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Reference Guide
TMVAMulticlassApplication.C File Reference

Detailed Description

View in nbviewer Open in SWAN This macro provides a simple example on how to use the trained multiclass classifiers within an analysis module

  • Project : TMVA - a Root-integrated toolkit for multivariate data analysis
  • Package : TMVA
  • Root Macro: TMVAMulticlassApplication
==> Start TMVAMulticlassApp
: Booking "BDTG method" of type "BDT" from dataset/weights/TMVAMulticlass_BDTG.weights.xml.
: Reading weight file: dataset/weights/TMVAMulticlass_BDTG.weights.xml
<HEADER> DataSetInfo : [Default] : Added class "Signal"
<HEADER> DataSetInfo : [Default] : Added class "bg0"
<HEADER> DataSetInfo : [Default] : Added class "bg1"
<HEADER> DataSetInfo : [Default] : Added class "bg2"
: Booked classifier "BDTG" of type: "BDT"
: Booking "DL_CPU method" of type "DL" from dataset/weights/TMVAMulticlass_DL_CPU.weights.xml.
: Reading weight file: dataset/weights/TMVAMulticlass_DL_CPU.weights.xml
: Booked classifier "DL_CPU" of type: "DL"
TMVAMultiClassApplication: Skip DL_GPU method since it has not been trained !
TMVAMultiClassApplication: Skip FDA_GA method since it has not been trained !
: Booking "MLP method" of type "MLP" from dataset/weights/TMVAMulticlass_MLP.weights.xml.
: Reading weight file: dataset/weights/TMVAMulticlass_MLP.weights.xml
<HEADER> MLP : Building Network.
: Initializing weights
: Booked classifier "MLP" of type: "MLP"
: Booking "PDEFoam method" of type "PDEFoam" from dataset/weights/TMVAMulticlass_PDEFoam.weights.xml.
: Reading weight file: dataset/weights/TMVAMulticlass_PDEFoam.weights.xml
: Read foams from file: dataset/weights/TMVAMulticlass_PDEFoam.weights_foams.root
: Booked classifier "PDEFoam" of type: "PDEFoam"
--- TMVAMulticlassApp : Using input file: ./files/tmva_multiclass_example.root
--- Select signal sample
--- End of event loop: Real time 0:00:00, CP time 0.680
--- Created root file: "TMVMulticlassApp.root" containing the MVA output histograms
==> TMVAMulticlassApp is done!
#include <cstdlib>
#include <iostream>
#include <map>
#include <string>
#include <vector>
#include "TFile.h"
#include "TTree.h"
#include "TString.h"
#include "TSystem.h"
#include "TROOT.h"
#include "TStopwatch.h"
#include "TH1F.h"
#include "TMVA/Tools.h"
#include "TMVA/Reader.h"
using namespace TMVA;
void TMVAMulticlassApplication( TString myMethodList = "" )
// Default MVA methods to be trained + tested
std::map<std::string,int> Use;
Use["MLP"] = 1;
Use["BDTG"] = 1;
Use["DL_CPU"] = 1;
Use["DL_GPU"] = 1;
Use["FDA_GA"] = 1;
Use["PDEFoam"] = 1;
std::cout << std::endl;
std::cout << "==> Start TMVAMulticlassApp" << std::endl;
if (myMethodList != "") {
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) it->second = 0;
std::vector<TString> mlist = gTools().SplitString( myMethodList, ',' );
for (UInt_t i=0; i<mlist.size(); i++) {
std::string regMethod(mlist[i]);
if (Use.find(regMethod) == Use.end()) {
std::cout << "Method \"" << regMethod << "\" not known in TMVA under this name. Choose among the following:" << std::endl;
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) std::cout << it->first << " " << std::endl;
std::cout << std::endl;
Use[regMethod] = 1;
// create the Reader object
TMVA::Reader *reader = new TMVA::Reader( "!Color:!Silent" );
// create a set of variables and declare them to the reader
// - the variable names must corresponds in name and type to
// those given in the weight file(s) that you use
