library: libTMVA
#include "MethodANNBase.h"

TMVA::MethodANNBase

class description - header file - 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:

                           MethodANNBase()
                           MethodANNBase(const TMVA::MethodANNBase&)
                   virtual ~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


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 Base class for all MVA methods using artificial neural networks

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 MethodANNBase( void )




vector<Int_t>* ParseOptionString( TString theOptions, Int_t nvar,                                                       vector<Int_t>* nodes )


 default settings (should be defined in theOption string)



 MethodANNBase( void )




virtual ~MethodANNBase()







Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss

Last update: root/tmva $Id: MethodANNBase.cxx,v 1.3 2006/05/23 19:35:06 brun Exp $

Copyright  (c) 2005:                                                            *









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