TMultiLayerPerceptron Class Reference

#include <TMultiLayerPerceptron.h>

Inheritance diagram for TMultiLayerPerceptron:

TObject TObject List of all members.

Public Types

enum  ELearningMethod
enum  EDataSet
enum  ELearningMethod
enum  EDataSet

Public Member Functions

 TMultiLayerPerceptron ()
 TMultiLayerPerceptron (const char *layout, TTree *data=0, const char *training="Entry$%2==0", const char *test="", TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="")
 TMultiLayerPerceptron (const char *layout, const char *weight, TTree *data=0, const char *training="Entry$%2==0", const char *test="", TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="")
 TMultiLayerPerceptron (const char *layout, TTree *data, TEventList *training, TEventList *test, TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="")
 TMultiLayerPerceptron (const char *layout, const char *weight, TTree *data, TEventList *training, TEventList *test, TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="")
virtual ~TMultiLayerPerceptron ()
void SetData (TTree *)
void SetTrainingDataSet (TEventList *train)
void SetTestDataSet (TEventList *test)
void SetTrainingDataSet (const char *train)
void SetTestDataSet (const char *test)
void SetLearningMethod (TMultiLayerPerceptron::ELearningMethod method)
void SetEventWeight (const char *)
void Train (Int_t nEpoch, Option_t *option="text", Double_t minE=0)
Double_t Result (Int_t event, Int_t index=0) const
Double_t GetError (Int_t event) const
Double_t GetError (TMultiLayerPerceptron::EDataSet set) const
void ComputeDEDw () const
void Randomize () const
void SetEta (Double_t eta)
void SetEpsilon (Double_t eps)
void SetDelta (Double_t delta)
void SetEtaDecay (Double_t ed)
void SetTau (Double_t tau)
void SetReset (Int_t reset)
Double_t GetEta () const
Double_t GetEpsilon () const
Double_t GetDelta () const
Double_t GetEtaDecay () const
Double_t GetTau () const
Int_t GetReset () const
TString GetStructure () const
TNeuron::ENeuronType GetType () const
void DrawResult (Int_t index=0, Option_t *option="test") const
void DumpWeights (Option_t *filename="-") const
void LoadWeights (Option_t *filename="")
Double_t Evaluate (Int_t index, Double_t *params) const
void Export (Option_t *filename="NNfunction", Option_t *language="C++") const
virtual void Draw (Option_t *option="")
 TMultiLayerPerceptron ()
 TMultiLayerPerceptron (const char *layout, TTree *data=0, const char *training="Entry$%2==0", const char *test="", TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="")
 TMultiLayerPerceptron (const char *layout, const char *weight, TTree *data=0, const char *training="Entry$%2==0", const char *test="", TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="")
 TMultiLayerPerceptron (const char *layout, TTree *data, TEventList *training, TEventList *test, TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="")
 TMultiLayerPerceptron (const char *layout, const char *weight, TTree *data, TEventList *training, TEventList *test, TNeuron::ENeuronType type=TNeuron::kSigmoid, const char *extF="", const char *extD="")
virtual ~TMultiLayerPerceptron ()
void SetData (TTree *)
void SetTrainingDataSet (TEventList *train)
void SetTestDataSet (TEventList *test)
void SetTrainingDataSet (const char *train)
void SetTestDataSet (const char *test)
void SetLearningMethod (TMultiLayerPerceptron::ELearningMethod method)
void SetEventWeight (const char *)
void Train (Int_t nEpoch, Option_t *option="text", Double_t minE=0)
Double_t Result (Int_t event, Int_t index=0) const
Double_t GetError (Int_t event) const
Double_t GetError (TMultiLayerPerceptron::EDataSet set) const
void ComputeDEDw () const
void Randomize () const
void SetEta (Double_t eta)
void SetEpsilon (Double_t eps)
void SetDelta (Double_t delta)
void SetEtaDecay (Double_t ed)
void SetTau (Double_t tau)
void SetReset (Int_t reset)
Double_t GetEta () const
Double_t GetEpsilon () const
Double_t GetDelta () const
Double_t GetEtaDecay () const
Double_t GetTau () const
Int_t GetReset () const
TString GetStructure () const
TNeuron::ENeuronType GetType () const
void DrawResult (Int_t index=0, Option_t *option="test") const
void DumpWeights (Option_t *filename="-") const
void LoadWeights (Option_t *filename="")
Double_t Evaluate (Int_t index, Double_t *params) const
void Export (Option_t *filename="NNfunction", Option_t *language="C++") const
virtual void Draw (Option_t *option="")

