// @(#)root/tmva $Id$ // Author: Matt Jachowski /********************************************************************************** * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * * Package: TMVA * * Class : TMVA::TNeuronInputAbs * * Web : http://tmva.sourceforge.net * * * * Description: * * TNeuron input calculator -- calculates the sum of the absolute values * * of the weighted inputs * * * * Authors (alphabetical): * * Matt Jachowski - Stanford University, USA * * * * Copyright (c) 2005: * * CERN, Switzerland * * * * Redistribution and use in source and binary forms, with or without * * modification, are permitted according to the terms listed in LICENSE * * (http://tmva.sourceforge.net/LICENSE) * **********************************************************************************/ #ifndef ROOT_TMVA_TNeuronInputAbs #define ROOT_TMVA_TNeuronInputAbs ////////////////////////////////////////////////////////////////////////// // // // TNeuronInputAbs // // // // TNeuron input calculator -- calculates the sum of the absolute // // values of the weighted inputs // // // ////////////////////////////////////////////////////////////////////////// // ROOT_VERSION(5,15,02) = (5<<16)+(15<<8)+2 = 364802 // we use the hardcoded number here since CINT does not easily understand macros // we tried using rootcints -p option, but that causes rootcint to pick up // things from the ROOT version of TMVA #if ROOT_VERSION_CODE >= 364802 #ifndef ROOT_TMathBase #include "TMathBase.h" #endif #else #ifndef ROOT_TMath #include "TMath.h" #endif #endif #ifndef ROOT_TObject #include "TObject.h" #endif #ifndef ROOT_TString #include "TString.h" #endif #ifndef ROOT_TMVA_TNeuronInput #include "TMVA/TNeuronInput.h" #endif #ifndef ROOT_TMVA_TNeuron #include "TMVA/TNeuron.h" #endif namespace TMVA { class TNeuronInputAbs : public TNeuronInput { public: TNeuronInputAbs() {} virtual ~TNeuronInputAbs() {} // calculate the input value for the neuron Double_t GetInput( const TNeuron* neuron ) const { if (neuron->IsInputNeuron()) return 0; Double_t result = 0; for (Int_t i=0; i < neuron->NumPreLinks(); i++) result += TMath::Abs(neuron->PreLinkAt(i)->GetWeightedValue()); return result; } // name of the class TString GetName() { return "Sum of weighted activations (absolute value)"; } ClassDef(TNeuronInputAbs,0) // Calculates the sum of the absolute values of the weighted inputs }; } // namespace TMVA #endif