPyGTB::GetHelpMessage(), TMVA::MethodCFMlpANN::GetHelpMessage(), TMVA::MethodPyRandomForest::GetHelpMessage(), TMVA::MethodCuts::GetHelpMessage(), TMVA::MethodBDT::GetHelpMessage(), TMVA::MethodPDEFoam::GetHelpMessage(), TMVA::MethodBoost::GetHelpMessage(), TMVA::Reader::GetMethodTypeFromFile(), TMVA::StatDialogBDTReg::GetNtrees(), TMVA::StatDialogBDT::GetNtrees(), TMVA::MethodBDT::GetRegressionValues(), TMVA::ROCCalc::GetROC(), TMVA::OptimizeConfigParameters::GetSeparation(), TMVA::MethodBase::GetSeparation(), TMVA::MethodCuts::GetTrainingEfficiency(), TMVA::MethodBase::GetTrainingEfficiency(), TMVA::Factory::Greetings(), TMVA::MethodBase::MakeClass(), TMVA::VariableGaussTransform::MakeFunction(), TMVA::RuleEnsemble::MakeRules(), TMVA::TransformationHandler::PlotVariables(), TMVA::MethodBDT::PreProcessNegativeEventWeights(), TMVA::MethodFisher::PrintCoefficients(), TMVA::MethodLD::PrintCoefficients(), TMVA::DataSetInfo::PrintCorrelationMatrix(), TMVA::MethodBase::PrintHelpMessage(), TMVA::MethodFDA::PrintResults(), TMVA::MethodFDA::ProcessOptions(), TMVA::MethodRuleFit::ProcessOptions(), TMVA::BinarySearchTreeNode::ReadAttributes(), TMVA::DecisionTreeNode::ReadAttributes(), TMVA::MethodBase::ReadClassesFromXML(), TMVA::MethodPDEFoam::ReadFoamsFromFile(), TMVA::VariableRearrangeTransform::ReadFromXML(), TMVA::VariablePCATransform::ReadFromXML(), TMVA::VariableNormalizeTransform::ReadFromXML(), TMVA::VariableDecorrTransform::ReadFromXML(), TMVA::VariableInfo::ReadFromXML(), TMVA::TransformationHandler::ReadFromXML(), TMVA::VariableGaussTransform::ReadFromXML(), TMVA::VariableTransformBase::ReadFromXML(), TMVA::Rule::ReadFromXML(), TMVA::RuleEnsemble::ReadFromXML(), TMVA::Configurable::ReadOptionsFromXML(), TMVA::MethodBase::ReadSpectatorsFromXML(), TMVA::MethodRSNNS::ReadStateFromFile(), TMVA::MethodRSVM::ReadStateFromFile(), TMVA::MethodPyGTB::ReadStateFromFile(), TMVA::MethodC50::ReadStateFromFile(), TMVA::MethodPyRandomForest::ReadStateFromFile(), TMVA::MethodRXGB::ReadStateFromFile(), TMVA::MethodPyAdaBoost::ReadStateFromFile(), TMVA::MethodBase::ReadStateFromFile(), TMVA::MethodBase::ReadStateFromXML(), TMVA::MethodBase::ReadStateFromXMLString(), TMVA::MethodBase::ReadTargetsFromXML(), TMVA::StatDialogBDTReg::ReadTree(), TMVA::StatDialogBDT::ReadTree(), TMVA::MethodBase::ReadVariablesFromXML(), TMVA::MethodCompositeBase::ReadWeightsFromXML(), TMVA::MethodTMlpANN::ReadWeightsFromXML(), TMVA::MethodFisher::ReadWeightsFromXML(), TMVA::MethodKNN::ReadWeightsFromXML(), TMVA::MethodLD::ReadWeightsFromXML(), TMVA::MethodSVM::ReadWeightsFromXML(), TMVA::MethodHMatrix::ReadWeightsFromXML(), TMVA::MethodFDA::ReadWeightsFromXML(), TMVA::MethodCategory::ReadWeightsFromXML(), TMVA::MethodLikelihood::ReadWeightsFromXML(), TMVA::MethodPDERS::ReadWeightsFromXML(), TMVA::MethodBDT::ReadWeightsFromXML(), TMVA::MethodCuts::ReadWeightsFromXML(), TMVA::MethodCFMlpANN::ReadWeightsFromXML(), TMVA::MethodANNBase::ReadWeightsFromXML(), TMVA::MethodPDEFoam::ReadWeightsFromXML(), TMVA::PDF::ReadXML(), TMVA::Node::ReadXML(), TMVA::BinaryTree::ReadXML(), TMVA::RuleFitParams::RiskPerfTst(), TMVA::RuleEnsemble::RuleStatistics(), TMVA::Volume::Scale(), TMVA::Timer::SecToText(), TMVA::VariableTransformBase::SelectInput(), TMVA::MethodBase::TestClassification(), TMVA::MethodBase::TestRegression(), TMVA::Tools::TMVACitation(), TMVAClassification(), TMVAClassificationApplication(), TMVAMulticlass(), TMVAMulticlassApplication(), TMVARegression(), TMVARegressionApplication(), TMVA::MethodRSVM::Train(), TMVA::MethodRXGB::Train(), TMVA::MethodRSNNS::Train(), TMVA::MethodC50::Train(), TMVA::MethodPyGTB::Train(), TMVA::MethodPyAdaBoost::Train(), TMVA::MethodPyRandomForest::Train(), TMVA::DecisionTree::TrainNodeFast(), TMVA::MethodMLP::TrainOneEventFast(), TMVA::VariableInfo::VariableInfo(), TMVA::Factory::WriteDataInformation(), TMVA::MethodPDEFoam::WriteFoamsToFile(), TMVA::MethodBase::WriteStateToFile(), and TMVA::MethodBase::WriteStateToXML().