Float_t var1, var2, var3, var4;
reader->AddVariable( "var1", &var1 );
reader->AddVariable( "var2", &var2 );
reader->AddVariable( "var3", &var3 );
reader->AddVariable( "var4", &var4 );
// book the MVA methods
TString dir = "dataset/weights/";
TString prefix = "TMVAMulticlass";
for (std::map<std::string,int>::iterator it = Use.begin(); it != Use.end(); it++) {
if (it->second) {
TString methodName = TString(it->first) + TString(" method");
TString weightfile = dir + prefix + TString("_") + TString(it->first) + TString(".weights.xml");
// check if file existing (i.e. method has been trained)
if (!gSystem->AccessPathName( weightfile ))
// file exists
reader->BookMVA( methodName, weightfile );
else {
std::cout << "TMVAMultiClassApplication: Skip " << methodName << " since it has not been trained !" << std::endl;
it->second = 0;
// book output histograms
UInt_t nbin = 100;
TH1F *histMLP_signal(0), *histBDTG_signal(0), *histFDAGA_signal(0), *histPDEFoam_signal(0);
TH1F *histDLCPU_signal(0), *histDLGPU_signal(0);
if (Use["MLP"])
histMLP_signal = new TH1F( "MVA_MLP_signal", "MVA_MLP_signal", nbin, 0., 1.1 );
if (Use["BDTG"])
histBDTG_signal = new TH1F( "MVA_BDTG_signal", "MVA_BDTG_signal", nbin, 0., 1.1 );
if (Use["DL_CPU"])
histDLCPU_signal = new TH1F("MVA_DLCPU_signal", "MVA_DLCPU_signal", nbin, 0., 1.1);
if (Use["DL_GPU"])
histDLGPU_signal = new TH1F("MVA_DLGPU_signal", "MVA_DLGPU_signal", nbin, 0., 1.1);
if (Use["FDA_GA"])
histFDAGA_signal = new TH1F( "MVA_FDA_GA_signal", "MVA_FDA_GA_signal", nbin, 0., 1.1 );
if (Use["PDEFoam"])
histPDEFoam_signal = new TH1F( "MVA_PDEFoam_signal", "MVA_PDEFoam_signal", nbin, 0., 1.1 );
TFile *input(0);
TString fname = "./tmva_example_multiclass.root";
if (!gSystem->AccessPathName( fname )) {
input = TFile::Open( fname ); // check if file in local directory exists
else {
input = TFile::Open("http://root.cern.ch/files/tmva_multiclass_example.root", "CACHEREAD");
if (!input) {
std::cout << "ERROR: could not open data file" << std::endl;
std::cout << "--- TMVAMulticlassApp : Using input file: " << input->GetName() << std::endl;
// prepare the tree
// - here the variable names have to corresponds to your tree
// - you can use the same variables as above which is slightly faster,
// but of course you can use different ones and copy the values inside the event loop
TTree* theTree = (TTree*)input->Get("TreeS");
std::cout << "--- Select signal sample" << std::endl;
theTree->SetBranchAddress( "var1", &var1 );
theTree->SetBranchAddress( "var2", &var2 );
theTree->SetBranchAddress( "var3", &var3 );
theTree->SetBranchAddress( "var4", &var4 );
std::cout << "--- Processing: " << theTree->GetEntries() << " events" << std::endl;
for (Long64_t ievt=0; ievt<theTree->GetEntries();ievt++) {
if (ievt%1000 == 0){
std::cout << "--- ... Processing event: " << ievt << std::endl;
if (Use["MLP"])
histMLP_signal->Fill((reader->EvaluateMulticlass( "MLP method" ))[0]);
if (Use["BDTG"])
histBDTG_signal->Fill((reader->EvaluateMulticlass( "BDTG method" ))[0]);
if (Use["DL_CPU"])
histDLCPU_signal->Fill((reader->EvaluateMulticlass("DL_CPU method"))[0]);
if (Use["DL_GPU"])
histDLGPU_signal->Fill((reader->EvaluateMulticlass("DL_GPU method"))[0]);
if (Use["FDA_GA"])
histFDAGA_signal->Fill((reader->EvaluateMulticlass( "FDA_GA method" ))[0]);
if (Use["PDEFoam"])
histPDEFoam_signal->Fill((reader->EvaluateMulticlass( "PDEFoam method" ))[0]);
// get elapsed time
std::cout << "--- End of event loop: "; sw.Print();
