AttachData() | TMultiLayerPerceptron | protected |
BFGSDir(TMatrixD &, Double_t *) | TMultiLayerPerceptron | protected |
BuildFirstLayer(TString &) | TMultiLayerPerceptron | private |
BuildHiddenLayers(TString &) | TMultiLayerPerceptron | private |
BuildLastLayer(TString &, Int_t) | TMultiLayerPerceptron | private |
BuildNetwork() | TMultiLayerPerceptron | protected |
BuildOneHiddenLayer(const TString &sNumNodes, Int_t &layer, Int_t &prevStart, Int_t &prevStop, Bool_t lastLayer) | TMultiLayerPerceptron | private |
ComputeDEDw() const | TMultiLayerPerceptron | |
ConjugateGradientsDir(Double_t *, Double_t) | TMultiLayerPerceptron | protected |
DerivDir(Double_t *) | TMultiLayerPerceptron | protected |
Draw(Option_t *option="") | TMultiLayerPerceptron | virtual |
DrawResult(Int_t index=0, Option_t *option="test") const | TMultiLayerPerceptron | |
DumpWeights(Option_t *filename="-") const | TMultiLayerPerceptron | |
EDataSet enum name | TMultiLayerPerceptron | |
ELearningMethod enum name | TMultiLayerPerceptron | |
Evaluate(Int_t index, Double_t *params) const | TMultiLayerPerceptron | |
ExpandStructure() | TMultiLayerPerceptron | private |
Export(Option_t *filename="NNfunction", Option_t *language="C++") const | TMultiLayerPerceptron | |
fCurrentTree | TMultiLayerPerceptron | private |
fCurrentTreeWeight | TMultiLayerPerceptron | private |
fData | TMultiLayerPerceptron | private |
fDelta | TMultiLayerPerceptron | private |
fEpsilon | TMultiLayerPerceptron | private |
fEta | TMultiLayerPerceptron | private |
fEtaDecay | TMultiLayerPerceptron | private |
fEventWeight | TMultiLayerPerceptron | private |
fextD | TMultiLayerPerceptron | private |
fextF | TMultiLayerPerceptron | private |
fFirstLayer | TMultiLayerPerceptron | private |
fLastAlpha | TMultiLayerPerceptron | private |
fLastLayer | TMultiLayerPerceptron | private |
fLearningMethod | TMultiLayerPerceptron | private |
fManager | TMultiLayerPerceptron | private |
fNetwork | TMultiLayerPerceptron | private |
fOutType | TMultiLayerPerceptron | private |
fReset | TMultiLayerPerceptron | private |
fStructure | TMultiLayerPerceptron | private |
fSynapses | TMultiLayerPerceptron | private |
fTau | TMultiLayerPerceptron | private |
fTest | TMultiLayerPerceptron | private |
fTestOwner | TMultiLayerPerceptron | private |
fTraining | TMultiLayerPerceptron | private |
fTrainingOwner | TMultiLayerPerceptron | private |
fType | TMultiLayerPerceptron | private |
fWeight | TMultiLayerPerceptron | private |
GetBFGSH(TMatrixD &, TMatrixD &, TMatrixD &) | TMultiLayerPerceptron | protected |
GetCrossEntropy() const | TMultiLayerPerceptron | protected |
GetCrossEntropyBinary() const | TMultiLayerPerceptron | protected |
GetDelta() const | TMultiLayerPerceptron | inline |
GetEntry(Int_t) const | TMultiLayerPerceptron | protected |
GetEpsilon() const | TMultiLayerPerceptron | inline |
GetError(Int_t event) const | TMultiLayerPerceptron | |
GetError(TMultiLayerPerceptron::EDataSet set) const | TMultiLayerPerceptron | |
GetEta() const | TMultiLayerPerceptron | inline |
GetEtaDecay() const | TMultiLayerPerceptron | inline |
GetLearningMethod() const | TMultiLayerPerceptron | inline |
GetReset() const | TMultiLayerPerceptron | inline |