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

Definition at line 91 of file DataSetFactory.cxx.

void TMVA::likelihoodrefs ( TDirectory *  lhdir)

Definition at line 15 of file likelihoodrefs.cxx.

Referenced by likelihoodrefs().

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

Definition at line 173 of file likelihoodrefs.cxx.

void TMVA::MaximizeSignificance ( )

Definition at line 399 of file TMVAMultipleBackgroundExample.C.

Referenced by TMVAMultipleBackgroundExample().

void TMVA::MovieMaker ( 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.

Referenced by TMVAMultiClassGui().

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

Definition at line 18 of file TMVAMultiClassGui.cxx.

Referenced by TMVAMultiClassGui().

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

Definition at line 512 of file mvaeffs.cxx.

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

Definition at line 16 of file mvas.cxx.

Referenced by paracoor().

void TMVA::mvasMulticlass ( 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  fin = "TMVA.root",
Bool_t  useTMVAStyle = kTRUE 
)

Definition at line 418 of file network.cxx.

template<typename F >
null_t<F> TMVA::null ( )
inline

Definition at line 144 of file DataSetFactory.h.

Referenced by RooStats::HypoTestPlot::ApplyDefaultStyle(), RooStats::HypoTestPlot::ApplyResult(), RooStats::LikelihoodIntervalPlot::Draw(), RooMomentMorph::getCache(), TOCCToStep::GetLabelOfVolume(), TApplication::GetOptions(), TGLSurfacePainter::GetPlotInfo(), ApplicationWindow::load(), RooStats::SimpleLikelihoodRatioTestStat::ParamsAreEqual(), RooStats::HypoTestResult::SetNullDistribution(), stdVectorAlignment(), TMVA::SVWorkingSet::TakeStepReg(), and TGHtml::Tokenize().

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 Node &  node 
)

output operator for a node

Definition at line 131 of file Node.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 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 403 of file Event.cxx.

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

print the tree recursinvely using the << operator

Definition at line 157 of file BinaryTree.cxx.

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

std::ostream operator

Definition at line 1429 of file RuleEnsemble.cxx.

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

write the pdf

Definition at line 1031 of file PDF.cxx.

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

read the tree from an std::istream

Definition at line 203 of file BinaryTree.cxx.

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

read the tree from an std::istream

Definition at line 1069 of file PDF.cxx.

void TMVA::paracoor ( 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.

Referenced by Plot().

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

Definition at line 8 of file efficiencies.cxx.

Referenced by efficiencies().

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.

Referenced by Plot().

void TMVA::probas ( 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.

Referenced by TMVARegGui().

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

Definition at line 14 of file TMVARegGui.cxx.

Referenced by TMVARegGui().

void TMVA::regression_averagedevs ( 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.

Referenced by rulevis().

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")

Definition at line 52 of file TMVAGui.cxx.

Referenced by TMVAClassification(), TMVAClassificationCategory(), and TMVA::TMVAGUI::TMVAGUI().

void TMVA::TMVAMultiClassGui ( const char *  fName = "TMVAMulticlass.root")

Definition at line 50 of file TMVAMultiClassGui.cxx.

Referenced by TMVAMulticlass().

void TMVA::TMVARegGui ( const char *  fName = "TMVAReg.root")

Definition at line 46 of file TMVARegGui.cxx.

Referenced by TMVARegression().

void TMVA::Training ( )

Definition at line 45 of file TMVAMultipleBackgroundExample.C.

Referenced by TMVAMultipleBackgroundExample().

void TMVA::variables ( 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.

