// // File generated by core/utils/src/rootcint_tmp at Wed Mar 14 10:30:56 2018 // Do NOT change. Changes will be lost next time file is generated // #define R__DICTIONARY_FILENAME mathdImlpdIsrcdIG__MLP #include "RConfig.h" //rootcint 4834 #if !defined(R__ACCESS_IN_SYMBOL) //Break the privacy of classes -- Disabled for the moment #define private public #define protected public #endif // Since CINT ignores the std namespace, we need to do so in this file. namespace std {} using namespace std; #include "G__MLP.h" #include "TClass.h" #include "TBuffer.h" #include "TMemberInspector.h" #include "TInterpreter.h" #include "TVirtualMutex.h" #include "TError.h" #ifndef G__ROOT #define G__ROOT #endif #include "RtypesImp.h" #include "TIsAProxy.h" #include "TFileMergeInfo.h" // Direct notice to TROOT of the dictionary's loading. namespace { static struct DictInit { DictInit() { ROOT::RegisterModule(); } } __TheDictionaryInitializer; } // START OF SHADOWS namespace ROOT { namespace Shadow { } // of namespace Shadow } // of namespace ROOT // END OF SHADOWS namespace ROOT { void TNeuron_ShowMembers(void *obj, TMemberInspector &R__insp); static void *new_TNeuron(void *p = 0); static void *newArray_TNeuron(Long_t size, void *p); static void delete_TNeuron(void *p); static void deleteArray_TNeuron(void *p); static void destruct_TNeuron(void *p); // Function generating the singleton type initializer static TGenericClassInfo *GenerateInitInstanceLocal(const ::TNeuron*) { ::TNeuron *ptr = 0; static ::TVirtualIsAProxy* isa_proxy = new ::TInstrumentedIsAProxy< ::TNeuron >(0); static ::ROOT::TGenericClassInfo instance("TNeuron", ::TNeuron::Class_Version(), "include/TNeuron.h", 48, typeid(::TNeuron), DefineBehavior(ptr, ptr), &::TNeuron::Dictionary, isa_proxy, 4, sizeof(::TNeuron) ); instance.SetNew(&new_TNeuron); instance.SetNewArray(&newArray_TNeuron); instance.SetDelete(&delete_TNeuron); instance.SetDeleteArray(&deleteArray_TNeuron); instance.SetDestructor(&destruct_TNeuron); return &instance; } TGenericClassInfo *GenerateInitInstance(const ::TNeuron*) { return GenerateInitInstanceLocal((::TNeuron*)0); } // Static variable to force the class initialization static ::ROOT::TGenericClassInfo *_R__UNIQUE_(Init) = GenerateInitInstanceLocal((const ::TNeuron*)0x0); R__UseDummy(_R__UNIQUE_(Init)); } // end of namespace ROOT namespace ROOT { void TSynapse_ShowMembers(void *obj, TMemberInspector &R__insp); static void *new_TSynapse(void *p = 0); static void *newArray_TSynapse(Long_t size, void *p); static void delete_TSynapse(void *p); static void deleteArray_TSynapse(void *p); static void destruct_TSynapse(void *p); // Function generating the singleton type initializer static TGenericClassInfo *GenerateInitInstanceLocal(const ::TSynapse*) { ::TSynapse *ptr = 0; static ::TVirtualIsAProxy* isa_proxy = new ::TInstrumentedIsAProxy< ::TSynapse >(0); static ::ROOT::TGenericClassInfo instance("TSynapse", ::TSynapse::Class_Version(), "include/TSynapse.h", 32, typeid(::TSynapse), DefineBehavior(ptr, ptr), &::TSynapse::Dictionary, isa_proxy, 4, sizeof(::TSynapse) ); instance.SetNew(&new_TSynapse); instance.SetNewArray(&newArray_TSynapse); instance.SetDelete(&delete_TSynapse); instance.SetDeleteArray(&deleteArray_TSynapse); instance.SetDestructor(&destruct_TSynapse); return &instance; } TGenericClassInfo *GenerateInitInstance(const ::TSynapse*) { return GenerateInitInstanceLocal((::TSynapse*)0); } // Static variable to force the class initialization static ::ROOT::TGenericClassInfo *_R__UNIQUE_(Init) = GenerateInitInstanceLocal((const ::TSynapse*)0x0); R__UseDummy(_R__UNIQUE_(Init)); } // end of namespace ROOT namespace ROOT { void TMultiLayerPerceptron_ShowMembers(void *obj, TMemberInspector &R__insp); static void *new_TMultiLayerPerceptron(void *p = 0); static void *newArray_TMultiLayerPerceptron(Long_t size, void *p); static void delete_TMultiLayerPerceptron(void *p); static void deleteArray_TMultiLayerPerceptron(void *p); static void destruct_TMultiLayerPerceptron(void *p); // Function generating the singleton type initializer static TGenericClassInfo *GenerateInitInstanceLocal(const ::TMultiLayerPerceptron*) { ::TMultiLayerPerceptron *ptr = 0; static ::TVirtualIsAProxy* isa_proxy = new ::TInstrumentedIsAProxy< ::TMultiLayerPerceptron >(0); static ::ROOT::TGenericClassInfo instance("TMultiLayerPerceptron", ::TMultiLayerPerceptron::Class_Version(), "include/TMultiLayerPerceptron.h", 58, typeid(::TMultiLayerPerceptron), DefineBehavior(ptr, ptr), &::TMultiLayerPerceptron::Dictionary, isa_proxy, 4, sizeof(::TMultiLayerPerceptron) ); instance.SetNew(&new_TMultiLayerPerceptron); instance.SetNewArray(&newArray_TMultiLayerPerceptron); instance.SetDelete(&delete_TMultiLayerPerceptron); instance.SetDeleteArray(&deleteArray_TMultiLayerPerceptron); instance.SetDestructor(&destruct_TMultiLayerPerceptron); return &instance; } TGenericClassInfo *GenerateInitInstance(const ::TMultiLayerPerceptron*) { return GenerateInitInstanceLocal((::TMultiLayerPerceptron*)0); } // Static variable to force the class initialization static ::ROOT::TGenericClassInfo *_R__UNIQUE_(Init) = GenerateInitInstanceLocal((const ::TMultiLayerPerceptron*)0x0); R__UseDummy(_R__UNIQUE_(Init)); } // end of namespace ROOT namespace ROOT { void TMLPAnalyzer_ShowMembers(void *obj, TMemberInspector &R__insp); static void delete_TMLPAnalyzer(void *p); static void deleteArray_TMLPAnalyzer(void *p); static void destruct_TMLPAnalyzer(void *p); // Function generating the singleton type initializer static TGenericClassInfo *GenerateInitInstanceLocal(const ::TMLPAnalyzer*) { ::TMLPAnalyzer *ptr = 0; static ::TVirtualIsAProxy* isa_proxy = new ::TInstrumentedIsAProxy< ::TMLPAnalyzer >(0); static ::ROOT::TGenericClassInfo instance("TMLPAnalyzer", ::TMLPAnalyzer::Class_Version(), "include/TMLPAnalyzer.h", 38, typeid(::TMLPAnalyzer), DefineBehavior(ptr, ptr), &::TMLPAnalyzer::Dictionary, isa_proxy, 4, sizeof(::TMLPAnalyzer) ); instance.SetDelete(&delete_TMLPAnalyzer); instance.SetDeleteArray(&deleteArray_TMLPAnalyzer); instance.SetDestructor(&destruct_TMLPAnalyzer); return &instance; } TGenericClassInfo *GenerateInitInstance(const ::TMLPAnalyzer*) { return GenerateInitInstanceLocal((::TMLPAnalyzer*)0); } // Static variable to force the class initialization static ::ROOT::TGenericClassInfo *_R__UNIQUE_(Init) = GenerateInitInstanceLocal((const ::TMLPAnalyzer*)0x0); R__UseDummy(_R__UNIQUE_(Init)); } // end of namespace ROOT //______________________________________________________________________________ atomic_TClass_ptr TNeuron::fgIsA(0); // static to hold class pointer //______________________________________________________________________________ const char *TNeuron::Class_Name() { return "TNeuron"; } //______________________________________________________________________________ const char *TNeuron::ImplFileName() { return ::ROOT::GenerateInitInstanceLocal((const ::TNeuron*)0x0)->GetImplFileName(); } //______________________________________________________________________________ int TNeuron::ImplFileLine() { return ::ROOT::GenerateInitInstanceLocal((const ::TNeuron*)0x0)->GetImplFileLine(); } //______________________________________________________________________________ void TNeuron::Dictionary() { fgIsA = ::ROOT::GenerateInitInstanceLocal((const ::TNeuron*)0x0)->GetClass(); } //______________________________________________________________________________ TClass *TNeuron::Class() { if (!fgIsA) { R__LOCKGUARD2(gCINTMutex); if(!fgIsA) {fgIsA = ::ROOT::GenerateInitInstanceLocal((const ::TNeuron*)0x0)->GetClass();} } return fgIsA; } //______________________________________________________________________________ atomic_TClass_ptr TSynapse::fgIsA(0); // static to hold class pointer //______________________________________________________________________________ const char *TSynapse::Class_Name() { return "TSynapse"; } //______________________________________________________________________________ const char *TSynapse::ImplFileName() { return ::ROOT::GenerateInitInstanceLocal((const ::TSynapse*)0x0)->GetImplFileName(); } //______________________________________________________________________________ int TSynapse::ImplFileLine() { return ::ROOT::GenerateInitInstanceLocal((const ::TSynapse*)0x0)->GetImplFileLine(); } //______________________________________________________________________________ void TSynapse::Dictionary() { fgIsA = ::ROOT::GenerateInitInstanceLocal((const ::TSynapse*)0x0)->GetClass(); } //______________________________________________________________________________ TClass *TSynapse::Class() { if (!fgIsA) { R__LOCKGUARD2(gCINTMutex); if(!fgIsA) {fgIsA = ::ROOT::GenerateInitInstanceLocal((const ::TSynapse*)0x0)->GetClass();} } return fgIsA; } //______________________________________________________________________________ atomic_TClass_ptr TMultiLayerPerceptron::fgIsA(0); // static to hold class pointer //______________________________________________________________________________ const char *TMultiLayerPerceptron::Class_Name() { return "TMultiLayerPerceptron"; } //______________________________________________________________________________ const char *TMultiLayerPerceptron::ImplFileName() { return ::ROOT::GenerateInitInstanceLocal((const ::TMultiLayerPerceptron*)0x0)->GetImplFileName(); } //______________________________________________________________________________ int TMultiLayerPerceptron::ImplFileLine() { return ::ROOT::GenerateInitInstanceLocal((const ::TMultiLayerPerceptron*)0x0)->GetImplFileLine(); } //______________________________________________________________________________ void TMultiLayerPerceptron::Dictionary() { fgIsA = ::ROOT::GenerateInitInstanceLocal((const ::TMultiLayerPerceptron*)0x0)->GetClass(); } //______________________________________________________________________________ TClass *TMultiLayerPerceptron::Class() { if (!fgIsA) { R__LOCKGUARD2(gCINTMutex); if(!fgIsA) {fgIsA = ::ROOT::GenerateInitInstanceLocal((const ::TMultiLayerPerceptron*)0x0)->GetClass();} } return fgIsA; } //______________________________________________________________________________ atomic_TClass_ptr TMLPAnalyzer::fgIsA(0); // static to hold class pointer //______________________________________________________________________________ const char *TMLPAnalyzer::Class_Name() { return "TMLPAnalyzer"; } //______________________________________________________________________________ const char *TMLPAnalyzer::ImplFileName() { return ::ROOT::GenerateInitInstanceLocal((const ::TMLPAnalyzer*)0x0)->GetImplFileName(); } //______________________________________________________________________________ int TMLPAnalyzer::ImplFileLine() { return ::ROOT::GenerateInitInstanceLocal((const ::TMLPAnalyzer*)0x0)->GetImplFileLine(); } //______________________________________________________________________________ void TMLPAnalyzer::Dictionary() { fgIsA = ::ROOT::GenerateInitInstanceLocal((const ::TMLPAnalyzer*)0x0)->GetClass(); } //______________________________________________________________________________ TClass *TMLPAnalyzer::Class() { if (!fgIsA) { R__LOCKGUARD2(gCINTMutex); if(!fgIsA) {fgIsA = ::ROOT::GenerateInitInstanceLocal((const ::TMLPAnalyzer*)0x0)->GetClass();} } return fgIsA; } //______________________________________________________________________________ void TNeuron::Streamer(TBuffer &R__b) { // Stream an object of class TNeuron. if (R__b.IsReading()) { R__b.ReadClassBuffer(TNeuron::Class(),this); } else { R__b.WriteClassBuffer(TNeuron::Class(),this); } } //______________________________________________________________________________ void TNeuron::ShowMembers(TMemberInspector &R__insp) { // Inspect the data members of an object of class TNeuron. TClass *R__cl = ::TNeuron::IsA(); if (R__cl || R__insp.IsA()) { } R__insp.Inspect(R__cl, R__insp.GetParent(), "fpre", &fpre); R__insp.InspectMember(fpre, "fpre."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fpost", &fpost); R__insp.InspectMember(fpost, "fpost."); R__insp.Inspect(R__cl, R__insp.GetParent(), "flayer", &flayer); R__insp.InspectMember(flayer, "flayer."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fWeight", &fWeight); R__insp.Inspect(R__cl, R__insp.GetParent(), "fNorm[2]", fNorm); R__insp.Inspect(R__cl, R__insp.GetParent(), "fType", &fType); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fExtF", &fExtF); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fExtD", &fExtD); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fFormula", &fFormula); R__insp.Inspect(R__cl, R__insp.GetParent(), "fIndex", &fIndex); R__insp.Inspect(R__cl, R__insp.GetParent(), "fNewInput", &fNewInput); R__insp.Inspect(R__cl, R__insp.GetParent(), "fInput", &fInput); R__insp.Inspect(R__cl, R__insp.GetParent(), "fNewValue", &fNewValue); R__insp.Inspect(R__cl, R__insp.GetParent(), "fValue", &fValue); R__insp.Inspect(R__cl, R__insp.GetParent(), "fNewDeriv", &fNewDeriv); R__insp.Inspect(R__cl, R__insp.GetParent(), "fDerivative", &fDerivative); R__insp.Inspect(R__cl, R__insp.GetParent(), "fNewDeDw", &fNewDeDw); R__insp.Inspect(R__cl, R__insp.GetParent(), "fDeDw", &fDeDw); R__insp.Inspect(R__cl, R__insp.GetParent(), "fDEDw", &fDEDw); TNamed::ShowMembers(R__insp); } namespace ROOT { // Wrappers around operator new static void *new_TNeuron(void *p) { return p ? new(p) ::TNeuron : new ::TNeuron; } static void *newArray_TNeuron(Long_t nElements, void *p) { return p ? new(p) ::TNeuron[nElements] : new ::TNeuron[nElements]; } // Wrapper around operator delete static void delete_TNeuron(void *p) { delete ((::TNeuron*)p); } static void deleteArray_TNeuron(void *p) { delete [] ((::TNeuron*)p); } static void destruct_TNeuron(void *p) { typedef ::TNeuron current_t; ((current_t*)p)->~current_t(); } } // end of namespace ROOT for class ::TNeuron //______________________________________________________________________________ void TSynapse::Streamer(TBuffer &R__b) { // Stream an object of class TSynapse. if (R__b.IsReading()) { R__b.ReadClassBuffer(TSynapse::Class(),this); } else { R__b.WriteClassBuffer(TSynapse::Class(),this); } } //______________________________________________________________________________ void TSynapse::ShowMembers(TMemberInspector &R__insp) { // Inspect the data members of an object of class TSynapse. TClass *R__cl = ::TSynapse::IsA(); if (R__cl || R__insp.IsA()) { } R__insp.Inspect(R__cl, R__insp.GetParent(), "*fpre", &fpre); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fpost", &fpost); R__insp.Inspect(R__cl, R__insp.GetParent(), "fweight", &fweight); R__insp.Inspect(R__cl, R__insp.GetParent(), "fDEDw", &fDEDw); TObject::ShowMembers(R__insp); } namespace ROOT { // Wrappers around operator new static void *new_TSynapse(void *p) { return p ? new(p) ::TSynapse : new ::TSynapse; } static void *newArray_TSynapse(Long_t nElements, void *p) { return p ? new(p) ::TSynapse[nElements] : new ::TSynapse[nElements]; } // Wrapper around operator delete static void delete_TSynapse(void *p) { delete ((::TSynapse*)p); } static void deleteArray_TSynapse(void *p) { delete [] ((::TSynapse*)p); } static void destruct_TSynapse(void *p) { typedef ::TSynapse current_t; ((current_t*)p)->~current_t(); } } // end of namespace ROOT for class ::TSynapse //______________________________________________________________________________ void TMultiLayerPerceptron::Streamer(TBuffer &R__b) { // Stream an object of class TMultiLayerPerceptron. if (R__b.IsReading()) { R__b.ReadClassBuffer(TMultiLayerPerceptron::Class(),this); } else { R__b.WriteClassBuffer(TMultiLayerPerceptron::Class(),this); } } //______________________________________________________________________________ void TMultiLayerPerceptron::ShowMembers(TMemberInspector &R__insp) { // Inspect the data members of an object of class TMultiLayerPerceptron. TClass *R__cl = ::TMultiLayerPerceptron::IsA(); if (R__cl || R__insp.IsA()) { } R__insp.Inspect(R__cl, R__insp.GetParent(), "*fData", &fData); R__insp.Inspect(R__cl, R__insp.GetParent(), "fCurrentTree", &fCurrentTree); R__insp.Inspect(R__cl, R__insp.GetParent(), "fCurrentTreeWeight", &fCurrentTreeWeight); R__insp.Inspect(R__cl, R__insp.GetParent(), "fNetwork", &fNetwork); R__insp.InspectMember(fNetwork, "fNetwork."