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added new method to TMVA::DataLoader #176

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added new method to TMVA::DataLoader #176

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b508224
added new method to TMVA::DataLoader
qati May 23, 2016
77ebf8d
New method TMVA::DataLoader::GetInputVariableHist
qati May 26, 2016
29ee3a9
added DataLoader::GetInputVariableHist
qati May 26, 2016
5fb9fac
fixes in DataLoader::GetInputVariableHist
qati May 26, 2016
46542c0
fixes in DataLoader::GetInputVariableHist
qati May 26, 2016
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added new method to TMVA::DataLoader
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@qati
qati committed May 23, 2016
commit b5082243e43a8533ccf973d2667b2f68e496af4b
31 changes: 16 additions & 15 deletions tmva/tmva/inc/TMVA/DataLoader.h
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Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,8 @@
#include "TMVA/DataSet.h"
#endif

#include "TH2.h"

class TFile;
class TTree;
class TDirectory;
Expand Down Expand Up @@ -88,16 +90,16 @@ namespace TMVA {
// special case: signal/background

// Data input related
void SetInputTrees( const TString& signalFileName, const TString& backgroundFileName,
void SetInputTrees( const TString& signalFileName, const TString& backgroundFileName,
Double_t signalWeight=1.0, Double_t backgroundWeight=1.0 );
void SetInputTrees( TTree* inputTree, const TCut& SigCut, const TCut& BgCut );
// Set input trees at once
void SetInputTrees( TTree* signal, TTree* background,
void SetInputTrees( TTree* signal, TTree* background,
Double_t signalWeight=1.0, Double_t backgroundWeight=1.0) ;

void AddSignalTree( TTree* signal, Double_t weight=1.0, Types::ETreeType treetype = Types::kMaxTreeType );
void AddSignalTree( TString datFileS, Double_t weight=1.0, Types::ETreeType treetype = Types::kMaxTreeType );
void AddSignalTree( TTree* signal, Double_t weight, const TString& treetype );
void AddSignalTree( TTree* signal, Double_t weight, const TString& treetype );

// ... depreciated, kept for backwards compatibility
void SetSignalTree( TTree* signal, Double_t weight=1.0);
Expand All @@ -113,9 +115,9 @@ namespace TMVA {
void SetBackgroundWeightExpression( const TString& variable );

// special case: regression
void AddRegressionTree( TTree* tree, Double_t weight = 1.0,
Types::ETreeType treetype = Types::kMaxTreeType ) {
AddTree( tree, "Regression", weight, "", treetype );
void AddRegressionTree( TTree* tree, Double_t weight = 1.0,
Types::ETreeType treetype = Types::kMaxTreeType ) {
AddTree( tree, "Regression", weight, "", treetype );
}

// general
Expand Down Expand Up @@ -157,10 +159,10 @@ namespace TMVA {
void PrepareTrainingAndTestTree( const TCut& cut, const TString& splitOpt );
void PrepareTrainingAndTestTree( TCut sigcut, TCut bkgcut, const TString& splitOpt );

// ... deprecated, kept for backwards compatibility
// ... deprecated, kept for backwards compatibility
void PrepareTrainingAndTestTree( const TCut& cut, Int_t Ntrain, Int_t Ntest = -1 );

void PrepareTrainingAndTestTree( const TCut& cut, Int_t NsigTrain, Int_t NbkgTrain, Int_t NsigTest, Int_t NbkgTest,
void PrepareTrainingAndTestTree( const TCut& cut, Int_t NsigTrain, Int_t NbkgTrain, Int_t NsigTest, Int_t NbkgTest,
const TString& otherOpt="SplitMode=Random:!V" );

void PrepareTrainingAndTestTree( int foldNumber, Types::ETreeType tt );
Expand All @@ -169,11 +171,11 @@ namespace TMVA {
void ValidationKFoldSet();
std::vector<TTree*> SplitSets(TTree * oldTree, int seedNum, int numFolds);


TH2* GetCorrelationMatrix(const TString& className);

private:


DataInputHandler& DataInput() { return *fDataInputHandler; }
DataSetInfo& DefaultDataSetInfo();
void SetInputTreesFromEventAssignTrees();
Expand All @@ -186,7 +188,7 @@ namespace TMVA {

DataSetManager* fDataSetManager; // DSMTEST


DataInputHandler* fDataInputHandler;

std::vector<TMVA::VariableTransformBase*> fDefaultTrfs; //! list of transformations on default DataSet
Expand All @@ -199,7 +201,7 @@ namespace TMVA {
TString fName; //! name, used as directory in output

// flag determining the way training and test data are assigned to DataLoader
enum DataAssignType { kUndefined = 0,
enum DataAssignType { kUndefined = 0,
kAssignTrees,
kAssignEvents };
DataAssignType fDataAssignType; //! flags for data assigning
Expand All @@ -214,7 +216,7 @@ namespace TMVA {
Int_t fATreeType; // type of event (=classIndex)
Float_t fATreeWeight; // weight of the event
Float_t* fATreeEvent; // event variables

Types::EAnalysisType fAnalysisType; //! the training type

protected:
Expand All @@ -225,4 +227,3 @@ namespace TMVA {
} // namespace TMVA

#endif

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