TMVA::DecisionTree

TMVA::DecisionTree Class Reference

#include <DecisionTree.h>

Inheritance diagram for TMVA::DecisionTree:

TMVA::BinaryTree TMVA::BinaryTree List of all members.

Public Types

enum  EPruneMethod
enum  EPruneMethod
typedef std::vector< TMVA::Event * > EventList
typedef std::vector< TMVA::Event * > EventList

Public Member Functions

 DecisionTree (void)
 DecisionTree (SeparationBase *sepType, Int_t minSize, Int_t nCuts, UInt_t cls=0, Bool_t randomisedTree=kFALSE, Int_t useNvars=0, Bool_t usePoissonNvars=kFALSE, UInt_t nNodesMax=999999, UInt_t nMaxDepth=9999999, Int_t iSeed=fgRandomSeed, Float_t purityLimit=0.5, Int_t treeID=0)
 DecisionTree (const DecisionTree &d)
virtual ~DecisionTree (void)
virtual DecisionTreeNode * GetRoot () const
virtual DecisionTreeNode * CreateNode (UInt_t) const
virtual BinaryTree * CreateTree () const
virtual const char * ClassName () const
UInt_t BuildTree (const EventList &eventSample, DecisionTreeNode *node=NULL)
Double_t TrainNode (const EventList &eventSample, DecisionTreeNode *node)
Double_t TrainNodeFast (const EventList &eventSample, DecisionTreeNode *node)
Double_t TrainNodeFull (const EventList &eventSample, DecisionTreeNode *node)
void GetRandomisedVariables (Bool_t *useVariable, UInt_t *variableMap, UInt_t &nVars)
std::vector< Double_t > GetFisherCoefficients (const EventList &eventSample, UInt_t nFisherVars, UInt_t *mapVarInFisher)
void FillTree (EventList &eventSample)
void FillEvent (TMVA::Event &event, TMVA::DecisionTreeNode *node)
Double_t CheckEvent (const TMVA::Event &, Bool_t UseYesNoLeaf=kFALSE) const
TMVA::DecisionTreeNode * GetEventNode (const TMVA::Event &e) const
std::vector< Double_t > GetVariableImportance ()
Double_t GetVariableImportance (UInt_t ivar)
void ClearTree ()
void SetPruneMethod (EPruneMethod m=kCostComplexityPruning)
Double_t PruneTree (EventList *validationSample=NULL)
void SetPruneStrength (Double_t p)
Double_t GetPruneStrength () const
void ApplyValidationSample (const EventList *validationSample) const
Double_t TestPrunedTreeQuality (const DecisionTreeNode *dt=NULL, Int_t mode=0) const
void CheckEventWithPrunedTree (const TMVA::Event &) const
Double_t GetSumWeights (const EventList *validationSample) const
void SetNodePurityLimit (Double_t p)
Double_t GetNodePurityLimit () const
void DescendTree (Node *n=NULL)
void SetParentTreeInNodes (Node *n=NULL)
Node * GetNode (ULong_t sequence, UInt_t depth)
UInt_t CleanTree (DecisionTreeNode *node=NULL)
void PruneNode (TMVA::DecisionTreeNode *node)
void PruneNodeInPlace (TMVA::DecisionTreeNode *node)
UInt_t CountLeafNodes (TMVA::Node *n=NULL)
void SetTreeID (Int_t treeID)
Int_t GetTreeID ()
Bool_t DoRegression () const
void SetAnalysisType (Types::EAnalysisType t)
Types::EAnalysisType GetAnalysisType (void)
void SetUseFisherCuts (Bool_t t=kTRUE)
void SetMinLinCorrForFisher (Double_t min)
void SetUseExclusiveVars (Bool_t t=kTRUE)
 DecisionTree (void)
 DecisionTree (SeparationBase *sepType, Int_t minSize, Int_t nCuts, UInt_t cls=0, Bool_t randomisedTree=kFALSE, Int_t useNvars=0, Bool_t usePoissonNvars=kFALSE, UInt_t nNodesMax=999999, UInt_t nMaxDepth=9999999, Int_t iSeed=fgRandomSeed, Float_t purityLimit=0.5, Int_t treeID=0)
 DecisionTree (const DecisionTree &d)
virtual ~DecisionTree (void)
virtual DecisionTreeNode * GetRoot () const
virtual DecisionTreeNode * CreateNode (UInt_t) const
virtual BinaryTree * CreateTree () const
virtual const char * ClassName () const
UInt_t BuildTree (const EventList &eventSample, DecisionTreeNode *node=NULL)
Double_t TrainNode (const EventList &eventSample, DecisionTreeNode *node)
Double_t TrainNodeFast (const EventList &eventSample, DecisionTreeNode *node)
Double_t TrainNodeFull (const EventList &eventSample, DecisionTreeNode *node)
void GetRandomisedVariables (Bool_t *useVariable, UInt_t *variableMap, UInt_t &nVars)
std::vector< Double_t > GetFisherCoefficients (const EventList &eventSample, UInt_t nFisherVars, UInt_t *mapVarInFisher)
void FillTree (EventList &eventSample)
void FillEvent (TMVA::Event &event, TMVA::DecisionTreeNode *node)
Double_t CheckEvent (const TMVA::Event &, Bool_t UseYesNoLeaf=kFALSE) const
TMVA::DecisionTreeNode * GetEventNode (const TMVA::Event &e) const
std::vector< Double_t > GetVariableImportance ()
Double_t GetVariableImportance (UInt_t ivar)
void ClearTree ()
void SetPruneMethod (EPruneMethod m=kCostComplexityPruning)
Double_t PruneTree (EventList *validationSample=NULL)
void SetPruneStrength (Double_t p)
Double_t GetPruneStrength () const
void ApplyValidationSample (const EventList *validationSample) const
Double_t TestPrunedTreeQuality (const DecisionTreeNode *dt=NULL, Int_t mode=0) const
void CheckEventWithPrunedTree (const TMVA::Event &) const
Double_t GetSumWeights (const EventList *validationSample) const
void SetNodePurityLimit (Double_t p)
Double_t GetNodePurityLimit () const
void DescendTree (Node *n=NULL)
void SetParentTreeInNodes (Node *n=NULL)
Node * GetNode (ULong_t sequence, UInt_t depth)
UInt_t CleanTree (DecisionTreeNode *node=NULL)
void PruneNode (TMVA::DecisionTreeNode *node)
void PruneNodeInPlace (TMVA::DecisionTreeNode *node)
UInt_t CountLeafNodes (TMVA::Node *n=NULL)
void SetTreeID (Int_t treeID)
Int_t GetTreeID ()
Bool_t DoRegression () const
void SetAnalysisType (Types::EAnalysisType t)
Types::EAnalysisType GetAnalysisType (void)
void SetUseFisherCuts (Bool_t t=kTRUE)
void SetMinLinCorrForFisher (Double_t min)
void SetUseExclusiveVars (Bool_t t=kTRUE)