Protected Member Functions

void AttachData ()
void BuildNetwork ()
void GetEntry (Int_t) const
void MLP_Stochastic (Double_t *)
void MLP_Batch (Double_t *)
Bool_t LineSearch (Double_t *, Double_t *)
void SteepestDir (Double_t *)
void ConjugateGradientsDir (Double_t *, Double_t)
void SetGammaDelta (TMatrixD &, TMatrixD &, Double_t *)
bool GetBFGSH (TMatrixD &, TMatrixD &, TMatrixD &)
void BFGSDir (TMatrixD &, Double_t *)
Double_t DerivDir (Double_t *)
Double_t GetCrossEntropyBinary () const
Double_t GetCrossEntropy () const
Double_t GetSumSquareError () const
void AttachData ()
void BuildNetwork ()
void GetEntry (Int_t) const
void MLP_Stochastic (Double_t *)
void MLP_Batch (Double_t *)
Bool_t LineSearch (Double_t *, Double_t *)
void SteepestDir (Double_t *)
void ConjugateGradientsDir (Double_t *, Double_t)
void SetGammaDelta (TMatrixD &, TMatrixD &, Double_t *)
bool GetBFGSH (TMatrixD &, TMatrixD &, TMatrixD &)
void BFGSDir (TMatrixD &, Double_t *)
Double_t DerivDir (Double_t *)
Double_t GetCrossEntropyBinary () const
Double_t GetCrossEntropy () const
Double_t GetSumSquareError () const

Private Member Functions

 TMultiLayerPerceptron (const TMultiLayerPerceptron &)
TMultiLayerPerceptron & operator= (const TMultiLayerPerceptron &)
void ExpandStructure ()
void BuildFirstLayer (TString &)
void BuildHiddenLayers (TString &)
void BuildOneHiddenLayer (const TString &sNumNodes, Int_t &layer, Int_t &prevStart, Int_t &prevStop, Bool_t lastLayer)
void BuildLastLayer (TString &, Int_t)
void Shuffle (Int_t *, Int_t) const
void MLP_Line (Double_t *, Double_t *, Double_t)
 TMultiLayerPerceptron (const TMultiLayerPerceptron &)
TMultiLayerPerceptron & operator= (const TMultiLayerPerceptron &)
void ExpandStructure ()
void BuildFirstLayer (TString &)
void BuildHiddenLayers (TString &)
void BuildOneHiddenLayer (const TString &sNumNodes, Int_t &layer, Int_t &prevStart, Int_t &prevStop, Bool_t lastLayer)
void BuildLastLayer (TString &, Int_t)
void Shuffle (Int_t *, Int_t) const
void MLP_Line (Double_t *, Double_t *, Double_t)

Private Attributes

TTree * fData
Int_t fCurrentTree
 pointer to the tree used as datasource
Double_t fCurrentTreeWeight
 index of the current tree in a chain
TObjArray fNetwork
 weight of the current tree in a chain
TObjArray fFirstLayer
TObjArray fLastLayer
TObjArray fSynapses
TString fStructure
TString fWeight
TNeuron::ENeuronType fType
TNeuron::ENeuronType fOutType
TString fextF
TString fextD
TEventList * fTraining
TEventList * fTest
 EventList defining the events in the training dataset.
ELearningMethod fLearningMethod
 EventList defining the events in the test dataset.
TTreeFormula * fEventWeight
 The Learning Method.
TTreeFormulaManager * fManager
 formula representing the event weight
Double_t fEta
 TTreeFormulaManager for the weight and neurons.
Double_t fEpsilon
 Eta - used in stochastic minimisation - Default=0.1.
Double_t fDelta
 Epsilon - used in stochastic minimisation - Default=0.
Double_t fEtaDecay
 Delta - used in stochastic minimisation - Default=0.
Double_t fTau
 EtaDecay - Eta *= EtaDecay at each epoch - Default=1.
Double_t fLastAlpha
 Tau - used in line search - Default=3.
Int_t fReset
 internal parameter used in line search
Bool_t fTrainingOwner
 number of epochs between two resets of the search direction to the steepest descent - Default=50
Bool_t fTestOwner
 internal flag whether one has to delete fTraining or not
TTree * fData
TEventList * fTraining
TEventList * fTest
 EventList defining the events in the training dataset.
TTreeFormula * fEventWeight
 The Learning Method.
TTreeFormulaManager * fManager
 formula representing the event weight