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fFirstLayer", &fFirstLayer); R__insp.InspectMember(fFirstLayer, "fFirstLayer."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fLastLayer", &fLastLayer); R__insp.InspectMember(fLastLayer, "fLastLayer."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fSynapses", &fSynapses); R__insp.InspectMember(fSynapses, "fSynapses."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fStructure", &fStructure); R__insp.InspectMember(fStructure, "fStructure."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fWeight", &fWeight); R__insp.InspectMember(fWeight, "fWeight."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fType", &fType); R__insp.Inspect(R__cl, R__insp.GetParent(), "fOutType", &fOutType); R__insp.Inspect(R__cl, R__insp.GetParent(), "fextF", &fextF); R__insp.InspectMember(fextF, "fextF."); R__insp.Inspect(R__cl, R__insp.GetParent(), "fextD", &fextD); R__insp.InspectMember(fextD, "fextD."); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fTraining", &fTraining); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fTest", &fTest); R__insp.Inspect(R__cl, R__insp.GetParent(), "fLearningMethod", &fLearningMethod); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fEventWeight", &fEventWeight); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fManager", &fManager); R__insp.Inspect(R__cl, R__insp.GetParent(), "fEta", &fEta); R__insp.Inspect(R__cl, R__insp.GetParent(), "fEpsilon", &fEpsilon); R__insp.Inspect(R__cl, R__insp.GetParent(), "fDelta", &fDelta); R__insp.Inspect(R__cl, R__insp.GetParent(), "fEtaDecay", &fEtaDecay); R__insp.Inspect(R__cl, R__insp.GetParent(), "fTau", &fTau); R__insp.Inspect(R__cl, R__insp.GetParent(), "fLastAlpha", &fLastAlpha); R__insp.Inspect(R__cl, R__insp.GetParent(), "fReset", &fReset); R__insp.Inspect(R__cl, R__insp.GetParent(), "fTrainingOwner", &fTrainingOwner); R__insp.Inspect(R__cl, R__insp.GetParent(), "fTestOwner", &fTestOwner); TObject::ShowMembers(R__insp); } namespace ROOT { // Wrappers around operator new static void *new_TMultiLayerPerceptron(void *p) { return p ? new(p) ::TMultiLayerPerceptron : new ::TMultiLayerPerceptron; } static void *newArray_TMultiLayerPerceptron(Long_t nElements, void *p) { return p ? new(p) ::TMultiLayerPerceptron[nElements] : new ::TMultiLayerPerceptron[nElements]; } // Wrapper around operator delete static void delete_TMultiLayerPerceptron(void *p) { delete ((::TMultiLayerPerceptron*)p); } static void deleteArray_TMultiLayerPerceptron(void *p) { delete [] ((::TMultiLayerPerceptron*)p); } static void destruct_TMultiLayerPerceptron(void *p) { typedef ::TMultiLayerPerceptron current_t; ((current_t*)p)->~current_t(); } } // end of namespace ROOT for class ::TMultiLayerPerceptron //______________________________________________________________________________ void TMLPAnalyzer::Streamer(TBuffer &R__b) { // Stream an object of class TMLPAnalyzer. if (R__b.IsReading()) { R__b.ReadClassBuffer(TMLPAnalyzer::Class(),this); } else { R__b.WriteClassBuffer(TMLPAnalyzer::Class(),this); } } //______________________________________________________________________________ void TMLPAnalyzer::ShowMembers(TMemberInspector &R__insp) { // Inspect the data members of an object of class TMLPAnalyzer. TClass *R__cl = ::TMLPAnalyzer::IsA(); if (R__cl || R__insp.IsA()) { } R__insp.Inspect(R__cl, R__insp.GetParent(), "*fNetwork", &fNetwork); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fAnalysisTree", &fAnalysisTree); R__insp.Inspect(R__cl, R__insp.GetParent(), "*fIOTree", &fIOTree); TObject::ShowMembers(R__insp); } namespace ROOT { // Wrapper around operator delete static void delete_TMLPAnalyzer(void *p) { delete ((::TMLPAnalyzer*)p); } static void deleteArray_TMLPAnalyzer(void *p) { delete [] ((::TMLPAnalyzer*)p); } static void destruct_TMLPAnalyzer(void *p) { typedef ::TMLPAnalyzer current_t; ((current_t*)p)->~current_t(); } } // end of namespace ROOT for class ::TMLPAnalyzer /******************************************************** * math/mlp/src/G__MLP.cxx * CAUTION: DON'T CHANGE THIS FILE. THIS FILE IS AUTOMATICALLY GENERATED * FROM HEADER FILES LISTED IN G__setup_cpp_environmentXXX(). * CHANGE THOSE HEADER FILES AND REGENERATE THIS FILE. ********************************************************/ #ifdef G__MEMTEST #undef malloc #undef free #endif #if defined(__GNUC__) && __GNUC__ >= 4 && ((__GNUC_MINOR__ == 2 && __GNUC_PATCHLEVEL__ >= 1) || (__GNUC_MINOR__ >= 3)) #pragma GCC diagnostic ignored "-Wstrict-aliasing" #endif extern "C" void G__cpp_reset_tagtableG__MLP(); extern "C" void G__set_cpp_environmentG__MLP() { G__add_compiledheader("TObject.h"); G__add_compiledheader("TMemberInspector.h"); G__add_compiledheader("TMLPAnalyzer.h"); G__add_compiledheader("TMultiLayerPerceptron.h"); G__add_compiledheader("TNeuron.h"); G__add_compiledheader("TSynapse.h"); G__cpp_reset_tagtableG__MLP(); } #include extern "C" int G__cpp_dllrevG__MLP() { return(30051515); } /********************************************************* * Member function Interface Method *********************************************************/ /* TNeuron */ static int G__G__MLP_108_0_1(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TNeuron* p = NULL; char* gvp = (char*) G__getgvp(); switch (libp->paran) { case 5: //m: 5 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TNeuron( (TNeuron::ENeuronType) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4])); } else { p = new((void*) gvp) TNeuron( (TNeuron::ENeuronType) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4])); } break; case 4: //m: 4 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TNeuron( (TNeuron::ENeuronType) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3])); } else { p = new((void*) gvp) TNeuron( (TNeuron::ENeuronType) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3])); } break; case 3: //m: 3 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TNeuron( (TNeuron::ENeuronType) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2])); } else { p = new((void*) gvp) TNeuron( (TNeuron::ENeuronType) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2])); } break; case 2: //m: 2 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TNeuron((TNeuron::ENeuronType) G__int(libp->para[0]), (const char*) G__int(libp->para[1])); } else { p = new((void*) gvp) TNeuron((TNeuron::ENeuronType) G__int(libp->para[0]), (const char*) G__int(libp->para[1])); } break; case 1: //m: 1 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TNeuron((TNeuron::ENeuronType) G__int(libp->para[0])); } else { p = new((void*) gvp) TNeuron((TNeuron::ENeuronType) G__int(libp->para[0])); } break; case 0: int n = G__getaryconstruct(); if (n) { if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TNeuron[n]; } else { p = new((void*) gvp) TNeuron[n]; } } else { if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TNeuron; } else { p = new((void*) gvp) TNeuron; } } break; } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TNeuron)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_2(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) ((const TNeuron*) G__getstructoffset())->GetPre((Int_t) G__int(libp->para[0]))); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_3(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) ((const TNeuron*) G__getstructoffset())->GetPost((Int_t) G__int(libp->para[0]))); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_4(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) ((const TNeuron*) G__getstructoffset())->GetInLayer((Int_t) G__int(libp->para[0]))); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_5(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) ((TNeuron*) G__getstructoffset())->UseBranch((TTree*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]))); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_6(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetInput()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_7(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetValue()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_8(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetDerivative()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_9(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetError()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_10(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetTarget()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_11(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetDeDw()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_12(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetBranch()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_13(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) ((const TNeuron*) G__getstructoffset())->GetType()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_14(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TNeuron*) G__getstructoffset())->SetWeight((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_15(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetWeight()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_16(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TNeuron*) G__getstructoffset())->SetNormalisation((Double_t) G__double(libp->para[0]), (Double_t) G__double(libp->para[1])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_17(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 68, (long) ((const TNeuron*) G__getstructoffset())->GetNormalisation()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_18(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((const TNeuron*) G__getstructoffset())->SetNewEvent(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_19(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TNeuron*) G__getstructoffset())->SetDEDw((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_20(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TNeuron*) G__getstructoffset())->GetDEDw()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_21(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TNeuron*) G__getstructoffset())->ForceExternalValue((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_22(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TNeuron*) G__getstructoffset())->AddInLayer((TNeuron*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_29(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) TNeuron::Class()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_30(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TNeuron::Class_Name()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_31(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 115, (long) TNeuron::Class_Version()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_32(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TNeuron::Dictionary(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_36(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TNeuron*) G__getstructoffset())->StreamerNVirtual(*(TBuffer*) libp->para[0].ref); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_37(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TNeuron::DeclFileName()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_38(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) TNeuron::ImplFileLine()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_39(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TNeuron::ImplFileName()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_108_0_40(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) TNeuron::DeclFileLine()); return(1 || funcname || hash || result7 || libp) ; } // automatic destructor typedef TNeuron G__TTNeuron; static int G__G__MLP_108_0_41(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { char* gvp = (char*) G__getgvp(); long soff = G__getstructoffset(); int n = G__getaryconstruct(); // //has_a_delete: 1 //has_own_delete1arg: 0 //has_own_delete2arg: 0 // if (!soff) { return(1); } if (n) { if (gvp == (char*)G__PVOID) { delete[] (TNeuron*) soff; } else { G__setgvp((long) G__PVOID); for (int i = n - 1; i >= 0; --i) { ((TNeuron*) (soff+(sizeof(TNeuron)*i)))->~G__TTNeuron(); } G__setgvp((long)gvp); } } else { if (gvp == (char*)G__PVOID) { delete (TNeuron*) soff; } else { G__setgvp((long) G__PVOID); ((TNeuron*) (soff))->~G__TTNeuron(); G__setgvp((long)gvp); } } G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } /* TSynapse */ static int G__G__MLP_109_0_1(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TSynapse* p = NULL; char* gvp = (char*) G__getgvp(); int n = G__getaryconstruct(); if (n) { if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TSynapse[n]; } else { p = new((void*) gvp) TSynapse[n]; } } else { if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TSynapse; } else { p = new((void*) gvp) TSynapse; } } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TSynapse)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_2(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TSynapse* p = NULL; char* gvp = (char*) G__getgvp(); switch (libp->paran) { case 3: //m: 3 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TSynapse( (TNeuron*) G__int(libp->para[0]), (TNeuron*) G__int(libp->para[1]) , (Double_t) G__double(libp->para[2])); } else { p = new((void*) gvp) TSynapse( (TNeuron*) G__int(libp->para[0]), (TNeuron*) G__int(libp->para[1]) , (Double_t) G__double(libp->para[2])); } break; case 