void TMVACrossValidation()
{
// This loads the library
TMVA::Tools::Instance();
// Load data
TFile *input(0);
TString fname = "./tmva_class_example.root";
if (!gSystem->AccessPathName( fname )) {
input = TFile::Open( fname ); // check if file in local directory exists
}
else {
TFile::SetCacheFileDir(".");
input = TFile::Open("http://root.cern.ch/files/tmva_class_example.root", "CACHEREAD");
}
if (!input) {
std::cout << "ERROR: could not open data file" << std::endl;
exit(1);
}
TTree* signalTree = (TTree*)input->Get("TreeS");
TTree* background = (TTree*)input->Get("TreeB");
// Setup dataloader
TMVA::DataLoader* dataloader = new TMVA::DataLoader("dataset");
dataloader->AddSignalTree(signalTree);
dataloader->AddBackgroundTree(background);
dataloader->AddVariable("var1");
dataloader->AddVariable("var2");
dataloader->AddVariable("var3");
dataloader->AddVariable("var4");
dataloader->PrepareTrainingAndTestTree("", "SplitMode=Random:NormMode=NumEvents:!V");
// Setup cross-validation with Fisher method
TMVA::CrossValidation cv(dataloader);
cv.BookMethod(TMVA::Types::kFisher, "Fisher", "!H:!V:Fisher");
// Run cross-validation and print results
cv.Evaluate();
TMVA::CrossValidationResult results = cv.GetResults();
results.Print();
}
void TMVACrossValidation()
{
// This loads the library
TMVA::Tools::Instance();
// Load data
TString fname = "./tmva_class_example.root";
if (gSystem->AccessPathName(fname))
gSystem->Exec("curl -O http://root.cern.ch/files/tmva_class_example.root");
TFile *input = TFile::Open(fname);
TTree* signalTree = (TTree*)input->Get("TreeS");
TTree* background = (TTree*)input->Get("TreeB");
// Setup dataloader
TMVA::DataLoader* dataloader = new TMVA::DataLoader("dataset");
dataloader->AddSignalTree(signalTree);
dataloader->AddBackgroundTree(background);
dataloader->AddVariable("var1");
dataloader->AddVariable("var2");
dataloader->AddVariable("var3");
dataloader->AddVariable("var4");
dataloader->PrepareTrainingAndTestTree("", "SplitMode=Random:NormMode=NumEvents:!V");
// Setup cross-validation with Fisher method
TMVA::CrossValidation cv(dataloader);
cv.BookMethod(TMVA::Types::kFisher, "Fisher", "!H:!V:Fisher");
// Run cross-validation and print results
cv.Evaluate();
TMVA::CrossValidationResult results = cv.GetResults();
results.Print();
}