Friends

class TMLPAnalyzer

Detailed Description

Definition at line 58 of file TMultiLayerPerceptron.h.

Member Enumeration Documentation

enum TMultiLayerPerceptron::ELearningMethod

Definition at line 62 of file TMultiLayerPerceptron.h.

enum TMultiLayerPerceptron::EDataSet

Definition at line 64 of file TMultiLayerPerceptron.h.

enum TMultiLayerPerceptron::ELearningMethod

Definition at line 62 of file TMultiLayerPerceptron.h.

enum TMultiLayerPerceptron::EDataSet

Definition at line 64 of file TMultiLayerPerceptron.h.

Constructor & Destructor Documentation

TMultiLayerPerceptron::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 = "" 
)

Definition at line 401 of file TMultiLayerPerceptron.cxx.

References AttachData(), BuildNetwork(), data, fCurrentTree, fCurrentTreeWeight, fData, fDelta, fEpsilon, fEta, fEtaDecay, fEventWeight, fextD, fextF, fFirstLayer, fLastAlpha, fLastLayer, fLearningMethod, fManager, fNetwork, Form(), fOutType, fReset, fStructure, fSynapses, fTau, fTest, fTestOwner, fTraining, fTrainingOwner, fType, fWeight, TClass::GetClass(), gSystem, kBFGS, TNeuron::kLinear, TSystem::Load(), TCollection::SetOwner(), and TObject::Warning().

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 = "" 
)

Definition at line 467 of file TMultiLayerPerceptron.cxx.

References AttachData(), BuildNetwork(), data, fCurrentTree, fCurrentTreeWeight, fData, fDelta, fEpsilon, fEta, fEtaDecay, fEventWeight, fextD, fextF, fFirstLayer, fLastAlpha, fLastLayer, fLearningMethod, fManager, fNetwork, Form(), fOutType, fReset, fStructure, fSynapses, fTau, fTest, fTestOwner, fTraining, fTrainingOwner, fType, fWeight, TClass::GetClass(), gSystem, kBFGS, TNeuron::kLinear, TSystem::Load(), TCollection::SetOwner(), and TObject::Warning().

TMultiLayerPerceptron::TMultiLayerPerceptron ( const char *  layout,
TTree *  data,
TEventList *  training,
TEventList *  test,
TNeuron::ENeuronType  type = TNeuron::kSigmoid,
const char *  extF = "",
const char *  extD = "" 
)

Definition at line 284 of file TMultiLayerPerceptron.cxx.

References AttachData(), BuildNetwork(), data, fCurrentTree, fCurrentTreeWeight, fData, fDelta, fEpsilon, fEta, fEtaDecay, fEventWeight, fextD, fextF, fFirstLayer, fLastAlpha, fLastLayer, fLearningMethod, fManager, fNetwork, fOutType, fReset, fStructure, fSynapses, fTau, fTest, fTestOwner, fTraining, fTrainingOwner, fType, fWeight, TClass::GetClass(), gSystem, kBFGS, TNeuron::kLinear, TSystem::Load(), TCollection::SetOwner(), and test().

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 = "" 
)

Definition at line 342 of file TMultiLayerPerceptron.cxx.