2: //m: 2 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TSynapse((TNeuron*) G__int(libp->para[0]), (TNeuron*) G__int(libp->para[1])); } else { p = new((void*) gvp) TSynapse((TNeuron*) G__int(libp->para[0]), (TNeuron*) G__int(libp->para[1])); } break; } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TSynapse)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_3(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TSynapse*) G__getstructoffset())->SetPre((TNeuron*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_4(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TSynapse*) G__getstructoffset())->SetPost((TNeuron*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_5(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) ((const TSynapse*) G__getstructoffset())->GetPre()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_6(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) ((const TSynapse*) G__getstructoffset())->GetPost()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_7(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TSynapse*) G__getstructoffset())->SetWeight((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_8(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TSynapse*) G__getstructoffset())->GetWeight()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_9(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TSynapse*) G__getstructoffset())->GetValue()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_10(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TSynapse*) G__getstructoffset())->GetDeDw()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_11(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TSynapse*) G__getstructoffset())->SetDEDw((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_12(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TSynapse*) G__getstructoffset())->GetDEDw()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_13(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) TSynapse::Class()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_14(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TSynapse::Class_Name()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_15(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 115, (long) TSynapse::Class_Version()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_16(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TSynapse::Dictionary(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_20(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TSynapse*) G__getstructoffset())->StreamerNVirtual(*(TBuffer*) libp->para[0].ref); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_21(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TSynapse::DeclFileName()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_22(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) TSynapse::ImplFileLine()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_23(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TSynapse::ImplFileName()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_109_0_24(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) TSynapse::DeclFileLine()); return(1 || funcname || hash || result7 || libp) ; } // automatic copy constructor static int G__G__MLP_109_0_25(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TSynapse* p; void* tmp = (void*) G__int(libp->para[0]); p = new TSynapse(*(TSynapse*) tmp); result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TSynapse)); return(1 || funcname || hash || result7 || libp) ; } // automatic destructor typedef TSynapse G__TTSynapse; static int G__G__MLP_109_0_26(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { char* gvp = (char*) G__getgvp(); long soff = G__getstructoffset(); int n = G__getaryconstruct(); // //has_a_delete: 1 //has_own_delete1arg: 0 //has_own_delete2arg: 0 // if (!soff) { return(1); } if (n) { if (gvp == (char*)G__PVOID) { delete[] (TSynapse*) soff; } else { G__setgvp((long) G__PVOID); for (int i = n - 1; i >= 0; --i) { ((TSynapse*) (soff+(sizeof(TSynapse)*i)))->~G__TTSynapse(); } G__setgvp((long)gvp); } } else { if (gvp == (char*)G__PVOID) { delete (TSynapse*) soff; } else { G__setgvp((long) G__PVOID); ((TSynapse*) (soff))->~G__TTSynapse(); G__setgvp((long)gvp); } } G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } // automatic assignment operator static int G__G__MLP_109_0_27(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TSynapse* dest = (TSynapse*) G__getstructoffset(); *dest = *(TSynapse*) libp->para[0].ref; const TSynapse& obj = *dest; result7->ref = (long) (&obj); result7->obj.i = (long) (&obj); return(1 || funcname || hash || result7 || libp) ; } /* TMultiLayerPerceptron */ static int G__G__MLP_110_0_1(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMultiLayerPerceptron* p = NULL; char* gvp = (char*) G__getgvp(); int n = G__getaryconstruct(); if (n) { if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron[n]; } else { p = new((void*) gvp) TMultiLayerPerceptron[n]; } } else { if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron; } else { p = new((void*) gvp) TMultiLayerPerceptron; } } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_2(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMultiLayerPerceptron* p = NULL; char* gvp = (char*) G__getgvp(); switch (libp->paran) { case 7: //m: 7 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4]), (const char*) G__int(libp->para[5]) , (const char*) G__int(libp->para[6])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4]), (const char*) G__int(libp->para[5]) , (const char*) G__int(libp->para[6])); } break; case 6: //m: 6 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4]), (const char*) G__int(libp->para[5])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4]), (const char*) G__int(libp->para[5])); } break; case 5: //m: 5 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4])); } break; case 4: //m: 4 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2]), (const char*) G__int(libp->para[3])); } break; case 3: //m: 3 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2])); } break; case 2: //m: 2 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron((const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1])); } else { p = new((void*) gvp) TMultiLayerPerceptron((const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1])); } break; case 1: //m: 1 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron((const char*) G__int(libp->para[0])); } else { p = new((void*) gvp) TMultiLayerPerceptron((const char*) G__int(libp->para[0])); } break; } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_3(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMultiLayerPerceptron* p = NULL; char* gvp = (char*) G__getgvp(); switch (libp->paran) { case 8: //m: 8 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5]) , (const char*) G__int(libp->para[6]), (const char*) G__int(libp->para[7])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5]) , (const char*) G__int(libp->para[6]), (const char*) G__int(libp->para[7])); } break; case 7: //m: 7 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5]) , (const char*) G__int(libp->para[6])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5]) , (const char*) G__int(libp->para[6])); } break; case 6: //m: 6 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5])); } break; case 5: //m: 5 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3]) , (const char*) G__int(libp->para[4])); } break; case 4: //m: 4 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (const char*) G__int(libp->para[3])); } break; case 3: //m: 3 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2])); } break; case 2: //m: 2 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron((const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1])); } else { p = new((void*) gvp) TMultiLayerPerceptron((const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1])); } break; } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_4(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMultiLayerPerceptron* p = NULL; char* gvp = (char*) G__getgvp(); switch (libp->paran) { case 7: //m: 7 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (TEventList*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4]), (const char*) G__int(libp->para[5]) , (const char*) G__int(libp->para[6])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (TEventList*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4]), (const char*) G__int(libp->para[5]) , (const char*) G__int(libp->para[6])); } break; case 6: //m: 6 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (TEventList*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4]), (const char*) G__int(libp->para[5])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (TEventList*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4]), (const char*) G__int(libp->para[5])); } break; case 5: //m: 5 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (TEventList*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (TEventList*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TNeuron::ENeuronType) G__int(libp->para[4])); } break; case 4: //m: 4 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (TEventList*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (TTree*) G__int(libp->para[1]) , (TEventList*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3])); } break; } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_5(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMultiLayerPerceptron* p = NULL; char* gvp = (char*) G__getgvp(); switch (libp->paran) { case 8: //m: 8 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TEventList*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5]) , (const char*) G__int(libp->para[6]), (const char*) G__int(libp->para[7])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TEventList*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5]) , (const char*) G__int(libp->para[6]), (const char*) G__int(libp->para[7])); } break; case 7: //m: 7 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TEventList*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5]) , (const char*) G__int(libp->para[6])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TEventList*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5]) , (const char*) G__int(libp->para[6])); } break; case 6: //m: 6 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TEventList*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TEventList*) G__int(libp->para[4]), (TNeuron::ENeuronType) G__int(libp->para[5])); } break; case 5: //m: 5 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TEventList*) G__int(libp->para[4])); } else { p = new((void*) gvp) TMultiLayerPerceptron( (const char*) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (TTree*) G__int(libp->para[2]), (TEventList*) G__int(libp->para[3]) , (TEventList*) G__int(libp->para[4])); } break; } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_6(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetData((TTree*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_7(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetTrainingDataSet((TEventList*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_8(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetTestDataSet((TEventList*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_9(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetTrainingDataSet((const char*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_10(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetTestDataSet((const char*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_11(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetLearningMethod((TMultiLayerPerceptron::ELearningMethod) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_12(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetEventWeight((const char*) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_13(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 3: ((TMultiLayerPerceptron*) G__getstructoffset())->Train((Int_t) G__int(libp->para[0]), (Option_t*) G__int(libp->para[1]) , (Double_t) G__double(libp->para[2])); G__setnull(result7); break; case 2: ((TMultiLayerPerceptron*) G__getstructoffset())->Train((Int_t) G__int(libp->para[0]), (Option_t*) G__int(libp->para[1])); G__setnull(result7); break; case 1: ((TMultiLayerPerceptron*) G__getstructoffset())->Train((Int_t) G__int(libp->para[0])); G__setnull(result7); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_14(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 2: G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->Result((Int_t) G__int(libp->para[0]), (Int_t) G__int(libp->para[1]))); break; case 1: G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->Result((Int_t) G__int(libp->para[0]))); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_15(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetError((Int_t) G__int(libp->para[0]))); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_16(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetError((TMultiLayerPerceptron::EDataSet) G__int(libp->para[0]))); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_17(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((const TMultiLayerPerceptron*) G__getstructoffset())->ComputeDEDw(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_18(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((const TMultiLayerPerceptron*) G__getstructoffset())->Randomize(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_19(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetEta((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_20(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetEpsilon((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_21(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetDelta((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_22(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetEtaDecay((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_23(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetTau((Double_t) G__double(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_24(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->SetReset((Int_t) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_25(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetEta()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_26(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetEpsilon()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_27(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetDelta()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_28(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetEtaDecay()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_29(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetTau()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_30(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetReset()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_31(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { { const TString* pobj; const TString xobj = ((const TMultiLayerPerceptron*) G__getstructoffset())->GetStructure(); pobj = new TString(xobj); result7->obj.i = (long) ((void*) pobj); result7->ref = result7->obj.i; G__store_tempobject(*result7); } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_32(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) ((const TMultiLayerPerceptron*) G__getstructoffset())->GetType()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_33(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 2: ((const TMultiLayerPerceptron*) G__getstructoffset())->DrawResult((Int_t) G__int(libp->para[0]), (Option_t*) G__int(libp->para[1])); G__setnull(result7); break; case 1: ((const TMultiLayerPerceptron*) G__getstructoffset())->DrawResult((Int_t) G__int(libp->para[0])); G__setnull(result7); break; case 0: ((const TMultiLayerPerceptron*) G__getstructoffset())->DrawResult(); G__setnull(result7); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_34(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 1: G__letint(result7, 103, (long) ((const TMultiLayerPerceptron*) G__getstructoffset())->DumpWeights((Option_t*) G__int(libp->para[0]))); break; case 0: G__letint(result7, 103, (long) ((const TMultiLayerPerceptron*) G__getstructoffset())->DumpWeights()); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_35(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 1: G__letint(result7, 103, (long) ((TMultiLayerPerceptron*) G__getstructoffset())->LoadWeights((Option_t*) G__int(libp->para[0]))); break; case 0: G__letint(result7, 103, (long) ((TMultiLayerPerceptron*) G__getstructoffset())->LoadWeights()); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_36(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letdouble(result7, 100, (double) ((const TMultiLayerPerceptron*) G__getstructoffset())->Evaluate((Int_t) G__int(libp->para[0]), (Double_t*) G__int(libp->para[1]))); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_37(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 2: ((const TMultiLayerPerceptron*) G__getstructoffset())->Export((Option_t*) G__int(libp->para[0]), (Option_t*) G__int(libp->para[1])); G__setnull(result7); break; case 1: ((const TMultiLayerPerceptron*) G__getstructoffset())->Export((Option_t*) G__int(libp->para[0])); G__setnull(result7); break; case 0: ((const TMultiLayerPerceptron*) G__getstructoffset())->Export(); G__setnull(result7); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_63(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) TMultiLayerPerceptron::Class()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_64(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TMultiLayerPerceptron::Class_Name()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_65(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 115, (long) TMultiLayerPerceptron::Class_Version()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_66(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMultiLayerPerceptron::Dictionary(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_70(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMultiLayerPerceptron*) G__getstructoffset())->StreamerNVirtual(*(TBuffer*) libp->para[0].ref); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_71(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TMultiLayerPerceptron::DeclFileName()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_72(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) TMultiLayerPerceptron::ImplFileLine()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_73(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TMultiLayerPerceptron::ImplFileName()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_110_0_74(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) TMultiLayerPerceptron::DeclFileLine()); return(1 || funcname || hash || result7 || libp) ; } // automatic destructor typedef TMultiLayerPerceptron G__TTMultiLayerPerceptron; static int G__G__MLP_110_0_75(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { char* gvp = (char*) G__getgvp(); long soff = G__getstructoffset(); int n = G__getaryconstruct(); // //has_a_delete: 1 //has_own_delete1arg: 0 //has_own_delete2arg: 0 // if (!soff) { return(1); } if (n) { if (gvp == (char*)G__PVOID) { delete[] (TMultiLayerPerceptron*) soff; } else { G__setgvp((long) G__PVOID); for (int i = n - 1; i >= 0; --i) { ((TMultiLayerPerceptron*) (soff+(sizeof(TMultiLayerPerceptron)*i)))->~G__TTMultiLayerPerceptron(); } G__setgvp((long)gvp); } } else { if (gvp == (char*)G__PVOID) { delete (TMultiLayerPerceptron*) soff; } else { G__setgvp((long) G__PVOID); ((TMultiLayerPerceptron*) (soff))->~G__TTMultiLayerPerceptron(); G__setgvp((long)gvp); } } G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } /* TMLPAnalyzer */ static int G__G__MLP_113_0_6(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMLPAnalyzer* p = NULL; char* gvp = (char*) G__getgvp(); //m: 1 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMLPAnalyzer(*(TMultiLayerPerceptron*) libp->para[0].ref); } else { p = new((void*) gvp) TMLPAnalyzer(*(TMultiLayerPerceptron*) libp->para[0].ref); } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_7(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMLPAnalyzer* p = NULL; char* gvp = (char*) G__getgvp(); //m: 1 if ((gvp == (char*)G__PVOID) || (gvp == 0)) { p = new TMLPAnalyzer((TMultiLayerPerceptron*) G__int(libp->para[0])); } else { p = new((void*) gvp) TMLPAnalyzer((TMultiLayerPerceptron*) G__int(libp->para[0])); } result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer)); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_8(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMLPAnalyzer*) G__getstructoffset())->DrawNetwork((Int_t) G__int(libp->para[0]), (const char*) G__int(libp->para[1]) , (const char*) G__int(libp->para[2])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_9(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMLPAnalyzer*) G__getstructoffset())->DrawDInput((Int_t) G__int(libp->para[0])); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_10(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMLPAnalyzer*) G__getstructoffset())->DrawDInputs(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_11(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 2: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviation((Int_t) G__int(libp->para[0]), (Option_t*) G__int(libp->para[1]))); break; case 1: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviation((Int_t) G__int(libp->para[0]))); break; case 0: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviation()); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_12(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 1: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviations((Option_t*) G__int(libp->para[0]))); break; case 0: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviations()); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_13(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 3: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviationInOut((Int_t) G__int(libp->para[0]), (Int_t) G__int(libp->para[1]) , (Option_t*) G__int(libp->para[2]))); break; case 2: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviationInOut((Int_t) G__int(libp->para[0]), (Int_t) G__int(libp->para[1]))); break; case 1: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviationInOut((Int_t) G__int(libp->para[0]))); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_14(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { switch (libp->paran) { case 2: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviationInsOut((Int_t) G__int(libp->para[0]), (Option_t*) G__int(libp->para[1]))); break; case 1: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviationInsOut((Int_t) G__int(libp->para[0]))); break; case 0: G__letint(result7, 85, (long) ((TMLPAnalyzer*) G__getstructoffset())->DrawTruthDeviationInsOut()); break; } return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_15(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMLPAnalyzer*) G__getstructoffset())->CheckNetwork(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_16(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMLPAnalyzer*) G__getstructoffset())->GatherInformations(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_17(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) ((const TMLPAnalyzer*) G__getstructoffset())->GetIOTree()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_18(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 85, (long) TMLPAnalyzer::Class()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_19(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TMLPAnalyzer::Class_Name()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_20(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 115, (long) TMLPAnalyzer::Class_Version()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_21(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMLPAnalyzer::Dictionary(); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_25(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { ((TMLPAnalyzer*) G__getstructoffset())->StreamerNVirtual(*(TBuffer*) libp->para[0].ref); G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_26(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TMLPAnalyzer::DeclFileName()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_27(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) TMLPAnalyzer::ImplFileLine()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_28(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 67, (long) TMLPAnalyzer::ImplFileName()); return(1 || funcname || hash || result7 || libp) ; } static int G__G__MLP_113_0_29(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { G__letint(result7, 105, (long) TMLPAnalyzer::DeclFileLine()); return(1 || funcname || hash || result7 || libp) ; } // automatic copy constructor static int G__G__MLP_113_0_30(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMLPAnalyzer* p; void* tmp = (void*) G__int(libp->para[0]); p = new TMLPAnalyzer(*(TMLPAnalyzer*) tmp); result7->obj.i = (long) p; result7->ref = (long) p; G__set_tagnum(result7,G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer)); return(1 || funcname || hash || result7 || libp) ; } // automatic destructor typedef TMLPAnalyzer G__TTMLPAnalyzer; static int G__G__MLP_113_0_31(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { char* gvp = (char*) G__getgvp(); long soff = G__getstructoffset(); int n = G__getaryconstruct(); // //has_a_delete: 1 //has_own_delete1arg: 0 //has_own_delete2arg: 0 // if (!soff) { return(1); } if (n) { if (gvp == (char*)G__PVOID) { delete[] (TMLPAnalyzer*) soff; } else { G__setgvp((long) G__PVOID); for (int i = n - 1; i >= 0; --i) { ((TMLPAnalyzer*) (soff+(sizeof(TMLPAnalyzer)*i)))->~G__TTMLPAnalyzer(); } G__setgvp((long)gvp); } } else { if (gvp == (char*)G__PVOID) { delete (TMLPAnalyzer*) soff; } else { G__setgvp((long) G__PVOID); ((TMLPAnalyzer*) (soff))->~G__TTMLPAnalyzer(); G__setgvp((long)gvp); } } G__setnull(result7); return(1 || funcname || hash || result7 || libp) ; } // automatic assignment operator static int G__G__MLP_113_0_32(G__value* result7, G__CONST char* funcname, struct G__param* libp, int hash) { TMLPAnalyzer* dest = (TMLPAnalyzer*) G__getstructoffset(); *dest = *(TMLPAnalyzer*) libp->para[0].ref; const TMLPAnalyzer& obj = *dest; result7->ref = (long) (&obj); result7->obj.i = (long) (&obj); return(1 || funcname || hash || result7 || libp) ; } /* Setting up global function */ /********************************************************* * Member function Stub *********************************************************/ /* TNeuron */ /* TSynapse */ /* TMultiLayerPerceptron */ /* TMLPAnalyzer */ /********************************************************* * Global function Stub *********************************************************/ /********************************************************* * Get size of pointer to member function *********************************************************/ class G__Sizep2memfuncG__MLP { public: G__Sizep2memfuncG__MLP(): p(&G__Sizep2memfuncG__MLP::sizep2memfunc) {} size_t sizep2memfunc() { return(sizeof(p)); } private: size_t (G__Sizep2memfuncG__MLP::*p)(); }; size_t G__get_sizep2memfuncG__MLP() { G__Sizep2memfuncG__MLP a; G__setsizep2memfunc((int)a.sizep2memfunc()); return((size_t)a.sizep2memfunc()); } /********************************************************* * virtual base class offset calculation interface *********************************************************/ /* Setting up class inheritance */ /********************************************************* * Inheritance information setup/ *********************************************************/ extern "C" void G__cpp_setup_inheritanceG__MLP() { /* Setting up class inheritance */ if(0==G__getnumbaseclass(G__get_linked_tagnum(&G__G__MLPLN_TNeuron))) { TNeuron *G__Lderived; G__Lderived=(TNeuron*)0x1000; { TNamed *G__Lpbase=(TNamed*)G__Lderived; G__inheritance_setup(G__get_linked_tagnum(&G__G__MLPLN_TNeuron),G__get_linked_tagnum(&G__G__MLPLN_TNamed),(long)G__Lpbase-(long)G__Lderived,1,1); } { TObject *G__Lpbase=(TObject*)G__Lderived; G__inheritance_setup(G__get_linked_tagnum(&G__G__MLPLN_TNeuron),G__get_linked_tagnum(&G__G__MLPLN_TObject),(long)G__Lpbase-(long)G__Lderived,1,0); } } if(0==G__getnumbaseclass(G__get_linked_tagnum(&G__G__MLPLN_TSynapse))) { TSynapse *G__Lderived; G__Lderived=(TSynapse*)0x1000; { TObject *G__Lpbase=(TObject*)G__Lderived; G__inheritance_setup(G__get_linked_tagnum(&G__G__MLPLN_TSynapse),G__get_linked_tagnum(&G__G__MLPLN_TObject),(long)G__Lpbase-(long)G__Lderived,1,1); } } if(0==G__getnumbaseclass(G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron))) { TMultiLayerPerceptron *G__Lderived; G__Lderived=(TMultiLayerPerceptron*)0x1000; { TObject *G__Lpbase=(TObject*)G__Lderived; G__inheritance_setup(G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron),G__get_linked_tagnum(&G__G__MLPLN_TObject),(long)G__Lpbase-(long)G__Lderived,1,1); } } if(0==G__getnumbaseclass(G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer))) { TMLPAnalyzer *G__Lderived; G__Lderived=(TMLPAnalyzer*)0x1000; { TObject *G__Lpbase=(TObject*)G__Lderived; G__inheritance_setup(G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer),G__get_linked_tagnum(&G__G__MLPLN_TObject),(long)G__Lpbase-(long)G__Lderived,1,1); } } } /********************************************************* * typedef