| 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 |