Static Public Member Functions

static DecisionTree * CreateFromXML (void *node, UInt_t tmva_Version_Code=TMVA_VERSION_CODE)
static DecisionTree * CreateFromXML (void *node, UInt_t tmva_Version_Code=TMVA_VERSION_CODE)

Private Member Functions

Double_t SamplePurity (EventList eventSample)
Double_t SamplePurity (EventList eventSample)

Private Attributes

UInt_t fNvars
Int_t fNCuts
Bool_t fUseFisherCuts
Double_t fMinLinCorrForFisher
Bool_t fUseExclusiveVars
SeparationBase * fSepType
RegressionVariance * fRegType
Double_t fMinSize
Double_t fMinSepGain
Bool_t fUseSearchTree
Double_t fPruneStrength
EPruneMethod fPruneMethod
Double_t fNodePurityLimit
Bool_t fRandomisedTree
Int_t fUseNvars
Bool_t fUsePoissonNvars
TRandom3 * fMyTrandom
std::vector< Double_t > fVariableImportance
UInt_t fNNodesMax
UInt_t fMaxDepth
UInt_t fClass
Int_t fTreeID
Types::EAnalysisType fAnalysisType
SeparationBase * fSepType
RegressionVariance * fRegType
TRandom3 * fMyTrandom

Static Private Attributes

static const Int_t fgRandomSeed
static const Int_t fgDebugLevel = 0

Detailed Description

Definition at line 69 of file DecisionTree.h.

Member Typedef Documentation

typedef std::vector<TMVA::Event*> TMVA::DecisionTree::EventList

Definition at line 77 of file DecisionTree.h.

typedef std::vector<TMVA::Event*> TMVA::DecisionTree::EventList

Definition at line 77 of file DecisionTree.h.

Member Enumeration Documentation

enum TMVA::DecisionTree::EPruneMethod

Definition at line 140 of file DecisionTree.h.

enum TMVA::DecisionTree::EPruneMethod

Definition at line 140 of file DecisionTree.h.

Constructor & Destructor Documentation

TMVA::DecisionTree::DecisionTree ( void   ) 

Referenced by CreateFromXML(), and CreateTree().

TMVA::DecisionTree::DecisionTree ( SeparationBase *  sepType,
Int_t  minSize,
Int_t  nCuts,
UInt_t  cls = 0,
Bool_t  randomisedTree = kFALSE,
Int_t  useNvars = 0,
Bool_t  usePoissonNvars = kFALSE,
UInt_t  nNodesMax = 999999,
UInt_t  nMaxDepth = 9999999,
Int_t  iSeed = fgRandomSeed,
Float_t  purityLimit = 0.5,
Int_t  treeID = 0 
)

Definition at line 122 of file DecisionTree.cxx.