information setup/ *********************************************************/ extern "C" void G__cpp_setup_typetableG__MLP() { /* Setting up typedef entry */ G__search_typename2("Int_t",105,-1,0,-1); G__setnewtype(-1,"Signed integer 4 bytes (int)",0); G__search_typename2("Double_t",100,-1,0,-1); G__setnewtype(-1,"Double 8 bytes",0); G__search_typename2("Bool_t",103,-1,0,-1); G__setnewtype(-1,"Boolean (0=false, 1=true) (bool)",0); G__search_typename2("Version_t",115,-1,0,-1); G__setnewtype(-1,"Class version identifier (short)",0); G__search_typename2("Option_t",99,-1,256,-1); G__setnewtype(-1,"Option string (const char)",0); G__search_typename2("vector",117,G__get_linked_tagnum(&G__G__MLPLN_vectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("reverse_iterator",117,G__get_linked_tagnum(&G__G__MLPLN_reverse_iteratorlEvectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgRcLcLiteratorgR),0,G__get_linked_tagnum(&G__G__MLPLN_vectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgR)); G__setnewtype(-1,NULL,0); G__search_typename2("reverse_iterator",117,G__get_linked_tagnum(&G__G__MLPLN_reverse_iteratorlEvectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgRcLcLiteratorgR),0,G__get_linked_tagnum(&G__G__MLPLN_vectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgR)); G__setnewtype(-1,NULL,0); G__search_typename2("vector",117,G__get_linked_tagnum(&G__G__MLPLN_vectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("reverse_iterator",117,G__get_linked_tagnum(&G__G__MLPLN_reverse_iteratorlEvectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgRcLcLiteratorgR),0,G__get_linked_tagnum(&G__G__MLPLN_vectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgR)); G__setnewtype(-1,NULL,0); G__search_typename2("reverse_iterator",117,G__get_linked_tagnum(&G__G__MLPLN_reverse_iteratorlEvectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgRcLcLiteratorgR),0,G__get_linked_tagnum(&G__G__MLPLN_vectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgR)); G__setnewtype(-1,NULL,0); G__search_typename2("iterator",117,G__get_linked_tagnum(&G__G__MLPLN_iteratorlEbidirectional_iterator_tagcOTObjectmUcOlongcOconstsPTObjectmUmUcOconstsPTObjectmUaNgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("iterator",117,G__get_linked_tagnum(&G__G__MLPLN_iteratorlEbidirectional_iterator_tagcOTObjectmUcOlongcOconstsPTObjectmUmUcOconstsPTObjectmUaNgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("iterator",117,G__get_linked_tagnum(&G__G__MLPLN_iteratorlEbidirectional_iterator_tagcOTObjectmUcOlongcOconstsPTObjectmUmUcOconstsPTObjectmUaNgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("iterator",117,G__get_linked_tagnum(&G__G__MLPLN_iteratorlEbidirectional_iterator_tagcOTObjectmUcOlongcOconstsPTObjectmUmUcOconstsPTObjectmUaNgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("iterator",117,G__get_linked_tagnum(&G__G__MLPLN_iteratorlEbidirectional_iterator_tagcOTObjectmUcOlongcOconstsPTObjectmUmUcOconstsPTObjectmUaNgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTBase",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTBaselEfloatgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTBase",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTBaselEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TVectorT",117,G__get_linked_tagnum(&G__G__MLPLN_TVectorTlEfloatgR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TVectorT",117,G__get_linked_tagnum(&G__G__MLPLN_TVectorTlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixT",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTRow_const",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTRow_constlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTColumn_const",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTColumn_constlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTDiag_const",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTDiag_constlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTFlat_const",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTFlat_constlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTSub_const",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTSub_constlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTSparseRow_const",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTSparseRow_constlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTSparseDiag_const",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTSparseDiag_constlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTRow",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTRowlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTColumn",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTColumnlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTDiag",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTDiaglEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTFlat",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTFlatlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTSub",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTSublEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTSparseRow",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTSparseRowlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TMatrixTSparseDiag",117,G__get_linked_tagnum(&G__G__MLPLN_TMatrixTSparseDiaglEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TElementActionT",117,G__get_linked_tagnum(&G__G__MLPLN_TElementActionTlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); G__search_typename2("TElementPosActionT",117,G__get_linked_tagnum(&G__G__MLPLN_TElementPosActionTlEdoublegR),0,-1); G__setnewtype(-1,NULL,0); } /********************************************************* * Data Member information setup/ *********************************************************/ /* Setting up class,struct,union tag member variable */ /* TNeuron */ static void G__setup_memvarTNeuron(void) { G__tag_memvar_setup(G__get_linked_tagnum(&G__G__MLPLN_TNeuron)); { TNeuron *p; p=(TNeuron*)0x1000; if (p) { } G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-2,1,G__FastAllocString(2048).Format("kOff=%lldLL",(long long)TNeuron::kOff).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-2,1,G__FastAllocString(2048).Format("kLinear=%lldLL",(long long)TNeuron::kLinear).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-2,1,G__FastAllocString(2048).Format("kSigmoid=%lldLL",(long long)TNeuron::kSigmoid).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-2,1,G__FastAllocString(2048).Format("kTanh=%lldLL",(long long)TNeuron::kTanh).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-2,1,G__FastAllocString(2048).Format("kGauss=%lldLL",(long long)TNeuron::kGauss).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-2,1,G__FastAllocString(2048).Format("kSoftmax=%lldLL",(long long)TNeuron::kSoftmax).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-2,1,G__FastAllocString(2048).Format("kExternal=%lldLL",(long long)TNeuron::kExternal).data(),0,(char*)NULL); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TObjArray),-1,-1,4,"fpre=",0,"pointers to the previous level in a network"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TObjArray),-1,-1,4,"fpost=",0,"pointers to the next level in a network"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TObjArray),-1,-1,4,"flayer=",0,"pointers to the current level in a network (neurons, not synapses)"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fWeight=",0,"weight used for computation"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fNorm[2]=",0,"normalisation to mean=0, RMS=1."); G__memvar_setup((void*)0,105,0,0,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-1,4,"fType=",0,"neuron type"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TFormula),-1,-1,4,"fExtF=",0,"function (external mode)"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TFormula),-1,-1,4,"fExtD=",0,"derivative (external mode)"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TTreeFormula),-1,-1,4,"fFormula=",0,"! formula to be used for inputs and outputs"); G__memvar_setup((void*)0,105,0,0,-1,G__defined_typename("Int_t"),-1,4,"fIndex=",0,"! index in the formula"); G__memvar_setup((void*)0,103,0,0,-1,G__defined_typename("Bool_t"),-1,4,"fNewInput=",0,"! do we need to compute fInput again ?"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fInput=",0,"! buffer containing the last neuron input"); G__memvar_setup((void*)0,103,0,0,-1,G__defined_typename("Bool_t"),-1,4,"fNewValue=",0,"! do we need to compute fValue again ?"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fValue=",0,"! buffer containing the last neuron output"); G__memvar_setup((void*)0,103,0,0,-1,G__defined_typename("Bool_t"),-1,4,"fNewDeriv=",0,"! do we need to compute fDerivative again ?"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fDerivative=",0,"! buffer containing the last neuron derivative"); G__memvar_setup((void*)0,103,0,0,-1,G__defined_typename("Bool_t"),-1,4,"fNewDeDw=",0,"! do we need to compute fDeDw again ?"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fDeDw=",0,"! buffer containing the last derivative of the error"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fDEDw=",0,"! buffer containing the sum over all examples of DeDw"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TClass),G__defined_typename("atomic_TClass_ptr"),-2,4,"fgIsA=",0,(char*)NULL); } G__tag_memvar_reset(); } /* TSynapse */ static void G__setup_memvarTSynapse(void) { G__tag_memvar_setup(G__get_linked_tagnum(&G__G__MLPLN_TSynapse)); { TSynapse *p; p=(TSynapse*)0x1000; if (p) { } G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TNeuron),-1,-1,4,"fpre=",0,"the neuron before the synapse"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TNeuron),-1,-1,4,"fpost=",0,"the neuron after the synapse"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fweight=",0,"the weight of the synapse"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fDEDw=",0,"! the derivative of the total error wrt the synapse weight"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TClass),G__defined_typename("atomic_TClass_ptr"),-2,4,"fgIsA=",0,(char*)NULL); } G__tag_memvar_reset(); } /* TMultiLayerPerceptron */ static void G__setup_memvarTMultiLayerPerceptron(void) { G__tag_memvar_setup(G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron)); { TMultiLayerPerceptron *p; p=(TMultiLayerPerceptron*)0x1000; if (p) { } G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod),-1,-2,1,G__FastAllocString(2048).Format("kStochastic=%lldLL",(long long)TMultiLayerPerceptron::kStochastic).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod),-1,-2,1,G__FastAllocString(2048).Format("kBatch=%lldLL",(long long)TMultiLayerPerceptron::kBatch).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod),-1,-2,1,G__FastAllocString(2048).Format("kSteepestDescent=%lldLL",(long long)TMultiLayerPerceptron::kSteepestDescent).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod),-1,-2,1,G__FastAllocString(2048).Format("kRibierePolak=%lldLL",(long long)TMultiLayerPerceptron::kRibierePolak).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod),-1,-2,1,G__FastAllocString(2048).Format("kFletcherReeves=%lldLL",(long long)TMultiLayerPerceptron::kFletcherReeves).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod),-1,-2,1,G__FastAllocString(2048).Format("kBFGS=%lldLL",(long long)TMultiLayerPerceptron::kBFGS).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLEDataSet),-1,-2,1,G__FastAllocString(2048).Format("kTraining=%lldLL",(long long)TMultiLayerPerceptron::kTraining).data(),0,(char*)NULL); G__memvar_setup((void*)G__PVOID,105,0,1,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLEDataSet),-1,-2,1,G__FastAllocString(2048).Format("kTest=%lldLL",(long long)TMultiLayerPerceptron::kTest).data(),0,(char*)NULL); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TTree),-1,-1,4,"fData=",0,"! pointer to the tree used as datasource"); G__memvar_setup((void*)0,105,0,0,-1,G__defined_typename("Int_t"),-1,4,"fCurrentTree=",0,"! index of the current tree in a chain"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fCurrentTreeWeight=",0,"! weight of the current tree in a chain"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TObjArray),-1,-1,4,"fNetwork=",0,"Collection of all the neurons in the network"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TObjArray),-1,-1,4,"fFirstLayer=",0,"Collection of the input neurons; subset of fNetwork"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TObjArray),-1,-1,4,"fLastLayer=",0,"Collection of the output neurons; subset of fNetwork"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TObjArray),-1,-1,4,"fSynapses=",0,"Collection of all the synapses in the network"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TString),-1,-1,4,"fStructure=",0,"String containing the network structure"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TString),-1,-1,4,"fWeight=",0,"String containing the event weight"); G__memvar_setup((void*)0,105,0,0,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-1,4,"fType=",0,"Type of hidden neurons"); G__memvar_setup((void*)0,105,0,0,G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType),-1,-1,4,"fOutType=",0,"Type of output neurons"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TString),-1,-1,4,"fextF=",0,"String containing the function name"); G__memvar_setup((void*)0,117,0,0,G__get_linked_tagnum(&G__G__MLPLN_TString),-1,-1,4,"fextD=",0,"String containing the derivative name"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TEventList),-1,-1,4,"fTraining=",0,"! EventList defining the events in the training dataset"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TEventList),-1,-1,4,"fTest=",0,"! EventList defining the events in the test dataset"); G__memvar_setup((void*)0,105,0,0,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod),-1,-1,4,"fLearningMethod=",0,"! The Learning Method"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TTreeFormula),-1,-1,4,"fEventWeight=",0,"! formula representing the event weight"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TTreeFormulaManager),-1,-1,4,"fManager=",0,"! TTreeFormulaManager for the weight and neurons"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fEta=",0,"! Eta - used in stochastic minimisation - Default=0.1"); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fEpsilon=",0,"! Epsilon - used in stochastic minimisation - Default=0."); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fDelta=",0,"! Delta - used in stochastic minimisation - Default=0."); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fEtaDecay=",0,"! EtaDecay - Eta *= EtaDecay at each epoch - Default=1."); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fTau=",0,"! Tau - used in line search - Default=3."); G__memvar_setup((void*)0,100,0,0,-1,G__defined_typename("Double_t"),-1,4,"fLastAlpha=",0,"! internal parameter used in line search"); G__memvar_setup((void*)0,105,0,0,-1,G__defined_typename("Int_t"),-1,4,"fReset=",0,"! number of epochs between two resets of the search direction to the steepest descent - Default=50"); G__memvar_setup((void*)0,103,0,0,-1,G__defined_typename("Bool_t"),-1,4,"fTrainingOwner=",0,"! internal flag whether one has to delete fTraining or not"); G__memvar_setup((void*)0,103,0,0,-1,G__defined_typename("Bool_t"),-1,4,"fTestOwner=",0,"! internal flag whether one has to delete fTest or not"); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TClass),G__defined_typename("atomic_TClass_ptr"),-2,4,"fgIsA=",0,(char*)NULL); } G__tag_memvar_reset(); } /* TMLPAnalyzer */ static void G__setup_memvarTMLPAnalyzer(void) { G__tag_memvar_setup(G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer)); { TMLPAnalyzer *p; p=(TMLPAnalyzer*)0x1000; if (p) { } G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron),-1,-1,4,"fNetwork=",0,(char*)NULL); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TTree),-1,-1,4,"fAnalysisTree=",0,(char*)NULL); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TTree),-1,-1,4,"fIOTree=",0,(char*)NULL); G__memvar_setup((void*)0,85,0,0,G__get_linked_tagnum(&G__G__MLPLN_TClass),G__defined_typename("atomic_TClass_ptr"),-2,4,"fgIsA=",0,(char*)NULL); } G__tag_memvar_reset(); } extern "C" void G__cpp_setup_memvarG__MLP() { } /*********************************************************** ************************************************************ ************************************************************ ************************************************************ ************************************************************ ************************************************************ ************************************************************ ***********************************************************/ /********************************************************* * Member function information setup for each class *********************************************************/ static void G__setup_memfuncTNeuron(void) { /* TNeuron */ G__tag_memfunc_setup(G__get_linked_tagnum(&G__G__MLPLN_TNeuron)); G__memfunc_setup("TNeuron",715,G__G__MLP_108_0_1, 105, G__get_linked_tagnum(&G__G__MLPLN_TNeuron), -1, 0, 5, 1, 1, 0, "i 'TNeuron::ENeuronType' - 0 'kSigmoid' type C - - 10 '\"\"' name " "C - - 10 '\"\"' title C - - 10 '\"\"' extF " "C - - 10 '\"\"' extD", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetPre",583,G__G__MLP_108_0_2, 85, G__get_linked_tagnum(&G__G__MLPLN_TSynapse), -1, 0, 1, 1, 1, 8, "i - 'Int_t' 0 - n", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetPost",710,G__G__MLP_108_0_3, 85, G__get_linked_tagnum(&G__G__MLPLN_TSynapse), -1, 0, 1, 1, 1, 8, "i - 'Int_t' 0 - n", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetInLayer",980,G__G__MLP_108_0_4, 85, G__get_linked_tagnum(&G__G__MLPLN_TNeuron), -1, 0, 1, 1, 1, 8, "i - 'Int_t' 0 - n", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("UseBranch",891,G__G__MLP_108_0_5, 85, G__get_linked_tagnum(&G__G__MLPLN_TTreeFormula), -1, 0, 2, 1, 1, 0, "U 'TTree' - 0 - - C - - 10 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetInput",816,G__G__MLP_108_0_6, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetValue",797,G__G__MLP_108_0_7, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetDerivative",1331,G__G__MLP_108_0_8, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetError",810,G__G__MLP_108_0_9, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetTarget",903,G__G__MLP_108_0_10, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetDeDw",644,G__G__MLP_108_0_11, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetBranch",878,G__G__MLP_108_0_12, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetType",706,G__G__MLP_108_0_13, 105, G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetWeight",916,G__G__MLP_108_0_14, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - w", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetWeight",904,G__G__MLP_108_0_15, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetNormalisation",1676,G__G__MLP_108_0_16, 121, -1, -1, 0, 2, 1, 1, 0, "d - 'Double_t' 0 - mean d - 'Double_t' 0 - RMS", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetNormalisation",1664,G__G__MLP_108_0_17, 68, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 9, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetNewEvent",1112,G__G__MLP_108_0_18, 121, -1, -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetDEDw",624,G__G__MLP_108_0_19, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - in", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetDEDw",612,G__G__MLP_108_0_20, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("ForceExternalValue",1839,G__G__MLP_108_0_21, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - value", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("AddInLayer",957,G__G__MLP_108_0_22, 121, -1, -1, 0, 1, 1, 1, 0, "U 'TNeuron' - 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Sigmoid",716,(G__InterfaceMethod) NULL, 100, -1, G__defined_typename("Double_t"), 0, 1, 1, 2, 8, "d - 'Double_t' 0 - x", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DSigmoid",784,(G__InterfaceMethod) NULL, 100, -1, G__defined_typename("Double_t"), 0, 1, 1, 2, 8, "d - 'Double_t' 0 - x", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("AddPre",560,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 1, 1, 2, 0, "U 'TSynapse' - 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("AddPost",687,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 1, 1, 2, 0, "U 'TSynapse' - 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TNeuron",715,(G__InterfaceMethod) NULL, 105, G__get_linked_tagnum(&G__G__MLPLN_TNeuron), -1, 0, 1, 1, 4, 0, "u 'TNeuron' - 11 - -", "Not implemented", (void*) NULL, 0); G__memfunc_setup("operator=",937,(G__InterfaceMethod) NULL, 117, G__get_linked_tagnum(&G__G__MLPLN_TNeuron), -1, 1, 1, 1, 4, 0, "u 'TNeuron' - 11 - -", "Not implemented", (void*) NULL, 0); G__memfunc_setup("Class",502,G__G__MLP_108_0_29, 85, G__get_linked_tagnum(&G__G__MLPLN_TClass), -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (TClass* (*)())(&TNeuron::Class) ), 0); G__memfunc_setup("Class_Name",982,G__G__MLP_108_0_30, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TNeuron::Class_Name) ), 0); G__memfunc_setup("Class_Version",1339,G__G__MLP_108_0_31, 115, -1, G__defined_typename("Version_t"), 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (Version_t (*)())(&TNeuron::Class_Version) ), 0); G__memfunc_setup("Dictionary",1046,G__G__MLP_108_0_32, 121, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (void (*)())(&TNeuron::Dictionary) ), 0); G__memfunc_setup("IsA",253,(G__InterfaceMethod) NULL,85, G__get_linked_tagnum(&G__G__MLPLN_TClass), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("ShowMembers",1132,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "u 'TMemberInspector' - 1 - -", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("Streamer",835,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "u 'TBuffer' - 1 - -", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("StreamerNVirtual",1656,G__G__MLP_108_0_36, 121, -1, -1, 0, 1, 1, 1, 0, "u 'TBuffer' - 1 - ClassDef_StreamerNVirtual_b", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DeclFileName",1145,G__G__MLP_108_0_37, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TNeuron::DeclFileName) ), 0); G__memfunc_setup("ImplFileLine",1178,G__G__MLP_108_0_38, 105, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (int (*)())(&TNeuron::ImplFileLine) ), 0); G__memfunc_setup("ImplFileName",1171,G__G__MLP_108_0_39, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TNeuron::ImplFileName) ), 0); G__memfunc_setup("DeclFileLine",1152,G__G__MLP_108_0_40, 105, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (int (*)())(&TNeuron::DeclFileLine) ), 0); // automatic destructor G__memfunc_setup("~TNeuron", 841, G__G__MLP_108_0_41, (int) ('y'), -1, -1, 0, 0, 1, 1, 0, "", (char*) NULL, (void*) NULL, 1); G__tag_memfunc_reset(); } static void G__setup_memfuncTSynapse(void) { /* TSynapse */ G__tag_memfunc_setup(G__get_linked_tagnum(&G__G__MLPLN_TSynapse)); G__memfunc_setup("TSynapse",823,G__G__MLP_109_0_1, 105, G__get_linked_tagnum(&G__G__MLPLN_TSynapse), -1, 0, 0, 1, 1, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TSynapse",823,G__G__MLP_109_0_2, 105, G__get_linked_tagnum(&G__G__MLPLN_TSynapse), -1, 0, 3, 1, 1, 0, "U 'TNeuron' - 0 - - U 'TNeuron' - 0 - - " "d - 'Double_t' 0 '1' w", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetPre",595,G__G__MLP_109_0_3, 121, -1, -1, 0, 1, 1, 1, 0, "U 'TNeuron' - 0 - pre", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetPost",722,G__G__MLP_109_0_4, 121, -1, -1, 0, 1, 1, 1, 0, "U 'TNeuron' - 0 - post", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetPre",583,G__G__MLP_109_0_5, 85, G__get_linked_tagnum(&G__G__MLPLN_TNeuron), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetPost",710,G__G__MLP_109_0_6, 85, G__get_linked_tagnum(&G__G__MLPLN_TNeuron), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetWeight",916,G__G__MLP_109_0_7, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - w", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetWeight",904,G__G__MLP_109_0_8, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetValue",797,G__G__MLP_109_0_9, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetDeDw",644,G__G__MLP_109_0_10, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetDEDw",624,G__G__MLP_109_0_11, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - in", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetDEDw",612,G__G__MLP_109_0_12, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Class",502,G__G__MLP_109_0_13, 85, G__get_linked_tagnum(&G__G__MLPLN_TClass), -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (TClass* (*)())(&TSynapse::Class) ), 0); G__memfunc_setup("Class_Name",982,G__G__MLP_109_0_14, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TSynapse::Class_Name) ), 0); G__memfunc_setup("Class_Version",1339,G__G__MLP_109_0_15, 115, -1, G__defined_typename("Version_t"), 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (Version_t (*)())(&TSynapse::Class_Version) ), 0); G__memfunc_setup("Dictionary",1046,G__G__MLP_109_0_16, 121, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (void (*)())(&TSynapse::Dictionary) ), 0); G__memfunc_setup("IsA",253,(G__InterfaceMethod) NULL,85, G__get_linked_tagnum(&G__G__MLPLN_TClass), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("ShowMembers",1132,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "u 'TMemberInspector' - 1 - -", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("Streamer",835,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "u 'TBuffer' - 1 - -", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("StreamerNVirtual",1656,G__G__MLP_109_0_20, 121, -1, -1, 0, 1, 1, 1, 0, "u 'TBuffer' - 1 - ClassDef_StreamerNVirtual_b", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DeclFileName",1145,G__G__MLP_109_0_21, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TSynapse::DeclFileName) ), 0); G__memfunc_setup("ImplFileLine",1178,G__G__MLP_109_0_22, 105, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (int (*)())(&TSynapse::ImplFileLine) ), 0); G__memfunc_setup("ImplFileName",1171,G__G__MLP_109_0_23, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TSynapse::ImplFileName) ), 0); G__memfunc_setup("DeclFileLine",1152,G__G__MLP_109_0_24, 105, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (int (*)())(&TSynapse::DeclFileLine) ), 0); // automatic copy constructor G__memfunc_setup("TSynapse", 823, G__G__MLP_109_0_25, (int) ('i'), G__get_linked_tagnum(&G__G__MLPLN_TSynapse), -1, 0, 1, 1, 1, 0, "u 'TSynapse' - 11 - -", (char*) NULL, (void*) NULL, 0); // automatic destructor G__memfunc_setup("~TSynapse", 949, G__G__MLP_109_0_26, (int) ('y'), -1, -1, 0, 0, 1, 1, 0, "", (char*) NULL, (void*) NULL, 1); // automatic assignment operator G__memfunc_setup("operator=", 937, G__G__MLP_109_0_27, (int) ('u'), G__get_linked_tagnum(&G__G__MLPLN_TSynapse), -1, 1, 1, 1, 1, 0, "u 'TSynapse' - 11 - -", (char*) NULL, (void*) NULL, 0); G__tag_memfunc_reset(); } static void G__setup_memfuncTMultiLayerPerceptron(void) { /* TMultiLayerPerceptron */ G__tag_memfunc_setup(G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron)); G__memfunc_setup("TMultiLayerPerceptron",2174,G__G__MLP_110_0_1, 105, G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron), -1, 0, 0, 1, 1, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TMultiLayerPerceptron",2174,G__G__MLP_110_0_2, 105, G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron), -1, 0, 7, 1, 1, 0, "C - - 10 - layout U 'TTree' - 0 '0' data " "C - - 10 '\"Entry$%2==0\"' training C - - 10 '\"\"' test " "i 'TNeuron::ENeuronType' - 0 'TNeuron::kSigmoid' type C - - 10 '\"\"' extF " "C - - 10 '\"\"' extD", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TMultiLayerPerceptron",2174,G__G__MLP_110_0_3, 105, G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron), -1, 0, 8, 1, 1, 0, "C - - 10 - layout C - - 10 - weight " "U 'TTree' - 0 '0' data C - - 10 '\"Entry$%2==0\"' training " "C - - 10 '\"\"' test i 'TNeuron::ENeuronType' - 0 'TNeuron::kSigmoid' type " "C - - 10 '\"\"' extF C - - 10 '\"\"' extD", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TMultiLayerPerceptron",2174,G__G__MLP_110_0_4, 105, G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron), -1, 0, 7, 1, 1, 0, "C - - 10 - layout U 'TTree' - 0 - data " "U 'TEventList' - 0 - training U 'TEventList' - 0 - test " "i 'TNeuron::ENeuronType' - 0 'TNeuron::kSigmoid' type C - - 10 '\"\"' extF " "C - - 10 '\"\"' extD", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TMultiLayerPerceptron",2174,G__G__MLP_110_0_5, 105, G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron), -1, 0, 8, 1, 1, 0, "C - - 10 - layout C - - 10 - weight " "U 'TTree' - 0 - data U 'TEventList' - 0 - training " "U 'TEventList' - 0 - test i 'TNeuron::ENeuronType' - 0 'TNeuron::kSigmoid' type " "C - - 10 '\"\"' extF C - - 10 '\"\"' extD", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetData",678,G__G__MLP_110_0_6, 121, -1, -1, 0, 1, 1, 1, 0, "U 'TTree' - 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetTrainingDataSet",1806,G__G__MLP_110_0_7, 121, -1, -1, 0, 1, 1, 1, 0, "U 'TEventList' - 0 - train", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetTestDataSet",1394,G__G__MLP_110_0_8, 