trainNN.h File Reference

#include "TString.h"

Include dependency graph for trainNN.h:

Go to the source code of this file.

Functions
void	trainNN (TString inputfile, TString outputclass="JetFitterNN", int nIterations=10, int dilutionFactor=2, int nodesFirstLayer=10, int nodesSecondLayer=9, int restartTrainingFrom=0, int nParticlesTraining=2, bool useTrackEstimate=false, int numberBinsErrorEstimate=20)
int	main ()

Function Documentation

main()

int main

(

)

Definition at line 18 of file hello.cxx.

           {
  using namespace asg::msgUserCode;
  ANA_CHECK_SET_TYPE (int);
 
 
  const string myname = "hello: ";
  cout << myname << "Begin." << endl;
  AsgHelloTool htool("myhello");
  ANA_CHECK( htool.setProperty("Message", "Hello from ASG.") );
  ANA_CHECK( htool.setProperty("OutputLevel", MSG::DEBUG) );
  cout << myname << "Initialize" << endl;
  ANA_CHECK( htool.initialize());
  cout << myname << "Show properties" << endl;
  htool.print();
  cout << myname << "Extract property" << endl;
  const string* message = htool.getProperty< string >( "Message" );
  if( ! message ) {
     cout << myname << "Couldn't extract property from the tool" << endl;
     return 1;
  }
  htool.getProperty< string >( "UnknownProperty" );
  htool.getProperty< int >( "Message" );
  cout << myname << "The \"Message\" property of the tool: " << *message << endl;
  cout << myname << "Run 10 times" << endl;
  string line = "---------------------------------------------------";
  cout << line << endl;
  for ( int i=0; i<10; ++i ) {
     if ( i == 3 ) {
        ANA_CHECK( htool.setProperty("OutputLevel", MSG::INFO) );
     }
    htool.talk();
  }
  cout << line << endl;
  cout << myname << "Check failure:" << endl;
  ANA_CHECK( StatusCode (StatusCode::FAILURE));
  cout << myname << "End of failure check" << endl;
  cout << myname << "End." << endl;
  return 0;
}

trainNN()

void trainNN	(	TString	inputfile,
		TString	outputclass = "JetFitterNN",
		int	nIterations = 10,
		int	dilutionFactor = 2,
		int	nodesFirstLayer = 10,
		int	nodesSecondLayer = 9,
		int	restartTrainingFrom = 0,
		int	nParticlesTraining = 2,
		bool	useTrackEstimate = false,
		int	numberBinsErrorEstimate = 20 )