GetStructure() const | TMultiLayerPerceptron | inline |
GetSumSquareError() const | TMultiLayerPerceptron | protected |
GetTau() const | TMultiLayerPerceptron | inline |
GetType() const | TMultiLayerPerceptron | inline |
kBatch enum value | TMultiLayerPerceptron | |
kBFGS enum value | TMultiLayerPerceptron | |
kFletcherReeves enum value | TMultiLayerPerceptron | |
kRibierePolak enum value | TMultiLayerPerceptron | |
kSteepestDescent enum value | TMultiLayerPerceptron | |
kStochastic enum value | TMultiLayerPerceptron | |
kTest enum value | TMultiLayerPerceptron | |
kTraining enum value | TMultiLayerPerceptron | |
LineSearch(Double_t *, Double_t *) | TMultiLayerPerceptron | protected |
LoadWeights(Option_t *filename="") | TMultiLayerPerceptron | |
MLP_Batch(Double_t *) | TMultiLayerPerceptron | protected |
MLP_Line(Double_t *, Double_t *, Double_t) | TMultiLayerPerceptron | private |
MLP_Stochastic(Double_t *) | TMultiLayerPerceptron | protected |
operator=(const TMultiLayerPerceptron &) | TMultiLayerPerceptron | private |
Randomize() const | TMultiLayerPerceptron | |
Result(Int_t event, Int_t index=0) const | TMultiLayerPerceptron | |
SetData(TTree *) | TMultiLayerPerceptron | |
SetDelta(Double_t delta) | TMultiLayerPerceptron | |
SetEpsilon(Double_t eps) | TMultiLayerPerceptron | |
SetEta(Double_t eta) | TMultiLayerPerceptron | |
SetEtaDecay(Double_t ed) | TMultiLayerPerceptron | |
SetEventWeight(const char *) | TMultiLayerPerceptron | |
SetGammaDelta(TMatrixD &, TMatrixD &, Double_t *) | TMultiLayerPerceptron | protected |
SetLearningMethod(TMultiLayerPerceptron::ELearningMethod method) | TMultiLayerPerceptron | |
SetReset(Int_t reset) | TMultiLayerPerceptron | |
SetTau(Double_t tau) | TMultiLayerPerceptron | |
SetTestDataSet(TEventList *test) | TMultiLayerPerceptron | |
SetTestDataSet(const char *test) | TMultiLayerPerceptron | |
SetTrainingDataSet(TEventList *train) | TMultiLayerPerceptron | |
SetTrainingDataSet(const char *train) | TMultiLayerPerceptron | |
Shuffle(Int_t *, Int_t) const | TMultiLayerPerceptron | private |
SteepestDir(Double_t *) | TMultiLayerPerceptron | protected |
TMLPAnalyzer class | TMultiLayerPerceptron | friend |
TMultiLayerPerceptron() | TMultiLayerPerceptron | |
TMultiLayerPerceptron(const char *layout, TTree *data=0, const char *training="Entry$%2==0", const char *test="", TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="") | TMultiLayerPerceptron | |
TMultiLayerPerceptron(const char *layout, const char *weight, TTree *data=0, const char *training="Entry$%2==0", const char *test="", TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="") | TMultiLayerPerceptron | |
TMultiLayerPerceptron(const char *layout, TTree *data, TEventList *training, TEventList *test, TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="") | TMultiLayerPerceptron | |
TMultiLayerPerceptron(const char *layout, const char *weight, TTree *data, TEventList *training, TEventList *test, TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="") | TMultiLayerPerceptron | |
TMultiLayerPerceptron(const TMultiLayerPerceptron &) | TMultiLayerPerceptron | private |
Train(Int_t nEpoch, Option_t *option="text", Double_t minE=0) | TMultiLayerPerceptron | |
~TMultiLayerPerceptron() | TMultiLayerPerceptron | virtual |