121, -1, -1, 0, 1, 1, 1, 0, "U 'TEventList' - 0 - test", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetTrainingDataSet",1806,G__G__MLP_110_0_9, 121, -1, -1, 0, 1, 1, 1, 0, "C - - 10 - train", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetTestDataSet",1394,G__G__MLP_110_0_10, 121, -1, -1, 0, 1, 1, 1, 0, "C - - 10 - test", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetLearningMethod",1725,G__G__MLP_110_0_11, 121, -1, -1, 0, 1, 1, 1, 0, "i 'TMultiLayerPerceptron::ELearningMethod' - 0 - method", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetEventWeight",1430,G__G__MLP_110_0_12, 121, -1, -1, 0, 1, 1, 1, 0, "C - - 10 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Train",510,G__G__MLP_110_0_13, 121, -1, -1, 0, 3, 1, 1, 0, "i - 'Int_t' 0 - nEpoch C - 'Option_t' 10 '\"text\"' option " "d - 'Double_t' 0 '0' minE", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Result",639,G__G__MLP_110_0_14, 100, -1, G__defined_typename("Double_t"), 0, 2, 1, 1, 8, "i - 'Int_t' 0 - event i - 'Int_t' 0 '0' index", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetError",810,G__G__MLP_110_0_15, 100, -1, G__defined_typename("Double_t"), 0, 1, 1, 1, 8, "i - 'Int_t' 0 - event", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetError",810,G__G__MLP_110_0_16, 100, -1, G__defined_typename("Double_t"), 0, 1, 1, 1, 8, "i 'TMultiLayerPerceptron::EDataSet' - 0 - set", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("ComputeDEDw",1057,G__G__MLP_110_0_17, 121, -1, -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Randomize",937,G__G__MLP_110_0_18, 121, -1, -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetEta",582,G__G__MLP_110_0_19, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - eta", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetEpsilon",1030,G__G__MLP_110_0_20, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - eps", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetDelta",790,G__G__MLP_110_0_21, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - delta", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetEtaDecay",1068,G__G__MLP_110_0_22, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - ed", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetTau",598,G__G__MLP_110_0_23, 121, -1, -1, 0, 1, 1, 1, 0, "d - 'Double_t' 0 - tau", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetReset",815,G__G__MLP_110_0_24, 121, -1, -1, 0, 1, 1, 1, 0, "i - 'Int_t' 0 - reset", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetEta",570,G__G__MLP_110_0_25, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetEpsilon",1018,G__G__MLP_110_0_26, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetDelta",778,G__G__MLP_110_0_27, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetEtaDecay",1056,G__G__MLP_110_0_28, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetTau",586,G__G__MLP_110_0_29, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetReset",803,G__G__MLP_110_0_30, 105, -1, G__defined_typename("Int_t"), 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetStructure",1265,G__G__MLP_110_0_31, 117, G__get_linked_tagnum(&G__G__MLPLN_TString), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetType",706,G__G__MLP_110_0_32, 105, G__get_linked_tagnum(&G__G__MLPLN_TNeuroncLcLENeuronType), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DrawResult",1037,G__G__MLP_110_0_33, 121, -1, -1, 0, 2, 1, 1, 8, "i - 'Int_t' 0 '0' index C - 'Option_t' 10 '\"test\"' option", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DumpWeights",1137,G__G__MLP_110_0_34, 103, -1, G__defined_typename("Bool_t"), 0, 1, 1, 1, 8, "C - 'Option_t' 10 '\"-\"' filename", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("LoadWeights",1115,G__G__MLP_110_0_35, 103, -1, G__defined_typename("Bool_t"), 0, 1, 1, 1, 0, "C - 'Option_t' 10 '\"\"' filename", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Evaluate",823,G__G__MLP_110_0_36, 100, -1, G__defined_typename("Double_t"), 0, 2, 1, 1, 8, "i - 'Int_t' 0 - index D - 'Double_t' 0 - params", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Export",642,G__G__MLP_110_0_37, 121, -1, -1, 0, 2, 1, 1, 8, "C - 'Option_t' 10 '\"NNfunction\"' filename C - 'Option_t' 10 '\"C++\"' language", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Draw",398,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "C - 'Option_t' 10 '\"\"' option", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("AttachData",975,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 0, 1, 2, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("BuildNetwork",1242,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 0, 1, 2, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetEntry",818,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 1, 1, 2, 8, "i - 'Int_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("MLP_Stochastic",1373,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 1, 1, 2, 0, "D - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("MLP_Batch",810,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 1, 1, 2, 0, "D - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("LineSearch",990,(G__InterfaceMethod) NULL, 103, -1, G__defined_typename("Bool_t"), 0, 2, 1, 2, 0, "D - 'Double_t' 0 - - D - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SteepestDir",1132,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 1, 1, 2, 0, "D - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("ConjugateGradientsDir",2144,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 2, 1, 2, 0, "D - 'Double_t' 0 - - d - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("SetGammaDelta",1273,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 3, 1, 2, 0, "u 'TMatrixT' 'TMatrixD' 1 - - u 'TMatrixT' 'TMatrixD' 1 - - " "D - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetBFGSH",650,(G__InterfaceMethod) NULL, 103, -1, -1, 0, 3, 1, 2, 0, "u 'TMatrixT' 'TMatrixD' 1 - - u 'TMatrixT' 'TMatrixD' 1 - - " "u 'TMatrixT' 'TMatrixD' 1 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("BFGSDir",577,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 2, 1, 2, 0, "u 'TMatrixT' 'TMatrixD' 1 - - D - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DerivDir",793,(G__InterfaceMethod) NULL, 100, -1, G__defined_typename("Double_t"), 0, 1, 1, 2, 0, "D - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetCrossEntropyBinary",2176,(G__InterfaceMethod) NULL, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 2, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetCrossEntropy",1563,(G__InterfaceMethod) NULL, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 2, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetSumSquareError",1744,(G__InterfaceMethod) NULL, 100, -1, G__defined_typename("Double_t"), 0, 0, 1, 2, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TMultiLayerPerceptron",2174,(G__InterfaceMethod) NULL, 105, G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron), -1, 0, 1, 1, 4, 0, "u 'TMultiLayerPerceptron' - 11 - -", "Not implemented", (void*) NULL, 0); G__memfunc_setup("operator=",937,(G__InterfaceMethod) NULL, 117, G__get_linked_tagnum(&G__G__MLPLN_TMultiLayerPerceptron), -1, 1, 1, 1, 4, 0, "u 'TMultiLayerPerceptron' - 11 - -", "Not implemented", (void*) NULL, 0); G__memfunc_setup("ExpandStructure",1585,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 0, 1, 4, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("BuildFirstLayer",1525,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 1, 1, 4, 0, "u 'TString' - 1 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("BuildHiddenLayers",1708,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 1, 1, 4, 0, "u 'TString' - 1 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("BuildOneHiddenLayer",1883,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 5, 1, 4, 0, "u 'TString' - 11 - sNumNodes i - 'Int_t' 1 - layer " "i - 'Int_t' 1 - prevStart i - 'Int_t' 1 - prevStop " "g - 'Bool_t' 0 - lastLayer", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("BuildLastLayer",1409,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 2, 1, 4, 0, "u 'TString' - 1 - - i - 'Int_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Shuffle",717,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 2, 1, 4, 8, "I - 'Int_t' 0 - - i - 'Int_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("MLP_Line",720,(G__InterfaceMethod) NULL, 121, -1, -1, 0, 3, 1, 4, 0, "D - 'Double_t' 0 - - D - 'Double_t' 0 - - " "d - 'Double_t' 0 - -", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Class",502,G__G__MLP_110_0_63, 85, G__get_linked_tagnum(&G__G__MLPLN_TClass), -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (TClass* (*)())(&TMultiLayerPerceptron::Class) ), 0); G__memfunc_setup("Class_Name",982,G__G__MLP_110_0_64, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TMultiLayerPerceptron::Class_Name) ), 0); G__memfunc_setup("Class_Version",1339,G__G__MLP_110_0_65, 115, -1, G__defined_typename("Version_t"), 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (Version_t (*)())(&TMultiLayerPerceptron::Class_Version) ), 0); G__memfunc_setup("Dictionary",1046,G__G__MLP_110_0_66, 121, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (void (*)())(&TMultiLayerPerceptron::Dictionary) ), 0); G__memfunc_setup("IsA",253,(G__InterfaceMethod) NULL,85, G__get_linked_tagnum(&G__G__MLPLN_TClass), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("ShowMembers",1132,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "u 'TMemberInspector' - 1 - -", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("Streamer",835,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "u 'TBuffer' - 1 - -", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("StreamerNVirtual",1656,G__G__MLP_110_0_70, 121, -1, -1, 0, 1, 1, 1, 0, "u 'TBuffer' - 1 - ClassDef_StreamerNVirtual_b", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DeclFileName",1145,G__G__MLP_110_0_71, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TMultiLayerPerceptron::DeclFileName) ), 0); G__memfunc_setup("ImplFileLine",1178,G__G__MLP_110_0_72, 105, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (int (*)())(&TMultiLayerPerceptron::ImplFileLine) ), 0); G__memfunc_setup("ImplFileName",1171,G__G__MLP_110_0_73, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TMultiLayerPerceptron::ImplFileName) ), 0); G__memfunc_setup("DeclFileLine",1152,G__G__MLP_110_0_74, 105, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (int (*)())(&TMultiLayerPerceptron::DeclFileLine) ), 0); // automatic destructor G__memfunc_setup("~TMultiLayerPerceptron", 2300, G__G__MLP_110_0_75, (int) ('y'), -1, -1, 0, 0, 1, 1, 0, "", (char*) NULL, (void*) NULL, 1); G__tag_memfunc_reset(); } static void G__setup_memfuncTMLPAnalyzer(void) { /* TMLPAnalyzer */ G__tag_memfunc_setup(G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer)); G__memfunc_setup("GetLayers",912,(G__InterfaceMethod) NULL, 105, -1, G__defined_typename("Int_t"), 0, 0, 1, 2, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetNeurons",1034,(G__InterfaceMethod) NULL, 105, -1, G__defined_typename("Int_t"), 0, 1, 1, 2, 0, "i - 'Int_t' 0 - layer", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetNeuronFormula",1645,(G__InterfaceMethod) NULL, 117, G__get_linked_tagnum(&G__G__MLPLN_TString), -1, 0, 1, 1, 2, 0, "i - 'Int_t' 0 - idx", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetInputNeuronTitle",1961,(G__InterfaceMethod) NULL, 67, -1, -1, 0, 1, 1, 2, 1, "i - 'Int_t' 0 - in", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetOutputNeuronTitle",2090,(G__InterfaceMethod) NULL, 67, -1, -1, 0, 1, 1, 2, 1, "i - 'Int_t' 0 - out", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TMLPAnalyzer",1155,G__G__MLP_113_0_6, 105, G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer), -1, 0, 1, 1, 1, 0, "u 'TMultiLayerPerceptron' - 1 - net", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("TMLPAnalyzer",1155,G__G__MLP_113_0_7, 105, G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer), -1, 0, 1, 1, 1, 0, "U 'TMultiLayerPerceptron' - 0 - net", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DrawNetwork",1144,G__G__MLP_113_0_8, 121, -1, -1, 0, 3, 1, 1, 0, "i - 'Int_t' 0 - neuron C - - 10 - signal " "C - - 10 - bg", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DrawDInput",994,G__G__MLP_113_0_9, 121, -1, -1, 0, 1, 1, 1, 0, "i - 'Int_t' 0 - i", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DrawDInputs",1109,G__G__MLP_113_0_10, 121, -1, -1, 0, 0, 1, 1, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DrawTruthDeviation",1864,G__G__MLP_113_0_11, 85, G__get_linked_tagnum(&G__G__MLPLN_TProfile), -1, 0, 2, 1, 1, 0, "i - 'Int_t' 0 '0' outnode C - 'Option_t' 10 '\"\"' option", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DrawTruthDeviations",1979,G__G__MLP_113_0_12, 85, G__get_linked_tagnum(&G__G__MLPLN_THStack), -1, 0, 1, 1, 1, 0, "C - 'Option_t' 10 '\"\"' option", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DrawTruthDeviationInOut",2359,G__G__MLP_113_0_13, 85, G__get_linked_tagnum(&G__G__MLPLN_TProfile), -1, 0, 3, 1, 1, 0, "i - 'Int_t' 0 - innode i - 'Int_t' 0 '0' outnode " "C - 'Option_t' 10 '\"\"' option", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DrawTruthDeviationInsOut",2474,G__G__MLP_113_0_14, 85, G__get_linked_tagnum(&G__G__MLPLN_THStack), -1, 0, 2, 1, 1, 0, "i - 'Int_t' 0 '0' outnode C - 'Option_t' 10 '\"\"' option", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("CheckNetwork",1224,G__G__MLP_113_0_15, 121, -1, -1, 0, 0, 1, 1, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GatherInformations",1876,G__G__MLP_113_0_16, 121, -1, -1, 0, 0, 1, 1, 0, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("GetIOTree",840,G__G__MLP_113_0_17, 85, G__get_linked_tagnum(&G__G__MLPLN_TTree), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("Class",502,G__G__MLP_113_0_18, 85, G__get_linked_tagnum(&G__G__MLPLN_TClass), -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (TClass* (*)())(&TMLPAnalyzer::Class) ), 0); G__memfunc_setup("Class_Name",982,G__G__MLP_113_0_19, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TMLPAnalyzer::Class_Name) ), 0); G__memfunc_setup("Class_Version",1339,G__G__MLP_113_0_20, 115, -1, G__defined_typename("Version_t"), 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (Version_t (*)())(&TMLPAnalyzer::Class_Version) ), 0); G__memfunc_setup("Dictionary",1046,G__G__MLP_113_0_21, 121, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (void (*)())(&TMLPAnalyzer::Dictionary) ), 0); G__memfunc_setup("IsA",253,(G__InterfaceMethod) NULL,85, G__get_linked_tagnum(&G__G__MLPLN_TClass), -1, 0, 0, 1, 1, 