References AttachData(), BuildNetwork(), data, fCurrentTree, fCurrentTreeWeight, fData, fDelta, fEpsilon, fEta, fEtaDecay, fEventWeight, fextD, fextF, fFirstLayer, fLastAlpha, fLastLayer, fLearningMethod, fManager, fNetwork, fOutType, fReset, fStructure, fSynapses, fTau, fTest, fTestOwner, fTraining, fTrainingOwner, fType, fWeight, TClass::GetClass(), gSystem, kBFGS, TNeuron::kLinear, TSystem::Load(), TCollection::SetOwner(), and test().

TMultiLayerPerceptron::~TMultiLayerPerceptron (  )  [virtual]

Definition at line 534 of file TMultiLayerPerceptron.cxx.

References fTest, fTestOwner, fTraining, and fTrainingOwner.

TMultiLayerPerceptron::TMultiLayerPerceptron ( const TMultiLayerPerceptron &   )  [private]

TMultiLayerPerceptron::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 = "" 
)

virtual TMultiLayerPerceptron::~TMultiLayerPerceptron (  )  [virtual]

TMultiLayerPerceptron::TMultiLayerPerceptron ( const TMultiLayerPerceptron &   )  [private]

Member Function Documentation

void TMultiLayerPerceptron::SetData ( TTree *   ) 

Definition at line 542 of file TMultiLayerPerceptron.cxx.

References AttachData(), BuildNetwork(), data, and fData.

void TMultiLayerPerceptron::SetTrainingDataSet ( TEventList *  train  ) 

Definition at line 571 of file TMultiLayerPerceptron.cxx.

References fTraining, and fTrainingOwner.

void TMultiLayerPerceptron::SetTestDataSet ( TEventList *  test  ) 

Definition at line 581 of file TMultiLayerPerceptron.cxx.

References fTest, fTestOwner, and test().

void TMultiLayerPerceptron::SetTrainingDataSet ( const char *  train  ) 

Definition at line 591 of file TMultiLayerPerceptron.cxx.

References TTree::Draw(), fData, Form(), fTraining, fTrainingOwner, and TObject::Warning().

void TMultiLayerPerceptron::SetTestDataSet ( const char *  test  ) 

Definition at line 608 of file TMultiLayerPerceptron.cxx.

References TTree::Draw(), fData, Form(), fTest, fTestOwner, TNamed::GetName(), and TObject::Warning().

void TMultiLayerPerceptron::SetLearningMethod ( TMultiLayerPerceptron::ELearningMethod  method  ) 

Definition at line 626 of file TMultiLayerPerceptron.cxx.

References fLearningMethod.

Referenced by TMVA::MethodTMlpANN::Train().

void TMultiLayerPerceptron::SetEventWeight ( const char *   ) 

Definition at line 557 of file TMultiLayerPerceptron.cxx.

References TTreeFormulaManager::Add(), TString::Data(), fData, fEventWeight, fManager, fWeight, and TTreeFormulaManager::Remove().

Referenced by TMVA::MethodTMlpANN::Train().

void TMultiLayerPerceptron::Train ( Int_t  nEpoch,
Option_t *  option = "text",
Double_t  minE = 0 
)

Definition at line 710 of file TMultiLayerPerceptron.cxx.

References TMultiGraph::Add(), TLegend::AddEntry(), TList::At(), BFGSDir(), buffer, canvas, ComputeDEDw(), ConjugateGradientsDir(), TString::Contains(), DerivDir(), dir(), TMultiGraph::Draw(), TLegend::Draw(), TObject::Error(), fData, fLastAlpha, fLearningMethod, fNetwork, fReset, fSynapses, fTest, fTraining, ROOT::Math::Cephes::gamma(), GetBFGSH(), TSynapse::GetDEDw(), TNeuron::GetDEDw(), TObjArray::GetEntriesFast(), GetError(), TMultiGraph::GetListOfGraphs(), TEventList::GetN(), TMultiGraph::GetXaxis(), TGraph::GetY(), TMultiGraph::GetYaxis(), gPad, gSystem, i, TObject::Info(), isnan(), kBatch, kBFGS, kFletcherReeves, kRibierePolak, kSteepestDescent, kStochastic, kTest, kTraining, legend, LineSearch(), MLP_Batch(), MLP_Stochastic(), TPad::Modified(), nentries, norm(), out, TSystem::ProcessEvents(), Randomize(), TAxis::SetDecimals(), SetGammaDelta(), TAttPad::SetLeftMargin(), TAttLine::SetLineColor(), TGraph::SetPoint(), TNamed::SetTitle(), TAttAxis::SetTitleOffset(), TMath::Sqrt(), SteepestDir(), TString::ToLower(), TObjArray::UncheckedAt(), TMatrixTBase< Element >::UnitMatrix(), TAxis::UnZoom(), and TCanvas::Update().

