Revision e60bc961b69056a4925f129d0a2042471f999042 authored by Rene Brun on 19 September 2006, 14:37:13 UTC, committed by Rene Brun on 19 September 2006, 14:37:13 UTC
some changes in the class TGeoPNEntry (needed for alignment purposes):

1. Constructor of TGeoPNEntry performs a check upon definition of a symbolic link to a physical node. The check is done redundantly also upon creation of a physical node starting from a symbolic link to prevent mis-usage of these objects in-between geometries.
2. Allows storage of an additional user-defined TGeoHMatrix. The matrix should be created by the user but
once TGeoPNEntry::SetMatrix() is called becomes owned by TGeoManager.


git-svn-id: http://root.cern.ch/svn/root/trunk@16298 27541ba8-7e3a-0410-8455-c3a389f83636
1 parent cc15e88
Raw File
MethodVariable.h
// @(#)root/tmva $Id: MethodVariable.h,v 1.2 2006/05/23 13:03:15 brun Exp $
// Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss

/**********************************************************************************
 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis       *
 * Package: TMVA                                                                  *
 * Class  : MethodVariable                                                        *
 *                                                                                *
 * Description:                                                                   *
 *      Wrapper class for a single variable "MVA"; this is required for           *
 *      the evaluation of the single variable discrimination performance          *
 *                                                                                *
 * Authors (alphabetical):                                                        *
 *      Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland              *
 *      Xavier Prudent  <prudent@lapp.in2p3.fr>  - LAPP, France                   *
 *      Helge Voss      <Helge.Voss@cern.ch>     - MPI-KP Heidelberg, Germany     *
 *      Kai Voss        <Kai.Voss@cern.ch>       - U. of Victoria, Canada         *
 *                                                                                *
 * Copyright (c) 2005:                                                            *
 *      CERN, Switzerland,                                                        *
 *      U. of Victoria, Canada,                                                   *
 *      MPI-KP Heidelberg, Germany,                                               *
 *      LAPP, Annecy, France                                                      *
 *                                                                                *
 * Redistribution and use in source and binary forms, with or without             *
 * modification, are permitted according to the terms listed in LICENSE           *
 * (http://mva.sourceforge.net/license.txt)                                       *
 *                                                                                *
 * File and Version Information:                                                  *
 * $Id: MethodVariable.h,v 1.2 2006/05/23 13:03:15 brun Exp $
 **********************************************************************************/

#ifndef ROOT_TMVA_MethodVariable
#define ROOT_TMVA_MethodVariable

//////////////////////////////////////////////////////////////////////////
//                                                                      //
// MethodVariable                                                       //
//                                                                      //
// Wrapper class for a single variable "MVA"; this is required for      //
// the evaluation of the single variable discrimination performance     //
//                                                                      //
//////////////////////////////////////////////////////////////////////////

#ifndef ROOT_TMVA_MethodBase
#include "TMVA/MethodBase.h"
#endif

namespace TMVA {

   class MethodVariable : public MethodBase {

   public:

      MethodVariable( TString jobName,
                      std::vector<TString>* theVariables,
                      TTree* theTree = 0,
                      TString theOption = "Variable",
                      TDirectory* theTargetDir = 0 );

      virtual ~MethodVariable( void );

      // training method
      virtual void Train( void );

      // write weights to file
      virtual void WriteWeightsToFile( void );

      // read weights from file
      virtual void ReadWeightsFromFile( void );

      // calculate the MVA value
      virtual Double_t GetMvaValue(Event *e);

      // write method specific histos to target file
      virtual void WriteHistosToFile( void ) ;

   protected:

   private:

      ClassDef(MethodVariable,0) // Wrapper class for a single variable "MVA"
   };

} // namespace TMVA

#endif
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