8, "", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("ShowMembers",1132,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "u 'TMemberInspector' - 1 - -", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("Streamer",835,(G__InterfaceMethod) NULL,121, -1, -1, 0, 1, 1, 1, 0, "u 'TBuffer' - 1 - -", (char*)NULL, (void*) NULL, 1); G__memfunc_setup("StreamerNVirtual",1656,G__G__MLP_113_0_25, 121, -1, -1, 0, 1, 1, 1, 0, "u 'TBuffer' - 1 - ClassDef_StreamerNVirtual_b", (char*)NULL, (void*) NULL, 0); G__memfunc_setup("DeclFileName",1145,G__G__MLP_113_0_26, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TMLPAnalyzer::DeclFileName) ), 0); G__memfunc_setup("ImplFileLine",1178,G__G__MLP_113_0_27, 105, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (int (*)())(&TMLPAnalyzer::ImplFileLine) ), 0); G__memfunc_setup("ImplFileName",1171,G__G__MLP_113_0_28, 67, -1, -1, 0, 0, 3, 1, 1, "", (char*)NULL, (void*) G__func2void( (const char* (*)())(&TMLPAnalyzer::ImplFileName) ), 0); G__memfunc_setup("DeclFileLine",1152,G__G__MLP_113_0_29, 105, -1, -1, 0, 0, 3, 1, 0, "", (char*)NULL, (void*) G__func2void( (int (*)())(&TMLPAnalyzer::DeclFileLine) ), 0); // automatic copy constructor G__memfunc_setup("TMLPAnalyzer", 1155, G__G__MLP_113_0_30, (int) ('i'), G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer), -1, 0, 1, 1, 1, 0, "u 'TMLPAnalyzer' - 11 - -", (char*) NULL, (void*) NULL, 0); // automatic destructor G__memfunc_setup("~TMLPAnalyzer", 1281, G__G__MLP_113_0_31, (int) ('y'), -1, -1, 0, 0, 1, 1, 0, "", (char*) NULL, (void*) NULL, 1); // automatic assignment operator G__memfunc_setup("operator=", 937, G__G__MLP_113_0_32, (int) ('u'), G__get_linked_tagnum(&G__G__MLPLN_TMLPAnalyzer), -1, 1, 1, 1, 1, 0, "u 'TMLPAnalyzer' - 11 - -", (char*) NULL, (void*) NULL, 0); G__tag_memfunc_reset(); } /********************************************************* * Member function information setup *********************************************************/ extern "C" void G__cpp_setup_memfuncG__MLP() { } /********************************************************* * Global variable information setup for each class *********************************************************/ static void G__cpp_setup_global0() { /* Setting up global variables */ G__resetplocal(); } static void G__cpp_setup_global1() { } static void G__cpp_setup_global2() { G__resetglobalenv(); } extern "C" void G__cpp_setup_globalG__MLP() { G__cpp_setup_global0(); G__cpp_setup_global1(); G__cpp_setup_global2(); } /********************************************************* * Global function information setup for each class *********************************************************/ static void G__cpp_setup_func0() { G__lastifuncposition(); } static void G__cpp_setup_func1() { } static void G__cpp_setup_func2() { } static void G__cpp_setup_func3() { G__resetifuncposition(); } extern "C" void G__cpp_setup_funcG__MLP() { G__cpp_setup_func0(); G__cpp_setup_func1(); G__cpp_setup_func2(); G__cpp_setup_func3(); } /********************************************************* * Class,struct,union,enum tag information setup *********************************************************/ /* Setup class/struct taginfo */ G__linked_taginfo G__G__MLPLN_TClass = { "TClass" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TBuffer = { "TBuffer" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMemberInspector = { "TMemberInspector" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TObject = { "TObject" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TNamed = { "TNamed" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TString = { "TString" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_vectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgR = { "vector >" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_reverse_iteratorlEvectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgRcLcLiteratorgR = { "reverse_iterator >::iterator>" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TObjArray = { "TObjArray" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_vectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgR = { "vector >" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_reverse_iteratorlEvectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgRcLcLiteratorgR = { "reverse_iterator >::iterator>" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TTree = { "TTree" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TNeuron = { "TNeuron" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TSynapse = { "TSynapse" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMultiLayerPerceptron = { "TMultiLayerPerceptron" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TProfile = { "TProfile" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_THStack = { "THStack" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMLPAnalyzer = { "TMLPAnalyzer" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_iteratorlEbidirectional_iterator_tagcOTObjectmUcOlongcOconstsPTObjectmUmUcOconstsPTObjectmUaNgR = { "iterator" , 115 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTBaselEfloatgR = { "TMatrixTBase" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTBaselEdoublegR = { "TMatrixTBase" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TVectorTlEfloatgR = { "TVectorT" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TVectorTlEdoublegR = { "TVectorT" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TElementActionTlEdoublegR = { "TElementActionT" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TElementPosActionTlEdoublegR = { "TElementPosActionT" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTlEdoublegR = { "TMatrixT" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTRow_constlEdoublegR = { "TMatrixTRow_const" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTRowlEdoublegR = { "TMatrixTRow" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTDiag_constlEdoublegR = { "TMatrixTDiag_const" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTColumn_constlEdoublegR = { "TMatrixTColumn_const" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTFlat_constlEdoublegR = { "TMatrixTFlat_const" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTSub_constlEdoublegR = { "TMatrixTSub_const" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTSparseRow_constlEdoublegR = { "TMatrixTSparseRow_const" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTSparseDiag_constlEdoublegR = { "TMatrixTSparseDiag_const" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTColumnlEdoublegR = { "TMatrixTColumn" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTDiaglEdoublegR = { "TMatrixTDiag" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTFlatlEdoublegR = { "TMatrixTFlat" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTSublEdoublegR = { "TMatrixTSub" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTSparseRowlEdoublegR = { "TMatrixTSparseRow" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMatrixTSparseDiaglEdoublegR = { "TMatrixTSparseDiag" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TTreeFormula = { "TTreeFormula" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TFormula = { "TFormula" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TNeuroncLcLENeuronType = { "TNeuron::ENeuronType" , 101 , -1 }; G__linked_taginfo G__G__MLPLN_TEventList = { "TEventList" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TTreeFormulaManager = { "TTreeFormulaManager" , 99 , -1 }; G__linked_taginfo G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod = { "TMultiLayerPerceptron::ELearningMethod" , 101 , -1 }; G__linked_taginfo G__G__MLPLN_TMultiLayerPerceptroncLcLEDataSet = { "TMultiLayerPerceptron::EDataSet" , 101 , -1 }; /* Reset class/struct taginfo */ extern "C" void G__cpp_reset_tagtableG__MLP() { G__G__MLPLN_TClass.tagnum = -1 ; G__G__MLPLN_TBuffer.tagnum = -1 ; G__G__MLPLN_TMemberInspector.tagnum = -1 ; G__G__MLPLN_TObject.tagnum = -1 ; G__G__MLPLN_TNamed.tagnum = -1 ; G__G__MLPLN_TString.tagnum = -1 ; G__G__MLPLN_vectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgR.tagnum = -1 ; G__G__MLPLN_reverse_iteratorlEvectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgRcLcLiteratorgR.tagnum = -1 ; G__G__MLPLN_TObjArray.tagnum = -1 ; G__G__MLPLN_vectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgR.tagnum = -1 ; G__G__MLPLN_reverse_iteratorlEvectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgRcLcLiteratorgR.tagnum = -1 ; G__G__MLPLN_TTree.tagnum = -1 ; G__G__MLPLN_TNeuron.tagnum = -1 ; G__G__MLPLN_TSynapse.tagnum = -1 ; G__G__MLPLN_TMultiLayerPerceptron.tagnum = -1 ; G__G__MLPLN_TProfile.tagnum = -1 ; G__G__MLPLN_THStack.tagnum = -1 ; G__G__MLPLN_TMLPAnalyzer.tagnum = -1 ; G__G__MLPLN_iteratorlEbidirectional_iterator_tagcOTObjectmUcOlongcOconstsPTObjectmUmUcOconstsPTObjectmUaNgR.tagnum = -1 ; G__G__MLPLN_TMatrixTBaselEfloatgR.tagnum = -1 ; G__G__MLPLN_TMatrixTBaselEdoublegR.tagnum = -1 ; G__G__MLPLN_TVectorTlEfloatgR.tagnum = -1 ; G__G__MLPLN_TVectorTlEdoublegR.tagnum = -1 ; G__G__MLPLN_TElementActionTlEdoublegR.tagnum = -1 ; G__G__MLPLN_TElementPosActionTlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTRow_constlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTRowlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTDiag_constlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTColumn_constlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTFlat_constlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTSub_constlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTSparseRow_constlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTSparseDiag_constlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTColumnlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTDiaglEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTFlatlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTSublEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTSparseRowlEdoublegR.tagnum = -1 ; G__G__MLPLN_TMatrixTSparseDiaglEdoublegR.tagnum = -1 ; G__G__MLPLN_TTreeFormula.tagnum = -1 ; G__G__MLPLN_TFormula.tagnum = -1 ; G__G__MLPLN_TNeuroncLcLENeuronType.tagnum = -1 ; G__G__MLPLN_TEventList.tagnum = -1 ; G__G__MLPLN_TTreeFormulaManager.tagnum = -1 ; G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod.tagnum = -1 ; G__G__MLPLN_TMultiLayerPerceptroncLcLEDataSet.tagnum = -1 ; } extern "C" void G__cpp_setup_tagtableG__MLP() { /* Setting up class,struct,union tag entry */ G__get_linked_tagnum_fwd(&G__G__MLPLN_TClass); G__get_linked_tagnum_fwd(&G__G__MLPLN_TBuffer); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMemberInspector); G__get_linked_tagnum_fwd(&G__G__MLPLN_TObject); G__get_linked_tagnum_fwd(&G__G__MLPLN_TNamed); G__get_linked_tagnum_fwd(&G__G__MLPLN_TString); G__get_linked_tagnum_fwd(&G__G__MLPLN_vectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgR); G__get_linked_tagnum_fwd(&G__G__MLPLN_reverse_iteratorlEvectorlEROOTcLcLTSchemaHelpercOallocatorlEROOTcLcLTSchemaHelpergRsPgRcLcLiteratorgR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TObjArray); G__get_linked_tagnum_fwd(&G__G__MLPLN_vectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgR); G__get_linked_tagnum_fwd(&G__G__MLPLN_reverse_iteratorlEvectorlETVirtualArraymUcOallocatorlETVirtualArraymUgRsPgRcLcLiteratorgR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TTree); G__tagtable_setup(G__get_linked_tagnum_fwd(&G__G__MLPLN_TNeuron),sizeof(TNeuron),-1,327424,"Neuron for MultiLayerPerceptrons",G__setup_memvarTNeuron,G__setup_memfuncTNeuron); G__tagtable_setup(G__get_linked_tagnum_fwd(&G__G__MLPLN_TSynapse),sizeof(TSynapse),-1,324864,"simple weighted bidirectionnal connection between 2 neurons",G__setup_memvarTSynapse,G__setup_memfuncTSynapse); G__tagtable_setup(G__get_linked_tagnum_fwd(&G__G__MLPLN_TMultiLayerPerceptron),sizeof(TMultiLayerPerceptron),-1,327424,"a Neural Network",G__setup_memvarTMultiLayerPerceptron,G__setup_memfuncTMultiLayerPerceptron); G__get_linked_tagnum_fwd(&G__G__MLPLN_TProfile); G__get_linked_tagnum_fwd(&G__G__MLPLN_THStack); G__tagtable_setup(G__get_linked_tagnum_fwd(&G__G__MLPLN_TMLPAnalyzer),sizeof(TMLPAnalyzer),-1,324608,"A simple analysis class for MLP",G__setup_memvarTMLPAnalyzer,G__setup_memfuncTMLPAnalyzer); G__get_linked_tagnum_fwd(&G__G__MLPLN_iteratorlEbidirectional_iterator_tagcOTObjectmUcOlongcOconstsPTObjectmUmUcOconstsPTObjectmUaNgR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTBaselEfloatgR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTBaselEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TVectorTlEfloatgR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TVectorTlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TElementActionTlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TElementPosActionTlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTRow_constlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTRowlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTDiag_constlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTColumn_constlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTFlat_constlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTSub_constlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTSparseRow_constlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTSparseDiag_constlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTColumnlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTDiaglEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTFlatlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTSublEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTSparseRowlEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMatrixTSparseDiaglEdoublegR); G__get_linked_tagnum_fwd(&G__G__MLPLN_TTreeFormula); G__get_linked_tagnum_fwd(&G__G__MLPLN_TFormula); G__get_linked_tagnum_fwd(&G__G__MLPLN_TNeuroncLcLENeuronType); G__get_linked_tagnum_fwd(&G__G__MLPLN_TEventList); G__get_linked_tagnum_fwd(&G__G__MLPLN_TTreeFormulaManager); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMultiLayerPerceptroncLcLELearningMethod); G__get_linked_tagnum_fwd(&G__G__MLPLN_TMultiLayerPerceptroncLcLEDataSet); } extern "C" void G__cpp_setupG__MLP(void) { G__check_setup_version(30051515,"G__cpp_setupG__MLP()"); G__set_cpp_environmentG__MLP(); G__cpp_setup_tagtableG__MLP(); G__cpp_setup_inheritanceG__MLP(); G__cpp_setup_typetableG__MLP(); G__cpp_setup_memvarG__MLP(); G__cpp_setup_memfuncG__MLP(); G__cpp_setup_globalG__MLP(); G__cpp_setup_funcG__MLP(); if(0==G__getsizep2memfunc()) G__get_sizep2memfuncG__MLP(); return; } class G__cpp_setup_initG__MLP { public: G__cpp_setup_initG__MLP() { G__add_setup_func("G__MLP",(G__incsetup)(&G__cpp_setupG__MLP)); G__call_setup_funcs(); } ~G__cpp_setup_initG__MLP() { G__remove_setup_func("G__MLP"); } }; G__cpp_setup_initG__MLP G__cpp_setup_initializerG__MLP;