References Endl, fAnalysisType, fNCuts, fRegType, TMVA::Types::kClassification, TMVA::Types::kRegression, TMVA::kWARNING, TMVA::BinaryTree::Log(), and NULL.

TMVA::DecisionTree::DecisionTree ( const DecisionTree &  d  ) 

Definition at line 171 of file DecisionTree.cxx.

References d, TMVA::BinaryTree::fNNodes, SetParentTreeInNodes(), and TMVA::BinaryTree::SetRoot().

TMVA::DecisionTree::~DecisionTree ( void   )  [virtual]

Definition at line 205 of file DecisionTree.cxx.

References fMyTrandom.

TMVA::DecisionTree::DecisionTree ( void   ) 

TMVA::DecisionTree::DecisionTree ( SeparationBase *  sepType,
Int_t  minSize,
Int_t  nCuts,
UInt_t  cls = 0,
Bool_t  randomisedTree = kFALSE,
Int_t  useNvars = 0,
Bool_t  usePoissonNvars = kFALSE,
UInt_t  nNodesMax = 999999,
UInt_t  nMaxDepth = 9999999,
Int_t  iSeed = fgRandomSeed,
Float_t  purityLimit = 0.5,
Int_t  treeID = 0 
)

TMVA::DecisionTree::DecisionTree ( const DecisionTree &  d  ) 

virtual TMVA::DecisionTree::~DecisionTree ( void   )  [virtual]

Member Function Documentation

virtual DecisionTreeNode* TMVA::DecisionTree::GetRoot (  )  const [inline, virtual]

Reimplemented from TMVA::BinaryTree.

Definition at line 97 of file DecisionTree.h.

References TMVA::BinaryTree::fRoot.

Referenced by ApplyValidationSample(), TMVA::RuleEnsemble::CalcNRules(), TMVA::CostComplexityPruneTool::CalculatePruningInfo(), TMVA::ExpectedErrorPruneTool::CalculatePruningInfo(), CheckEvent(), CheckEventWithPrunedTree(), CleanTree(), CountLeafNodes(), DescendTree(), FillEvent(), GetNode(), TMVA::RuleEnsemble::MakeRulesFromTree(), TMVA::CostComplexityPruneTool::Optimize(), SetParentTreeInNodes(), and TestPrunedTreeQuality().

virtual DecisionTreeNode* TMVA::DecisionTree::CreateNode ( UInt_t   )  const [inline, virtual]

Implements TMVA::BinaryTree.

Definition at line 98 of file DecisionTree.h.

virtual BinaryTree* TMVA::DecisionTree::CreateTree (  )  const [inline, virtual]

Implements TMVA::BinaryTree.

Definition at line 99 of file DecisionTree.h.

References DecisionTree().

TMVA::DecisionTree * TMVA::DecisionTree::CreateFromXML ( void *  node,
UInt_t  tmva_Version_Code = TMVA_VERSION_CODE 
) [static]

Definition at line 249 of file DecisionTree.cxx.

References DecisionTree(), TMVA::gTools(), TMVA::Tools::ReadAttr(), TMVA::BinaryTree::ReadXML(), and type.

Referenced by G__G__TMVA2_296_0_7(), G__setup_memfuncTMVAcLcLDecisionTree(), and TMVA::MethodBDT::ReadWeightsFromXML().

virtual const char* TMVA::DecisionTree::ClassName (  )  const [inline, virtual]

Implements TMVA::BinaryTree.

Definition at line 101 of file DecisionTree.h.

UInt_t TMVA::DecisionTree::BuildTree ( const EventList &  eventSample,
DecisionTreeNode *  node = NULL 
)

Referenced by TMVA::RuleFit::BuildTree(), and TMVA::MethodDT::Train().

Double_t TMVA::DecisionTree::TrainNode ( const EventList &  eventSample,
DecisionTreeNode *  node 
) [inline]

Definition at line 109 of file DecisionTree.h.

References TrainNodeFast().

Double_t TMVA::DecisionTree::TrainNodeFast ( const EventList &  eventSample,
DecisionTreeNode *  node 
)

Referenced by TrainNode().

Double_t TMVA::DecisionTree::TrainNodeFull ( const EventList &  eventSample,
DecisionTreeNode *  node 
)

void TMVA::DecisionTree::GetRandomisedVariables ( Bool_t *  useVariable,
UInt_t *  variableMap,
UInt_t &  nVars 
)

Definition at line 823 of file DecisionTree.cxx.

