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ROOT
6.06/09
Reference Guide
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ROOT
6.06/09
Reference Guide
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#include <string>#include <iostream>#include <cstdlib>#include "TMath.h"#include "TString.h"#include "TMVA/MethodCFMlpANN_Utils.h"#include "TMVA/Timer.h"
Include dependency graph for MethodCFMlpANN_Utils.cxx:Go to the source code of this file.
Macros | |
| #define | w_ref(a_1, a_2, a_3) fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | ww_ref(a_1, a_2) fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | xeev_ref(a_1, a_2) fVarn2_1(a_1,a_2) |
| #define | w_ref(a_1, a_2, a_3) fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | x_ref(a_1, a_2) fNeur_1.x[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | y_ref(a_1, a_2) fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | ww_ref(a_1, a_2) fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | xeev_ref(a_1, a_2) fVarn2_1(a_1,a_2) |
| #define | delw_ref(a_1, a_2, a_3) fDel_1.delw[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | w_ref(a_1, a_2, a_3) fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | x_ref(a_1, a_2) fNeur_1.x[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | y_ref(a_1, a_2) fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | delta_ref(a_1, a_2, a_3) fDel_1.delta[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | delww_ref(a_1, a_2) fDel_1.delww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | ww_ref(a_1, a_2) fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | del_ref(a_1, a_2) fDel_1.del[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | deltaww_ref(a_1, a_2) fNeur_1.deltaww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | w_ref(a_1, a_2, a_3) fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | ww_ref(a_1, a_2) fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | delta_ref(a_1, a_2, a_3) fDel_1.delta[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | deltaww_ref(a_1, a_2) fNeur_1.deltaww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | y_ref(a_1, a_2) fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | w_ref(a_1, a_2, a_3) fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | ww_ref(a_1, a_2) fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | y_ref(a_1, a_2) fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | y_ref(a_1, a_2) fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | xx_ref(a_1, a_2) fVarn3_1(a_1,a_2) |
| #define | w_ref(a_1, a_2, a_3) fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
| #define | x_ref(a_1, a_2) fNeur_1.x[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | y_ref(a_1, a_2) fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | ww_ref(a_1, a_2) fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
| #define | xx_ref(a_1, a_2) fVarn3_1(a_1,a_2) |
| #define del_ref | ( | a_1, | |
| a_2 | |||
| ) | fDel_1.del[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 476 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_arriere().
| #define delta_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fDel_1.delta[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 573 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_arriere(), and TMVA::MethodCFMlpANN_Utils::Innit().
| #define delta_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fDel_1.delta[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 573 of file MethodCFMlpANN_Utils.cxx.
| #define deltaww_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.deltaww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 574 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_arriere(), and TMVA::MethodCFMlpANN_Utils::Innit().
| #define deltaww_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.deltaww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 574 of file MethodCFMlpANN_Utils.cxx.
| #define delw_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fDel_1.delw[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 469 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_arriere().
| #define delww_ref | ( | a_1, | |
| a_2 | |||
| ) | fDel_1.delww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 474 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_arriere().
| #define w_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 1015 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_arriere(), TMVA::MethodCFMlpANN_Utils::En_avant(), TMVA::MethodCFMlpANN_Utils::En_avant2(), and TMVA::MethodCFMlpANN_Utils::Wini().
| #define w_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 1015 of file MethodCFMlpANN_Utils.cxx.
| #define w_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 1015 of file MethodCFMlpANN_Utils.cxx.
| #define w_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 1015 of file MethodCFMlpANN_Utils.cxx.
| #define w_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 1015 of file MethodCFMlpANN_Utils.cxx.
| #define w_ref | ( | a_1, | |
| a_2, | |||
| a_3 | |||
| ) | fNeur_1.w[((a_3)*max_nNodes_ + (a_2))*max_nLayers_ + a_1 - 187] |
Definition at line 1015 of file MethodCFMlpANN_Utils.cxx.
| #define ww_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1018 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_arriere(), TMVA::MethodCFMlpANN_Utils::En_avant(), TMVA::MethodCFMlpANN_Utils::En_avant2(), and TMVA::MethodCFMlpANN_Utils::Wini().
| #define ww_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1018 of file MethodCFMlpANN_Utils.cxx.
| #define ww_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1018 of file MethodCFMlpANN_Utils.cxx.
| #define ww_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1018 of file MethodCFMlpANN_Utils.cxx.
| #define ww_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1018 of file MethodCFMlpANN_Utils.cxx.
| #define ww_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.ww[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1018 of file MethodCFMlpANN_Utils.cxx.
| #define x_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.x[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1016 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_arriere(), TMVA::MethodCFMlpANN_Utils::En_avant(), and TMVA::MethodCFMlpANN_Utils::En_avant2().
| #define x_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.x[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1016 of file MethodCFMlpANN_Utils.cxx.
| #define x_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.x[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1016 of file MethodCFMlpANN_Utils.cxx.
| #define xeev_ref | ( | a_1, | |
| a_2 | |||
| ) | fVarn2_1(a_1,a_2) |
Definition at line 384 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_avant(), and TMVA::MethodCFMlpANN_Utils::Leclearn().
| #define xeev_ref | ( | a_1, | |
| a_2 | |||
| ) | fVarn2_1(a_1,a_2) |
Definition at line 384 of file MethodCFMlpANN_Utils.cxx.
| #define xx_ref | ( | a_1, | |
| a_2 | |||
| ) | fVarn3_1(a_1,a_2) |
Definition at line 1019 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::En_avant2(), and TMVA::MethodCFMlpANN_Utils::Lecev2().
| #define xx_ref | ( | a_1, | |
| a_2 | |||
| ) | fVarn3_1(a_1,a_2) |
Definition at line 1019 of file MethodCFMlpANN_Utils.cxx.
| #define y_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1017 of file MethodCFMlpANN_Utils.cxx.
Referenced by TMVA::MethodCFMlpANN_Utils::Cout(), TMVA::MethodCFMlpANN_Utils::Cout2(), TMVA::MethodCFMlpANN_Utils::En_arriere(), TMVA::MethodCFMlpANN_Utils::En_avant(), TMVA::MethodCFMlpANN_Utils::En_avant2(), and TMVA::MethodCFMlpANN_Utils::GraphNN().
| #define y_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1017 of file MethodCFMlpANN_Utils.cxx.
| #define y_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1017 of file MethodCFMlpANN_Utils.cxx.
| #define y_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1017 of file MethodCFMlpANN_Utils.cxx.
| #define y_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1017 of file MethodCFMlpANN_Utils.cxx.
| #define y_ref | ( | a_1, | |
| a_2 | |||
| ) | fNeur_1.y[(a_2)*max_nLayers_ + a_1 - 7] |
Definition at line 1017 of file MethodCFMlpANN_Utils.cxx.
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