Referenced by TMVA::MethodCategory::CreateCategoryDSI(), TMVA::MethodBase::CreateVariableTransforms(), TFitEditor::DoDataSet(), TFitEditor::DoFit(), TFormula::HandleParametrizedFunctions(), TTreeDrawArgsParser::ParseVarExp(), RooDataSet::read(), TMVA::VariableTransformBase::SelectInput(), TFitEditor::SetObjectType(), and TTreeDrawArgsParser::SplitVariables().

void TMVA::variablesMultiClass ( 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 120 of file BDT.h.

Referenced by BDT(), and BDT_DeleteTBar().

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

Definition at line 104 of file BDT_Reg.h.

Referenced by BDT_Reg(), and BDTReg_DeleteTBar().

const Bool_t TMVA::GeneticAlgorithm__DEBUG__ = kFALSE

Definition at line 49 of file GeneticAlgorithm.cxx.

Referenced by TMVA::GeneticAlgorithm::HasConverged(), and TMVA::GeneticAlgorithm::SpreadControl().

const Int_t TMVA::kBkgColorF = TColor::GetColor( "#FF0000" )
static

Definition at line 44 of file BDT.h.

Referenced by TMVA::StatDialogBDTReg::DrawNode(), and TMVA::StatDialogBDT::DrawTree().

const Int_t TMVA::kBkgColorT = 10
static

Definition at line 49 of file BDT.h.

Referenced by TMVA::StatDialogBDTReg::DrawNode(), and TMVA::StatDialogBDT::DrawTree().

const Int_t TMVA::kIntColorF = TColor::GetColor( "#33aa77" )
static

Definition at line 45 of file BDT.h.

Referenced by TMVA::StatDialogBDTReg::DrawNode(), and TMVA::StatDialogBDTReg::DrawTree().

const Int_t TMVA::kIntColorT = 10
static

Definition at line 50 of file BDT.h.

Referenced by TMVA::StatDialogBDTReg::DrawNode(), and TMVA::StatDialogBDTReg::DrawTree().

const Int_t TMVA::kSigColorF = TColor::GetColor( "#0000FF" )
static

Definition at line 43 of file BDT.h.

Referenced by TMVA::StatDialogBDTReg::DrawNode(), TMVA::StatDialogBDTReg::DrawTree(), and TMVA::StatDialogBDT::DrawTree().

const Int_t TMVA::kSigColorT = 10
static

Definition at line 48 of file BDT.h.

Referenced by TMVA::StatDialogBDTReg::DrawNode(), TMVA::StatDialogBDTReg::DrawTree(), and TMVA::StatDialogBDT::DrawTree().

const int TMVA::max_Events_ = 200000

Definition at line 38 of file MethodCFMlpANN_def.h.

Referenced by TMVA::MethodCFMlpANN_Utils::Entree_new(), TMVA::MethodCFMlpANN_Utils::MethodCFMlpANN_Utils(), TMVA::MethodCFMlpANN_Utils::TestNN(), and TMVA::MethodCFMlpANN_Utils::Train_nn().

const int TMVA::max_nLayers_ = 6

Definition at line 39 of file MethodCFMlpANN_def.h.

Referenced by TMVA::MethodCFMlpANN_Utils::Entree_new(), TMVA::MethodCFMlpANN_Utils::MethodCFMlpANN_Utils(), TMVA::MethodCFMlpANN_Utils::TestNN(), TMVA::MethodCFMlpANN_Utils::Train_nn(), TMVA::MethodCFMlpANN_Utils::W_ref(), and TMVA::MethodCFMlpANN_Utils::Ww_ref().

const int TMVA::max_nNodes_ = 200

Definition at line 40 of file MethodCFMlpANN_def.h.

Referenced by TMVA::MethodCFMlpANN_Utils::Entree_new(), TMVA::MethodCFMlpANN_Utils::GraphNN(), TMVA::MethodCFMlpANN_Utils::Leclearn(), TMVA::MethodCFMlpANN_Utils::MethodCFMlpANN_Utils(), TMVA::MethodCFMlpANN_Utils::TestNN(), TMVA::MethodCFMlpANN_Utils::Train_nn(), and TMVA::MethodCFMlpANN_Utils::W_ref().

const int TMVA::max_nVar_ = 200

Definition at line 41 of file MethodCFMlpANN_def.h.

Referenced by TMVA::MethodCFMlpANN_Utils::Lecev2(), TMVA::MethodCFMlpANN_Utils::Leclearn(), TMVA::MethodCFMlpANN_Utils::MethodCFMlpANN_Utils(), TMVA::MethodCFMlpANN_Utils::TestNN(), and TMVA::MethodCFMlpANN_Utils::Train_nn().

const Bool_t TMVA::MethodPDERS_UseFindRoot = kFALSE

Definition at line 96 of file MethodPDERS.cxx.

Referenced by TMVA::MethodPDERS::GetSample().