Referenced by mlpHiggs(), mlpRegression(), and TMVA::MethodTMlpANN::Train().

Double_t TMultiLayerPerceptron::Result ( Int_t  event,
Int_t  index = 0 
) const

Definition at line 962 of file TMultiLayerPerceptron.cxx.

References TObjArray::At(), fLastLayer, GetEntry(), and out.

Referenced by TMLPAnalyzer::DrawNetwork(), and DrawResult().

Double_t TMultiLayerPerceptron::GetError ( Int_t  event  )  const

Definition at line 975 of file TMultiLayerPerceptron.cxx.

References error, TTreeFormula::EvalInstance(), fCurrentTreeWeight, fEventWeight, fLastLayer, fOutType, GetCrossEntropy(), GetCrossEntropyBinary(), TObjArray::GetEntriesFast(), GetEntry(), GetSumSquareError(), TNeuron::kLinear, TNeuron::kSigmoid, and TNeuron::kSoftmax.

Referenced by GetError(), LineSearch(), and Train().

Double_t TMultiLayerPerceptron::GetError ( TMultiLayerPerceptron::EDataSet  set  )  const

Definition at line 1003 of file TMultiLayerPerceptron.cxx.

References error, fData, fTest, fTraining, GetError(), i, kTraining, list, and nEvents.

void TMultiLayerPerceptron::ComputeDEDw (  )  const

Definition at line 1086 of file TMultiLayerPerceptron.cxx.

References TTreeFormula::EvalInstance(), fCurrentTreeWeight, fData, fEventWeight, fNetwork, fSynapses, fTraining, TSynapse::GetDEDw(), TNeuron::GetDEDw(), TNeuron::GetDeDw(), TSynapse::GetDeDw(), TTree::GetEntries(), TObjArray::GetEntriesFast(), GetEntry(), TEventList::GetEntry(), TEventList::GetN(), i, j, nentries, nEvents, TSynapse::SetDEDw(), TNeuron::SetDEDw(), and TObjArray::UncheckedAt().

Referenced by SetGammaDelta(), and Train().

void TMultiLayerPerceptron::Randomize (  )  const

Definition at line 1162 of file TMultiLayerPerceptron.cxx.

References fNetwork, fSynapses, TObjArray::GetEntriesFast(), j, nentries, TSynapse::SetWeight(), TNeuron::SetWeight(), ts, and TObjArray::UncheckedAt().

Referenced by Train().

void TMultiLayerPerceptron::SetEta ( Double_t  eta  ) 

Definition at line 637 of file TMultiLayerPerceptron.cxx.

References fEta.

void TMultiLayerPerceptron::SetEpsilon ( Double_t  eps  ) 

Definition at line 646 of file TMultiLayerPerceptron.cxx.

References fEpsilon.

void TMultiLayerPerceptron::SetDelta ( Double_t  delta  ) 

Definition at line 655 of file TMultiLayerPerceptron.cxx.

References fDelta.

void TMultiLayerPerceptron::SetEtaDecay ( Double_t  ed  ) 

Definition at line 664 of file TMultiLayerPerceptron.cxx.

References fEtaDecay.

void TMultiLayerPerceptron::SetTau ( Double_t  tau  ) 

Definition at line 673 of file TMultiLayerPerceptron.cxx.

References fTau.

void TMultiLayerPerceptron::SetReset ( Int_t  reset  ) 

Definition at line 682 of file TMultiLayerPerceptron.cxx.

References fReset.

