AddXMLTo(void *parent) const | TMVA::BinaryTree | virtual |
ApplyValidationSample(const EventConstList *validationSample) const | TMVA::DecisionTree | |
BinaryTree(void) | TMVA::BinaryTree | |
BuildTree(const EventConstList &eventSample, DecisionTreeNode *node=NULL) | TMVA::DecisionTree | |
CheckEvent(const TMVA::Event *, Bool_t UseYesNoLeaf=kFALSE) const | TMVA::DecisionTree | |
CheckEventWithPrunedTree(const TMVA::Event *) const | TMVA::DecisionTree | |
ClassName() const | TMVA::DecisionTree | inlinevirtual |
CleanTree(DecisionTreeNode *node=NULL) | TMVA::DecisionTree | |
ClearTree() | TMVA::DecisionTree | |
CountLeafNodes(TMVA::Node *n=NULL) | TMVA::DecisionTree | |
CountNodes(Node *n=NULL) | TMVA::BinaryTree | |
CreateFromXML(void *node, UInt_t tmva_Version_Code=TMVA_VERSION_CODE) | TMVA::DecisionTree | static |
CreateNode(UInt_t) const | TMVA::DecisionTree | inlinevirtual |
CreateTree() const | TMVA::DecisionTree | inlinevirtual |
DecisionTree(void) | TMVA::DecisionTree | |
DecisionTree(SeparationBase *sepType, Float_t minSize, Int_t nCuts, DataSetInfo *=NULL, UInt_t cls=0, Bool_t randomisedTree=kFALSE, Int_t useNvars=0, Bool_t usePoissonNvars=kFALSE, UInt_t nMaxDepth=9999999, Int_t iSeed=fgRandomSeed, Float_t purityLimit=0.5, Int_t treeID=0) | TMVA::DecisionTree | |
DecisionTree(const DecisionTree &d) | TMVA::DecisionTree | |
DeleteNode(Node *) | TMVA::BinaryTree | protected |
DescendTree(Node *n=NULL) | TMVA::DecisionTree | |
DoRegression() const | TMVA::DecisionTree | inline |
EPruneMethod enum name | TMVA::DecisionTree | |
EventConstList typedef | TMVA::DecisionTree | |
EventList typedef | TMVA::DecisionTree | |
fAnalysisType | TMVA::DecisionTree | private |
fDataSetInfo | TMVA::DecisionTree | private |
fDepth | TMVA::BinaryTree | protected |
fgDebugLevel | TMVA::DecisionTree | privatestatic |
fgRandomSeed | TMVA::DecisionTree | privatestatic |
FillEvent(const TMVA::Event &event, TMVA::DecisionTreeNode *node) | TMVA::DecisionTree | |
FillTree(const EventList &eventSample) | TMVA::DecisionTree | |
fMaxDepth | TMVA::DecisionTree | private |
fMinLinCorrForFisher | TMVA::DecisionTree | private |
fMinNodeSize | TMVA::DecisionTree | private |
fMinSepGain | TMVA::DecisionTree | private |
fMinSize | TMVA::DecisionTree | private |
fMyTrandom | TMVA::DecisionTree | private |
fNCuts | TMVA::DecisionTree | private |
fNNodes | TMVA::BinaryTree | protected |
fNNodesBeforePruning | TMVA::DecisionTree | private |
fNodePurityLimit | TMVA::DecisionTree | private |
fNvars | TMVA::DecisionTree | private |
fPruneMethod | TMVA::DecisionTree | private |
fPruneStrength | TMVA::DecisionTree | private |
fRandomisedTree | TMVA::DecisionTree | private |
fRegType | TMVA::DecisionTree | private |
fRoot | TMVA::BinaryTree | protected |
fSepType | TMVA::DecisionTree | private |
fSigClass | TMVA::DecisionTree | private |
fTreeID | TMVA::DecisionTree | private |
fUseExclusiveVars | TMVA::DecisionTree | private |
fUseFisherCuts | TMVA::DecisionTree | private |
fUseNvars | TMVA::DecisionTree | private |
fUsePoissonNvars | TMVA::DecisionTree | private |
fUseSearchTree | TMVA::DecisionTree | private |
fVariableImportance | TMVA::DecisionTree | private |