References fMyTrandom, fUseNvars, fUsePoissonNvars, kFALSE, kTRUE, TMath::Max(), TMath::Min(), TRandom::Poisson(), TRandom3::Rndm(), and TMath::Sqrt().

std::vector< Double_t > TMVA::DecisionTree::GetFisherCoefficients ( const EventList &  eventSample,
UInt_t  nFisherVars,
UInt_t *  mapVarInFisher 
)

Definition at line 1201 of file DecisionTree.cxx.

References TMath::Abs(), d, TMatrixT< Element >::Determinant(), E, fClass, TMatrixT< Element >::Invert(), k, TMVA::kFATAL, TMVA::kWARNING, TMVA::BinaryTree::Log(), TMath::Sqrt(), x, and y.

void TMVA::DecisionTree::FillTree ( EventList &  eventSample  ) 

void TMVA::DecisionTree::FillEvent ( TMVA::Event &  event,
TMVA::DecisionTreeNode *  node 
)

Definition at line 465 of file DecisionTree.cxx.

References fClass, fSepType, TMVA::Event::GetClass(), TMVA::DecisionTreeNode::GetLeft(), TMVA::DecisionTreeNode::GetNBkgEvents(), TMVA::DecisionTreeNode::GetNodeType(), TMVA::DecisionTreeNode::GetNSigEvents(), TMVA::DecisionTreeNode::GetRight(), GetRoot(), TMVA::SeparationBase::GetSeparationIndex(), TMVA::Event::GetWeight(), TMVA::DecisionTreeNode::GoesRight(), TMVA::DecisionTreeNode::IncrementNBkgEvents(), TMVA::DecisionTreeNode::IncrementNBkgEvents_unweighted(), TMVA::DecisionTreeNode::IncrementNEvents(), TMVA::DecisionTreeNode::IncrementNEvents_unweighted(), TMVA::DecisionTreeNode::IncrementNSigEvents(), TMVA::DecisionTreeNode::IncrementNSigEvents_unweighted(), NULL, and TMVA::DecisionTreeNode::SetSeparationIndex().

Double_t TMVA::DecisionTree::CheckEvent ( const TMVA::Event &  ,
Bool_t  UseYesNoLeaf = kFALSE 
) const

Definition at line 1537 of file DecisionTree.cxx.

References DoRegression(), TMVA::DecisionTreeNode::GetLeft(), TMVA::DecisionTreeNode::GetNodeType(), TMVA::DecisionTreeNode::GetPurity(), TMVA::DecisionTreeNode::GetResponse(), TMVA::DecisionTreeNode::GetRight(), GetRoot(), TMVA::DecisionTreeNode::GoesRight(), TMVA::kFATAL, and TMVA::BinaryTree::Log().

Referenced by TMVA::RuleFit::Boost(), TMVA::MethodDT::GetMvaValue(), TMVA::MethodBDT::TestTreeQuality(), and TMVA::MethodDT::TestTreeQuality().

TMVA::DecisionTreeNode * TMVA::DecisionTree::GetEventNode ( const TMVA::Event &  e  )  const

Definition at line 1522 of file DecisionTree.cxx.

References TMVA::DecisionTreeNode::GetLeft(), TMVA::DecisionTreeNode::GetNodeType(), TMVA::DecisionTreeNode::GetRight(), and TMVA::DecisionTreeNode::GoesRight().

vector< Double_t > TMVA::DecisionTree::GetVariableImportance (  ) 

Definition at line 1588 of file DecisionTree.cxx.

References RootCsg::epsilon, fVariableImportance, and i.

Referenced by GetVariableImportance().

Double_t TMVA::DecisionTree::GetVariableImportance ( UInt_t  ivar  ) 

Definition at line 1612 of file DecisionTree.cxx.

References GetVariableImportance(), TMVA::kFATAL, and TMVA::BinaryTree::Log().

void TMVA::DecisionTree::ClearTree (  ) 

Definition at line 500 of file DecisionTree.cxx.

References NULL.

void TMVA::DecisionTree::SetPruneMethod ( EPruneMethod  m = kCostComplexityPruning  )  [inline]

Definition at line 141 of file DecisionTree.h.

References fPruneMethod, and m.

Referenced by TMVA::RuleFit::BuildTree().

Double_t TMVA::DecisionTree::PruneTree ( EventList *  validationSample = NULL  ) 

Referenced by TMVA::RuleFit::BuildTree(), and TMVA::MethodDT::PruneTree().

void TMVA::DecisionTree::SetPruneStrength ( Double_t  p  )  [inline]

Definition at line 147 of file DecisionTree.h.

References fPruneStrength.

Referenced by TMVA::RuleFit::BuildTree(), and TMVA::MethodDT::PruneTree().

