library: libTMVA
#include "TMVA_MethodANNBase.h"

TMVA_MethodANNBase

class description - source file - inheritance tree (.pdf)

class TMVA_MethodANNBase

Inheritance Chart:
TMVA_MethodANNBase
<-
TMVA_MethodCFMlpANN
TMVA_MethodTMlpANN
 

    protected:

      vector<Int_t>* ParseOptionString(TString, Int_t, vector<Int_t>*)

    public:

                          TMVA_MethodANNBase()
                          TMVA_MethodANNBase(const TMVA_MethodANNBase&)
                  virtual ~TMVA_MethodANNBase()
           static TClass* Class()
          virtual TClass* IsA() const
      TMVA_MethodANNBase& operator=(const TMVA_MethodANNBase&)
             virtual void ShowMembers(TMemberInspector& insp, char* parent)
             virtual void Streamer(TBuffer& b)
                     void StreamerNVirtual(TBuffer& b)

Data Members






Class Description


 Base class for all MVA methods using artificial neural networks

_______________________________________________________________________


 TMVA_MethodANNBase( void )







Inline Functions




                       void ~TMVA_MethodANNBase()
             vector<Int_t>* ParseOptionString(TString, Int_t, vector<Int_t>*)
                    TClass* Class()
                    TClass* IsA() const
                       void ShowMembers(TMemberInspector& insp, char* parent)
                       void Streamer(TBuffer& b)
                       void StreamerNVirtual(TBuffer& b)
         TMVA_MethodANNBase TMVA_MethodANNBase(const TMVA_MethodANNBase&)
        TMVA_MethodANNBase& operator=(const TMVA_MethodANNBase&)







Author: Andreas Hoecker, Helge Voss, Kai Voss

Last update: root/tmva $Id: TMVA_MethodANNBase.cxx,v 1.3 2006/05/10 07:36:12 brun Exp $

Copyright  (c) 2005:                                                            *









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