Double_t TMultiLayerPerceptron::GetEta (  )  const [inline]

Definition at line 108 of file TMultiLayerPerceptron.h.

References fEta.

Double_t TMultiLayerPerceptron::GetEpsilon (  )  const [inline]

Definition at line 109 of file TMultiLayerPerceptron.h.

References fEpsilon.

Double_t TMultiLayerPerceptron::GetDelta (  )  const [inline]

Definition at line 110 of file TMultiLayerPerceptron.h.

References fDelta.

Double_t TMultiLayerPerceptron::GetEtaDecay (  )  const [inline]

Definition at line 111 of file TMultiLayerPerceptron.h.

References fEtaDecay.

Double_t TMultiLayerPerceptron::GetTau ( void   )  const [inline]

Definition at line 112 of file TMultiLayerPerceptron.h.

References fTau.

Int_t TMultiLayerPerceptron::GetReset (  )  const [inline]

Definition at line 113 of file TMultiLayerPerceptron.h.

References fReset.

TString TMultiLayerPerceptron::GetStructure (  )  const [inline]

Definition at line 114 of file TMultiLayerPerceptron.h.

References fStructure.

Referenced by TMLPAnalyzer::CheckNetwork(), TMLPAnalyzer::GetLayers(), TMLPAnalyzer::GetNeuronFormula(), and TMLPAnalyzer::GetNeurons().

TNeuron::ENeuronType TMultiLayerPerceptron::GetType (  )  const [inline]

Definition at line 115 of file TMultiLayerPerceptron.h.

References fType.

Referenced by Export().

void TMultiLayerPerceptron::DrawResult ( Int_t  index = 0,
Option_t *  option = "test" 
) const

Definition at line 1436 of file TMultiLayerPerceptron.cxx.

References TObjArray::At(), TString::Contains(), TString::Data(), TObject::Error(), fData, fLastLayer, Form(), fTest, fTraining, gDirectory, TDirectory::Get(), GetEntry(), TEventList::GetEntry(), TEventList::GetN(), hist, i, nEvents, norm(), out, Result(), title, and TString::ToLower().

void TMultiLayerPerceptron::DumpWeights ( Option_t *  filename = "-"  )  const

Definition at line 1515 of file TMultiLayerPerceptron.cxx.

References TString::Data(), fFirstLayer, fLastLayer, fNetwork, fSynapses, TObjArray::GetEntriesFast(), TSynapse::GetWeight(), j, TObjArray::MakeIterator(), nentries, TObjArrayIter::Next(), output(), and TObjArray::UncheckedAt().

Referenced by TMVA::MethodTMlpANN::AddWeightsXMLTo().

void TMultiLayerPerceptron::LoadWeights ( Option_t *  filename = ""  ) 

Definition at line 1561 of file TMultiLayerPerceptron.cxx.

References TString::Data(), fFirstLayer, fLastLayer, fNetwork, fSynapses, TObjArray::MakeIterator(), TObjArrayIter::Next(), TNeuron::SetNormalisation(), TNeuron::SetWeight(), TSynapse::SetWeight(), and w.

Referenced by TMVA::MethodTMlpANN::ReadWeightsFromStream(), and TMVA::MethodTMlpANN::ReadWeightsFromXML().

Double_t TMultiLayerPerceptron::Evaluate ( Int_t  index,
Double_t *  params 
) const

Definition at line 1613 of file TMultiLayerPerceptron.cxx.

References TObjArray::At(), fFirstLayer, fLastLayer, fNetwork, TNeuron::ForceExternalValue(), i, TObjArray::MakeIterator(), TObjArrayIter::Next(), out, and TNeuron::SetNewEvent().

Referenced by TMLPAnalyzer::GatherInformations(), TMVA::MethodTMlpANN::GetMvaValue(), mlpHiggs(), and mlpRegression().

void TMultiLayerPerceptron::Export ( Option_t *  filename = "NNfunction",
Option_t *  language = "C++" 
) const

Definition at line 1636 of file TMultiLayerPerceptron.cxx.