Double_t TMVA::DecisionTree::GetPruneStrength (  )  const [inline]

Definition at line 148 of file DecisionTree.h.

References fPruneStrength.

void TMVA::DecisionTree::ApplyValidationSample ( const EventList *  validationSample  )  const

Definition at line 602 of file DecisionTree.cxx.

References CheckEventWithPrunedTree(), GetRoot(), and TMVA::DecisionTreeNode::ResetValidationData().

Referenced by TMVA::CostComplexityPruneTool::CalculatePruningInfo().

Double_t TMVA::DecisionTree::TestPrunedTreeQuality ( const DecisionTreeNode *  dt = NULL,
Int_t  mode = 0 
) const

Definition at line 615 of file DecisionTree.cxx.

References DoRegression(), GetNodePurityLimit(), GetRoot(), TMVA::kFATAL, TMVA::BinaryTree::Log(), n, and NULL.

Referenced by TMVA::CostComplexityPruneTool::CalculatePruningInfo(), and TMVA::CostComplexityPruneTool::Optimize().

void TMVA::DecisionTree::CheckEventWithPrunedTree ( const TMVA::Event &   )  const

Definition at line 658 of file DecisionTree.cxx.

References TMVA::DecisionTreeNode::AddToSumTarget(), TMVA::DecisionTreeNode::AddToSumTarget2(), fClass, TMVA::Event::GetClass(), TMVA::DecisionTreeNode::GetLeft(), TMVA::DecisionTreeNode::GetNBValidation(), TMVA::DecisionTreeNode::GetNSValidation(), TMVA::Event::GetNTargets(), TMVA::DecisionTreeNode::GetRight(), GetRoot(), TMVA::Event::GetTarget(), TMVA::Event::GetWeight(), TMVA::DecisionTreeNode::GoesRight(), TMVA::kFATAL, TMVA::BinaryTree::Log(), NULL, TMVA::DecisionTreeNode::SetNBValidation(), and TMVA::DecisionTreeNode::SetNSValidation().

Referenced by ApplyValidationSample().

Double_t TMVA::DecisionTree::GetSumWeights ( const EventList *  validationSample  )  const

Definition at line 693 of file DecisionTree.cxx.

Referenced by TMVA::CostComplexityPruneTool::CalculatePruningInfo().

void TMVA::DecisionTree::SetNodePurityLimit ( Double_t  p  )  [inline]

Definition at line 162 of file DecisionTree.h.

References fNodePurityLimit.

Double_t TMVA::DecisionTree::GetNodePurityLimit (  )  const [inline]

Definition at line 163 of file DecisionTree.h.

References fNodePurityLimit.

Referenced by TMVA::CostComplexityPruneTool::CalculatePruningInfo(), TMVA::ExpectedErrorPruneTool::CalculatePruningInfo(), TMVA::CCTreeWrapper::CheckEvent(), TestPrunedTreeQuality(), TMVA::CCTreeWrapper::TestTreeQuality(), and TMVA::MethodDT::TestTreeQuality().

void TMVA::DecisionTree::DescendTree ( Node *  n = NULL  ) 

Definition at line 736 of file DecisionTree.cxx.

References GetRoot(), TMVA::kFATAL, TMVA::BinaryTree::Log(), n, and NULL.

void TMVA::DecisionTree::SetParentTreeInNodes ( Node *  n = NULL  ) 

Definition at line 215 of file DecisionTree.cxx.

References Endl, GetRoot(), TMVA::BinaryTree::GetTotalTreeDepth(), TMVA::kFATAL, TMVA::BinaryTree::Log(), n, and NULL.

Referenced by DecisionTree().

TMVA::Node * TMVA::DecisionTree::GetNode ( ULong_t  sequence,
UInt_t  depth 
)

Definition at line 804 of file DecisionTree.cxx.

References TMVA::BinaryTree::GetLeftDaughter(), GetRoot(), and i.

UInt_t TMVA::DecisionTree::CleanTree ( DecisionTreeNode *  node = NULL  ) 

Definition at line 509 of file DecisionTree.cxx.

References TMVA::BinaryTree::CountNodes(), TMVA::DecisionTreeNode::GetLeft(), TMVA::DecisionTreeNode::GetNodeType(), TMVA::DecisionTreeNode::GetRight(), GetRoot(), l, and NULL.

void TMVA::DecisionTree::PruneNode ( TMVA::DecisionTreeNode *  node  ) 

Definition at line 770 of file DecisionTree.cxx.

