TMVA_MethodTMlpANN

class TMVA_MethodTMlpANN : public TMVA_MethodBase, public TMVA_MethodANNBase

    private:

      void CreateMLPOptions()
      void InitTMlpANN()

    public:

                          TMVA_MethodTMlpANN(TString jobName, vector<TString>* theVariables, TTree* theTree = 0, TString theOption = 3000:N-1:N-2, TDirectory* theTargetDir = 0)
                          TMVA_MethodTMlpANN(vector<TString>* theVariables, TString theWeightFile, TDirectory* theTargetDir = NULL)
                          TMVA_MethodTMlpANN(const TMVA_MethodTMlpANN&)
                  virtual ~TMVA_MethodTMlpANN()
           static TClass* Class()
         virtual Double_t GetMvaValue(TMVA_Event*)
          virtual TClass* IsA() const
      TMVA_MethodTMlpANN& operator=(const TMVA_MethodTMlpANN&)
             virtual void PrepareEvaluationTree(TTree* testTree)
             virtual void ReadWeightsFromFile()
                     void SetHiddenLayer(TString hiddenlayer = )
                     void SetTestTree(TTree* testTree)
             virtual void ShowMembers(TMemberInspector& insp, char* parent)
             virtual void Streamer(TBuffer& b)
                     void StreamerNVirtual(TBuffer& b)
             virtual void Train()
             virtual void WriteHistosToFile()
             virtual void WriteWeightsToFile()

Data Members

    private:

      TString fHiddenLayer  string containig the hidden layer structure
        Int_t fNcycles      number of training cylcles
       TTree* fTestTree     TestTree

Class Description

 This is the TMVA TMultiLayerPerceptron interface class. It provides the
 training and testing the ROOT internal MLP class in the TMVA framework

 available learning methods:

       TMultiLayerPerceptron::kStochastic
       TMultiLayerPerceptron::kBatch
       TMultiLayerPerceptron::kSteepestDescent
       TMultiLayerPerceptron::kRibierePolak
       TMultiLayerPerceptron::kFletcherReeves
       TMultiLayerPerceptron::kBFGS

_______________________________________________________________________

 standard constructor which is called by the TMVA_Factory for testing and training

 constructor for TMlpANN method which can only be used for reading a weight file and testing

 parse the option string

 trainning method
 performs training of the neural net. available learning methods:

       TMultiLayerPerceptron::kStochastic
       TMultiLayerPerceptron::kBatch
       TMultiLayerPerceptron::kSteepestDescent
       TMultiLayerPerceptron::kRibierePolak
       TMultiLayerPerceptron::kFletcherReeves
       TMultiLayerPerceptron::kBFGS

 write weights to file

 read weights from file

 evaluate method

Inline Functions

                   Double_t GetMvaValue(TMVA_Event*)
                       void SetHiddenLayer(TString hiddenlayer = )
                    TClass* Class()
                    TClass* IsA() const
                       void ShowMembers(TMemberInspector& insp, char* parent)
                       void Streamer(TBuffer& b)
                       void StreamerNVirtual(TBuffer& b)
         TMVA_MethodTMlpANN TMVA_MethodTMlpANN(const TMVA_MethodTMlpANN&)
        TMVA_MethodTMlpANN& operator=(const TMVA_MethodTMlpANN&)