GetAnalysisType(void) | TMVA::DecisionTree | inline |
GetEventNode(const TMVA::Event &e) const | TMVA::DecisionTree | |
GetFisherCoefficients(const EventConstList &eventSample, UInt_t nFisherVars, UInt_t *mapVarInFisher) | TMVA::DecisionTree | |
GetLeftDaughter(Node *n) | TMVA::BinaryTree | |
GetNNodes() const | TMVA::BinaryTree | inline |
GetNNodesBeforePruning() | TMVA::DecisionTree | inline |
GetNode(ULong_t sequence, UInt_t depth) | TMVA::DecisionTree | |
GetNodePurityLimit() const | TMVA::DecisionTree | inline |
GetPruneStrength() const | TMVA::DecisionTree | inline |
GetRandomisedVariables(Bool_t *useVariable, UInt_t *variableMap, UInt_t &nVars) | TMVA::DecisionTree | |
GetRightDaughter(Node *n) | TMVA::BinaryTree | |
GetRoot() const | TMVA::DecisionTree | inlinevirtual |
GetSumWeights(const EventConstList *validationSample) const | TMVA::DecisionTree | |
GetTotalTreeDepth() const | TMVA::BinaryTree | inline |
GetTreeID() | TMVA::DecisionTree | inline |
GetVariableImportance() | TMVA::DecisionTree | |
GetVariableImportance(UInt_t ivar) | TMVA::DecisionTree | |
kCostComplexityPruning enum value | TMVA::DecisionTree | |
kExpectedErrorPruning enum value | TMVA::DecisionTree | |
kNoPruning enum value | TMVA::DecisionTree | |
Log() const | TMVA::BinaryTree | protected |
Print(std::ostream &os) const | TMVA::BinaryTree | virtual |
PruneNode(TMVA::DecisionTreeNode *node) | TMVA::DecisionTree | |
PruneNodeInPlace(TMVA::DecisionTreeNode *node) | TMVA::DecisionTree | |
PruneTree(const EventConstList *validationSample=NULL) | TMVA::DecisionTree | |
Read(std::istream &istr, UInt_t tmva_Version_Code=TMVA_VERSION_CODE) | TMVA::BinaryTree | virtual |
ReadXML(void *node, UInt_t tmva_Version_Code=TMVA_VERSION_CODE) | TMVA::BinaryTree | virtual |
SamplePurity(EventList eventSample) | TMVA::DecisionTree | private |
SetAnalysisType(Types::EAnalysisType t) | TMVA::DecisionTree | inline |
SetMinLinCorrForFisher(Double_t min) | TMVA::DecisionTree | inline |
SetNodePurityLimit(Double_t p) | TMVA::DecisionTree | inline |
SetNVars(Int_t n) | TMVA::DecisionTree | inline |
SetParentTreeInNodes(Node *n=NULL) | TMVA::DecisionTree | |
SetPruneMethod(EPruneMethod m=kCostComplexityPruning) | TMVA::DecisionTree | inline |
SetPruneStrength(Double_t p) | TMVA::DecisionTree | inline |
SetRoot(Node *r) | TMVA::BinaryTree | inline |
SetTotalTreeDepth(Int_t depth) | TMVA::BinaryTree | inline |
SetTotalTreeDepth(Node *n=NULL) | TMVA::BinaryTree | |
SetTreeID(Int_t treeID) | TMVA::DecisionTree | inline |
SetUseExclusiveVars(Bool_t t=kTRUE) | TMVA::DecisionTree | inline |
SetUseFisherCuts(Bool_t t=kTRUE) | TMVA::DecisionTree | inline |
TestPrunedTreeQuality(const DecisionTreeNode *dt=NULL, Int_t mode=0) const | TMVA::DecisionTree | |
TrainNode(const EventConstList &eventSample, DecisionTreeNode *node) | TMVA::DecisionTree | inline |
TrainNodeFast(const EventConstList &eventSample, DecisionTreeNode *node) | TMVA::DecisionTree | |
TrainNodeFull(const EventConstList &eventSample, DecisionTreeNode *node) | TMVA::DecisionTree | |
~BinaryTree() | TMVA::BinaryTree | virtual |
~DecisionTree(void) | TMVA::DecisionTree | virtual |