References TMVA::BinaryTree::CountNodes(), TMVA::BinaryTree::DeleteNode(), fNodePurityLimit, TMVA::DecisionTreeNode::GetLeft(), TMVA::DecisionTreeNode::GetPurity(), TMVA::DecisionTreeNode::GetRight(), l, NULL, TMVA::DecisionTreeNode::SetLeft(), TMVA::DecisionTreeNode::SetNodeType(), TMVA::DecisionTreeNode::SetRight(), TMVA::DecisionTreeNode::SetSelector(), and TMVA::DecisionTreeNode::SetSeparationGain().

Referenced by TMVA::MethodDT::PruneTree().

void TMVA::DecisionTree::PruneNodeInPlace ( TMVA::DecisionTreeNode *  node  ) 

Definition at line 790 of file DecisionTree.cxx.

References TMVA::DecisionTreeNode::GetNodeR(), RootCsg::infinity, kTRUE, NULL, TMVA::DecisionTreeNode::SetAlpha(), TMVA::DecisionTreeNode::SetAlphaMinSubtree(), TMVA::DecisionTreeNode::SetNTerminal(), TMVA::DecisionTreeNode::SetSubTreeR(), and TMVA::DecisionTreeNode::SetTerminal().

Referenced by TMVA::CostComplexityPruneTool::Optimize().

UInt_t TMVA::DecisionTree::CountLeafNodes ( TMVA::Node *  n = NULL  ) 

Definition at line 707 of file DecisionTree.cxx.

References GetRoot(), TMVA::kFATAL, TMVA::BinaryTree::Log(), n, and NULL.

void TMVA::DecisionTree::SetTreeID ( Int_t  treeID  )  [inline]

Definition at line 184 of file DecisionTree.h.

References fTreeID.

Int_t TMVA::DecisionTree::GetTreeID (  )  [inline]

Definition at line 185 of file DecisionTree.h.

References fTreeID.

Referenced by TMVA::CostComplexityPruneTool::CalculatePruningInfo(), and TMVA::CostComplexityPruneTool::Optimize().

Bool_t TMVA::DecisionTree::DoRegression (  )  const [inline]

Definition at line 187 of file DecisionTree.h.

References fAnalysisType, and TMVA::Types::kRegression.

Referenced by CheckEvent(), and TestPrunedTreeQuality().

void TMVA::DecisionTree::SetAnalysisType ( Types::EAnalysisType  t  )  [inline]

Definition at line 188 of file DecisionTree.h.

References fAnalysisType.

Referenced by TMVA::MethodDT::Train().

Types::EAnalysisType TMVA::DecisionTree::GetAnalysisType ( void   )  [inline]

Definition at line 189 of file DecisionTree.h.

References fAnalysisType.

void TMVA::DecisionTree::SetUseFisherCuts ( Bool_t  t = kTRUE  )  [inline]

Definition at line 190 of file DecisionTree.h.

References fUseFisherCuts, and t.

void TMVA::DecisionTree::SetMinLinCorrForFisher ( Double_t  min  )  [inline]

Definition at line 191 of file DecisionTree.h.

References fMinLinCorrForFisher.

void TMVA::DecisionTree::SetUseExclusiveVars ( Bool_t  t = kTRUE  )  [inline]

Definition at line 192 of file DecisionTree.h.

References fUseExclusiveVars, and t.

Double_t TMVA::DecisionTree::SamplePurity ( EventList  eventSample  )  [private]

virtual DecisionTreeNode* TMVA::DecisionTree::GetRoot (  )  const [inline, virtual]

Reimplemented from TMVA::BinaryTree.

Definition at line 97 of file DecisionTree.h.

References TMVA::BinaryTree::fRoot.

virtual DecisionTreeNode* TMVA::DecisionTree::CreateNode ( UInt_t   )  const [inline, virtual]

Implements TMVA::BinaryTree.

Definition at line 98 of file DecisionTree.h.

virtual BinaryTree* TMVA::DecisionTree::CreateTree (  )  const [inline, virtual]

Implements TMVA::BinaryTree.

Definition at line 99 of file DecisionTree.h.

References DecisionTree().

static DecisionTree* TMVA::DecisionTree::CreateFromXML ( void *  node,
UInt_t  tmva_Version_Code = TMVA_VERSION_CODE 
) [static]

virtual const char* TMVA::DecisionTree::ClassName (  )  const [inline, virtual]

Implements TMVA::BinaryTree.

Definition at line 101 of file DecisionTree.h.

UInt_t TMVA::DecisionTree::BuildTree ( const EventList &  eventSample,
DecisionTreeNode *  node = NULL 
)

Double_t TMVA::DecisionTree::TrainNode ( const EventList &  eventSample,
DecisionTreeNode *  node 
) [inline]

Definition at line 109 of file DecisionTree.h.

References TrainNodeFast().