TFile *target = new TFile( "TMVAMulticlassApp.root","RECREATE" );
if (Use["MLP"])
if (Use["BDTG"])
if (Use["DL_CPU"])
if (Use["DL_GPU"])
if (Use["FDA_GA"])
if (Use["PDEFoam"])
std::cout << "--- Created root file: \"TMVMulticlassApp.root\" containing the MVA output histograms" << std::endl;
delete reader;
std::cout << "==> TMVAMulticlassApp is done!" << std::endl << std::endl;
int main( int argc, char** argv )
// Select methods (don't look at this code - not of interest)
TString methodList;
for (int i=1; i<argc; i++) {
TString regMethod(argv[i]);
if(regMethod=="-b" || regMethod=="--batch") continue;
if (!methodList.IsNull()) methodList += TString(",");
methodList += regMethod;
return 0;
unsigned int UInt_t
Definition: RtypesCore.h:46
long long Long64_t
Definition: RtypesCore.h:73
float Float_t
Definition: RtypesCore.h:57
R__EXTERN TSystem * gSystem
Definition: TSystem.h:559
A ROOT file is a suite of consecutive data records (TKey instances) with a well defined format.
Definition: TFile.h:54
static Bool_t SetCacheFileDir(ROOT::Internal::TStringView cacheDir, Bool_t operateDisconnected=kTRUE, Bool_t forceCacheread=kFALSE)
Definition: TFile.h:324
static TFile * Open(const char *name, Option_t *option="", const char *ftitle="", Int_t compress=ROOT::RCompressionSetting::EDefaults::kUseCompiledDefault, Int_t netopt=0)
Create / open a file.
Definition: TFile.cxx:3997
void Close(Option_t *option="") override
Close a file.
Definition: TFile.cxx:879
1-D histogram with a float per channel (see TH1 documentation)}
Definition: TH1.h:575
The Reader class serves to use the MVAs in a specific analysis context.
Definition: Reader.h:64
IMethod * BookMVA(const TString &methodTag, const TString &weightfile)
read method name from weight file
Definition: Reader.cxx:368
const std::vector< Float_t > & EvaluateMulticlass(const TString &methodTag, Double_t aux=0)
evaluates MVA for given set of input variables
Definition: Reader.cxx:630
void AddVariable(const TString &expression, Float_t *)
Add a float variable or expression to the reader.
Definition: Reader.cxx:303
static Tools & Instance()
Definition: Tools.cxx:75
std::vector< TString > SplitString(const TString &theOpt, const char separator) const
splits the option string at 'separator' and fills the list 'splitV' with the primitive strings
Definition: Tools.cxx:1211
Stopwatch class.
Definition: TStopwatch.h:28
void Start(Bool_t reset=kTRUE)
Start the stopwatch.
Definition: TStopwatch.cxx:58
void Stop()
Stop the stopwatch.
Definition: TStopwatch.cxx:77
void Print(Option_t *option="") const
Print the real and cpu time passed between the start and stop events.
Definition: TStopwatch.cxx:219
Basic string class.
Definition: TString.h:136
Bool_t IsNull() const
Definition: TString.h:407
virtual Bool_t AccessPathName(const char *path, EAccessMode mode=kFileExists)
Returns FALSE if one can access a file using the specified access mode.
Definition: TSystem.cxx:1294
A TTree represents a columnar dataset.
Definition: TTree.h:79
virtual Int_t SetBranchAddress(const char *bname, void *add, TBranch **ptr=0)
Change branch address, dealing with clone trees properly.
Definition: TTree.cxx:8332
virtual Long64_t GetEntries() const
Definition: TTree.h:459
virtual Int_t GetEntry(Long64_t entry=0, Int_t getall=0)
Read all branches of entry and return total number of bytes read.
Definition: TTree.cxx:5601
int main(int argc, char **argv)
create variable transformations
Tools & gTools()
Andreas Hoecker

Definition in file TMVAMulticlassApplication.C.