References classname, TString::Data(), fFirstLayer, fLastLayer, fNetwork, fSynapses, TObjArray::GetEntriesFast(), TNeuron::GetInLayer(), TNeuron::GetNormalisation(), TSynapse::GetPre(), TNeuron::GetPre(), TNeuron::GetType(), GetType(), TNeuron::GetWeight(), TSynapse::GetWeight(), i, TNeuron::kExternal, TNeuron::kGauss, TNeuron::kLinear, TNeuron::kSigmoid, TNeuron::kSoftmax, TNeuron::kTanh, TString::Last(), TString::Length(), TObjArray::MakeIterator(), n, TObjArrayIter::Next(), TString::ToUpper(), and TObject::Warning().

Referenced by TMVA::MethodTMlpANN::MakeClass(), and mlpHiggs().

void TMultiLayerPerceptron::Draw ( Option_t *  option = ""  )  [virtual]

Reimplemented from TObject.

Definition at line 2416 of file TMultiLayerPerceptron.cxx.

References TMath::Abs(), TObjArray::At(), xmlio::cnt, TString::CountChar(), TCollection::Draw(), TObject::Draw(), TString::First(), fLastLayer, fStructure, fSynapses, TObjArray::GetEntriesFast(), TObjArray::GetLast(), TSynapse::GetWeight(), TString::Index(), TString::Last(), TString::Length(), m, TObjArray::MakeIterator(), NeuronSize, TObjArrayIter::Next(), num, and output().

Referenced by mlpHiggs().

void TMultiLayerPerceptron::AttachData (  )  [protected]

Definition at line 1183 of file TMultiLayerPerceptron.cxx.

References TTreeFormulaManager::Add(), TObjArray::At(), TString::Data(), fData, fEventWeight, fFirstLayer, TString::First(), fLastLayer, fManager, fStructure, fWeight, TObjArray::GetEntriesFast(), TObjArray::GetLast(), j, TString::Last(), TString::Length(), nentries, output(), R__ASSERT, TNeuron::SetNormalisation(), TObjArray::UncheckedAt(), and TNeuron::UseBranch().

Referenced by SetData(), and TMultiLayerPerceptron().

void TMultiLayerPerceptron::BuildNetwork (  )  [protected]

Definition at line 1282 of file TMultiLayerPerceptron.cxx.

References BuildFirstLayer(), BuildHiddenLayers(), BuildLastLayer(), TObject::Error(), ExpandStructure(), TString::First(), fStructure, TString::Last(), TString::Length(), and output().

Referenced by SetData(), and TMultiLayerPerceptron().

void TMultiLayerPerceptron::GetEntry ( Int_t   )  const [protected]

Definition at line 692 of file TMultiLayerPerceptron.cxx.

References fCurrentTree, fData, fManager, fNetwork, TObjArray::GetEntriesFast(), TTree::GetEntry(), TTree::GetTreeNumber(), TTree::GetWeight(), i, nentries, TTreeFormulaManager::Notify(), and TObjArray::UncheckedAt().

Referenced by ComputeDEDw(), DrawResult(), TMLPAnalyzer::GatherInformations(), GetError(), MLP_Stochastic(), and Result().

void TMultiLayerPerceptron::MLP_Stochastic ( Double_t *   )  [protected]

Definition at line 2055 of file TMultiLayerPerceptron.cxx.

References xmlio::cnt, fDelta, fEpsilon, fEta, fEtaDecay, fFirstLayer, fNetwork, fSynapses, fTraining, TNeuron::GetDeDw(), TSynapse::GetDeDw(), TObjArray::GetEntriesFast(), GetEntry(), TEventList::GetEntry(), TEventList::GetN(), TNeuron::GetWeight(), TSynapse::GetWeight(), i, j, nentries, nEvents, TNeuron::SetWeight(), TSynapse::SetWeight(), Shuffle(), and TObjArray::UncheckedAt().

Referenced by Train().

void TMultiLayerPerceptron::MLP_Batch ( Double_t *   )  [protected]

Definition at line 2100 of file TMultiLayerPerceptron.cxx.