Double_t TMVA::DecisionTree::TrainNodeFast ( const EventList &  eventSample,
DecisionTreeNode *  node 
)

Double_t TMVA::DecisionTree::TrainNodeFull ( const EventList &  eventSample,
DecisionTreeNode *  node 
)

void TMVA::DecisionTree::GetRandomisedVariables ( Bool_t *  useVariable,
UInt_t *  variableMap,
UInt_t &  nVars 
)

std::vector<Double_t> TMVA::DecisionTree::GetFisherCoefficients ( const EventList &  eventSample,
UInt_t  nFisherVars,
UInt_t *  mapVarInFisher 
)

void TMVA::DecisionTree::FillTree ( EventList &  eventSample  ) 

void TMVA::DecisionTree::FillEvent ( TMVA::Event &  event,
TMVA::DecisionTreeNode *  node 
)

Double_t TMVA::DecisionTree::CheckEvent ( const TMVA::Event &  ,
Bool_t  UseYesNoLeaf = kFALSE 
) const

TMVA::DecisionTreeNode* TMVA::DecisionTree::GetEventNode ( const TMVA::Event &  e  )  const

std::vector< Double_t > TMVA::DecisionTree::GetVariableImportance (  ) 

Double_t TMVA::DecisionTree::GetVariableImportance ( UInt_t  ivar  ) 

void TMVA::DecisionTree::ClearTree (  ) 

void TMVA::DecisionTree::SetPruneMethod ( EPruneMethod  m = kCostComplexityPruning  )  [inline]

Definition at line 141 of file DecisionTree.h.

References fPruneMethod, and m.

Double_t TMVA::DecisionTree::PruneTree ( EventList *  validationSample = NULL  ) 

void TMVA::DecisionTree::SetPruneStrength ( Double_t  p  )  [inline]

Definition at line 147 of file DecisionTree.h.

References fPruneStrength.

Double_t TMVA::DecisionTree::GetPruneStrength (  )  const [inline]

Definition at line 148 of file DecisionTree.h.

References fPruneStrength.

void TMVA::DecisionTree::ApplyValidationSample ( const EventList *  validationSample  )  const

Double_t TMVA::DecisionTree::TestPrunedTreeQuality ( const DecisionTreeNode *  dt = NULL,
Int_t  mode = 0 
) const

void TMVA::DecisionTree::CheckEventWithPrunedTree ( const TMVA::Event &   )  const

Double_t TMVA::DecisionTree::GetSumWeights ( const EventList *  validationSample  )  const

void TMVA::DecisionTree::SetNodePurityLimit ( Double_t  p  )  [inline]

Definition at line 162 of file DecisionTree.h.

References fNodePurityLimit.

Double_t TMVA::DecisionTree::GetNodePurityLimit (  )  const [inline]

Definition at line 163 of file DecisionTree.h.

References fNodePurityLimit.

void TMVA::DecisionTree::DescendTree ( Node *  n = NULL  ) 

void TMVA::DecisionTree::SetParentTreeInNodes ( Node *  n = NULL  ) 

Node* TMVA::DecisionTree::GetNode ( ULong_t  sequence,
UInt_t  depth 
)

UInt_t TMVA::DecisionTree::CleanTree ( DecisionTreeNode *  node = NULL  ) 

void TMVA::DecisionTree::PruneNode ( TMVA::DecisionTreeNode *  node  ) 

void TMVA::DecisionTree::PruneNodeInPlace ( TMVA::DecisionTreeNode *  node  ) 

UInt_t TMVA::DecisionTree::CountLeafNodes ( TMVA::Node *  n = NULL  ) 

void TMVA::DecisionTree::SetTreeID ( Int_t  treeID  )  [inline]

Definition at line 184 of file DecisionTree.h.

References fTreeID.

Int_t TMVA::DecisionTree::GetTreeID (  )  [inline]

Definition at line 185 of file DecisionTree.h.

References fTreeID.

Bool_t TMVA::DecisionTree::DoRegression (  )  const [inline]

Definition at line 187 of file DecisionTree.h.

References fAnalysisType, and TMVA::Types::kRegression.

void TMVA::DecisionTree::SetAnalysisType ( Types::EAnalysisType  t  )  [inline]

Definition at line 188 of file DecisionTree.h.

References fAnalysisType.

Types::EAnalysisType TMVA::DecisionTree::GetAnalysisType ( void   )  [inline]

Definition at line 189 of file DecisionTree.h.

References fAnalysisType.

void TMVA::DecisionTree::SetUseFisherCuts ( Bool_t  t = kTRUE  )  [inline]

Definition at line 190 of file DecisionTree.h.

References fUseFisherCuts, and t.

void TMVA::DecisionTree::SetMinLinCorrForFisher ( Double_t  min  )  [inline]

Definition at line 191 of file DecisionTree.h.

