Base Class for all classes that need option parsing.
Node for the Decision Tree.
The node specifies ONE variable out of the given set of selection variable that is used to split the sample which "arrives" at the node, into a left (background-enhanced) and a right (signal-enhanced) sample.
Public Types | |
enum | ECellValue { kValue , kValueError , kValueDensity , kMeanValue , kRms , kRmsOvMean , kCellVolume } |
enum | EDTSeparation { kFoam , kGiniIndex , kMisClassificationError , kCrossEntropy , kGiniIndexWithLaplace , kSdivSqrtSplusB } |
enum class | EEfficiencyPlotType { kEffBvsEffS , kRejBvsEffS } |
enum | EFoamType { kSeparate , kDiscr , kMonoTarget , kMultiTarget , kMultiClass } |
enum | EMsgType { kDEBUG = 1 , kVERBOSE = 2 , kINFO = 3 , kWARNING = 4 , kERROR = 5 , kFATAL = 6 , kSILENT = 7 , kHEADER = 8 } |
enum | ETargetSelection { kMean = 0 , kMpv = 1 } |
using | EventCollection_t = std::vector< Event * > |
using | EventOutputs_t = std::vector< Float_t > |
using | EventOutputsMulticlass_t = std::vector< std::vector< Float_t > > |
using | EventTypes_t = std::vector< Bool_t > |
enum | HistType { kMVAType = 0 , kProbaType = 1 , kRarityType = 2 , kCompareType = 3 } |
typedef UInt_t | TMVAVersion_t |
enum | VIType { kShort =0 , kAll =1 , kRandom =2 } |
Public Attributes | |
std::vector< TControlBar * > | BDT_Global__cbar |
std::vector< TControlBar * > | BDTReg_Global__cbar |
const Bool_t | GeneticAlgorithm__DEBUG__ = kFALSE |
const int | max_Events_ = 200000 |
const int | max_nLayers_ = 6 |
const int | max_nNodes_ = 200 |
const int | max_nVar_ = 200 |
const Bool_t | MethodPDERS_UseFindRoot = kFALSE |
using TMVA::EventCollection_t = std::vector<Event *> |
Definition at line 48 of file CrossValidation.h.
using TMVA::EventOutputs_t = std::vector<Float_t> |
Definition at line 50 of file CrossValidation.h.
using TMVA::EventOutputsMulticlass_t = std::vector<std::vector<Float_t> > |
Definition at line 51 of file CrossValidation.h.
using TMVA::EventTypes_t = std::vector<Bool_t> |
Definition at line 49 of file CrossValidation.h.
enum TMVA::ECellValue |
enum TMVA::EDTSeparation |
|
strong |
Enumerator | |
---|---|
kEffBvsEffS | |
kRejBvsEffS |
Definition at line 14 of file efficienciesMulticlass.h.
enum TMVA::EFoamType |
enum TMVA::EMsgType |
enum TMVA::ETargetSelection |
Enumerator | |
---|---|
kMean | |
kMpv |
Definition at line 44 of file PDEFoamMultiTarget.h.
enum TMVA::HistType |
std::vector< TControlBar * > TMVA::BDT_Global__cbar |
std::vector< TControlBar * > TMVA::BDTReg_Global__cbar |
Definition at line 50 of file GeneticAlgorithm.cxx.
const int TMVA::max_Events_ = 200000 |
Definition at line 38 of file MethodCFMlpANN_def.h.
const int TMVA::max_nLayers_ = 6 |
Definition at line 39 of file MethodCFMlpANN_def.h.
const int TMVA::max_nNodes_ = 200 |
Definition at line 40 of file MethodCFMlpANN_def.h.
const int TMVA::max_nVar_ = 200 |
Definition at line 41 of file MethodCFMlpANN_def.h.
Definition at line 89 of file MethodPDERS.cxx.