References fMinLinCorrForFisher.

void TMVA::DecisionTree::SetUseExclusiveVars ( Bool_t  t = kTRUE  )  [inline]

Definition at line 192 of file DecisionTree.h.

References fUseExclusiveVars, and t.

Double_t TMVA::DecisionTree::SamplePurity ( EventList  eventSample  )  [private]

Member Data Documentation

const Int_t TMVA::DecisionTree::fgRandomSeed [static, private]

Definition at line 73 of file DecisionTree.h.

UInt_t TMVA::DecisionTree::fNvars [private]

Definition at line 203 of file DecisionTree.h.

Int_t TMVA::DecisionTree::fNCuts [private]

Definition at line 204 of file DecisionTree.h.

Referenced by DecisionTree().

Bool_t TMVA::DecisionTree::fUseFisherCuts [private]

Definition at line 205 of file DecisionTree.h.

Referenced by SetUseFisherCuts().

Double_t TMVA::DecisionTree::fMinLinCorrForFisher [private]

Definition at line 206 of file DecisionTree.h.

Referenced by SetMinLinCorrForFisher().

Bool_t TMVA::DecisionTree::fUseExclusiveVars [private]

Definition at line 207 of file DecisionTree.h.

Referenced by SetUseExclusiveVars().

SeparationBase* TMVA::DecisionTree::fSepType [private]

Definition at line 209 of file DecisionTree.h.

Referenced by FillEvent().

RegressionVariance* TMVA::DecisionTree::fRegType [private]

Definition at line 210 of file DecisionTree.h.

Referenced by DecisionTree().

Double_t TMVA::DecisionTree::fMinSize [private]

Definition at line 212 of file DecisionTree.h.

Double_t TMVA::DecisionTree::fMinSepGain [private]

Definition at line 213 of file DecisionTree.h.

Bool_t TMVA::DecisionTree::fUseSearchTree [private]

Definition at line 215 of file DecisionTree.h.

Double_t TMVA::DecisionTree::fPruneStrength [private]

Definition at line 216 of file DecisionTree.h.

Referenced by GetPruneStrength(), and SetPruneStrength().

EPruneMethod TMVA::DecisionTree::fPruneMethod [private]

Definition at line 218 of file DecisionTree.h.

Referenced by SetPruneMethod().

Double_t TMVA::DecisionTree::fNodePurityLimit [private]

Definition at line 220 of file DecisionTree.h.

Referenced by GetNodePurityLimit(), PruneNode(), and SetNodePurityLimit().

Bool_t TMVA::DecisionTree::fRandomisedTree [private]

Definition at line 222 of file DecisionTree.h.

Int_t TMVA::DecisionTree::fUseNvars [private]

Definition at line 223 of file DecisionTree.h.

Referenced by GetRandomisedVariables().

Bool_t TMVA::DecisionTree::fUsePoissonNvars [private]

Definition at line 224 of file DecisionTree.h.

Referenced by GetRandomisedVariables().

TRandom3* TMVA::DecisionTree::fMyTrandom [private]

Definition at line 226 of file DecisionTree.h.

Referenced by GetRandomisedVariables(), and ~DecisionTree().

std::vector< Double_t > TMVA::DecisionTree::fVariableImportance [private]

Definition at line 228 of file DecisionTree.h.

Referenced by GetVariableImportance().

UInt_t TMVA::DecisionTree::fNNodesMax [private]

Definition at line 230 of file DecisionTree.h.

UInt_t TMVA::DecisionTree::fMaxDepth [private]

Definition at line 231 of file DecisionTree.h.

UInt_t TMVA::DecisionTree::fClass [private]

Definition at line 232 of file DecisionTree.h.

Referenced by CheckEventWithPrunedTree(), FillEvent(), and GetFisherCoefficients().

static const Int_t TMVA::DecisionTree::fgDebugLevel = 0 [static, private]

Definition at line 234 of file DecisionTree.h.

Int_t TMVA::DecisionTree::fTreeID [private]

Definition at line 235 of file DecisionTree.h.

Referenced by GetTreeID(), and SetTreeID().

Types::EAnalysisType TMVA::DecisionTree::fAnalysisType [private]

Definition at line 237 of file DecisionTree.h.

Referenced by DecisionTree(), DoRegression(), GetAnalysisType(), and SetAnalysisType().

SeparationBase* TMVA::DecisionTree::fSepType [private]

Definition at line 209 of file DecisionTree.h.

RegressionVariance* TMVA::DecisionTree::fRegType [private]

Definition at line 210 of file DecisionTree.h.

TRandom3* TMVA::DecisionTree::fMyTrandom [private]

Definition at line 226 of file DecisionTree.h.

The documentation for this class was generated from the following files:
Generated on Tue Jul 5 17:01:24 2011 for ROOT_528-00b_version by  doxygen 1.5.1