References xmlio::cnt, fDelta, fEpsilon, fEta, fEtaDecay, fNetwork, fSynapses, TSynapse::GetDEDw(), TNeuron::GetDEDw(), TNeuron::GetWeight(), TSynapse::GetWeight(), TObjArray::MakeIterator(), TObjArrayIter::Next(), TSynapse::SetWeight(), and TNeuron::SetWeight().

Referenced by Train().

bool TMultiLayerPerceptron::LineSearch ( Double_t *  ,
Double_t *   
) [protected]

Definition at line 2168 of file TMultiLayerPerceptron.cxx.

References fLastAlpha, fNetwork, fSynapses, fTau, TObjArray::GetEntriesFast(), GetError(), TNeuron::GetWeight(), TSynapse::GetWeight(), j, kTraining, MLP_Line(), nentries, and TObjArray::UncheckedAt().

Referenced by Train().

void TMultiLayerPerceptron::SteepestDir ( Double_t *   )  [protected]

Definition at line 2151 of file TMultiLayerPerceptron.cxx.

References fNetwork, fSynapses, TSynapse::GetDEDw(), TNeuron::GetDEDw(), TObjArray::MakeIterator(), and TObjArrayIter::Next().

Referenced by Train().

void TMultiLayerPerceptron::ConjugateGradientsDir ( Double_t *  ,
Double_t   
) [protected]

Definition at line 2271 of file TMultiLayerPerceptron.cxx.

References fNetwork, fSynapses, TSynapse::GetDEDw(), TNeuron::GetDEDw(), TObjArray::GetEntriesFast(), j, nentries, and TObjArray::UncheckedAt().

Referenced by Train().

void TMultiLayerPerceptron::SetGammaDelta ( TMatrixD &  ,
TMatrixD &  ,
Double_t *   
) [protected]

Definition at line 2324 of file TMultiLayerPerceptron.cxx.

References ComputeDEDw(), fNetwork, fSynapses, ROOT::Math::Cephes::gamma(), TSynapse::GetDEDw(), TNeuron::GetDEDw(), TObjArray::GetEntriesFast(), i, j, nentries, and TObjArray::UncheckedAt().

Referenced by Train().

bool TMultiLayerPerceptron::GetBFGSH ( TMatrixD &  ,
TMatrixD &  ,
TMatrixD &   
) [protected]

Definition at line 2297 of file TMultiLayerPerceptron.cxx.

References a, ROOT::Math::Cephes::gamma(), TMatrixT< Element >::kMult, TMatrixT< Element >::kTransposed, and TMatrixT< Element >::kTransposeMult.

Referenced by Train().

void TMultiLayerPerceptron::BFGSDir ( TMatrixD &  ,
Double_t *   
) [protected]

Definition at line 2388 of file TMultiLayerPerceptron.cxx.

References fNetwork, fSynapses, TSynapse::GetDEDw(), TNeuron::GetDEDw(), TObjArray::GetEntriesFast(), i, j, TMatrixT< Element >::kMult, nentries, and TObjArray::UncheckedAt().

Referenced by Train().

Double_t TMultiLayerPerceptron::DerivDir ( Double_t *   )  [protected]

Definition at line 2364 of file TMultiLayerPerceptron.cxx.

References fNetwork, fSynapses, TSynapse::GetDEDw(), TNeuron::GetDEDw(), TObjArray::GetEntriesFast(), j, nentries, output(), and TObjArray::UncheckedAt().

Referenced by Train().

Double_t TMultiLayerPerceptron::GetCrossEntropyBinary (  )  const [protected]

Definition at line 1037 of file TMultiLayerPerceptron.cxx.

References error, fLastLayer, TObjArray::GetEntriesFast(), i, TMath::Log(), and output().

Referenced by GetError().

Double_t TMultiLayerPerceptron::GetCrossEntropy (  )  const [protected]

Definition at line 1067 of file TMultiLayerPerceptron.cxx.

References error, fLastLayer, TObjArray::GetEntriesFast(), i, TMath::Log(), and output().

Referenced by GetError().

Double_t TMultiLayerPerceptron::GetSumSquareError (  )  const [protected]

Definition at line 1025 of file TMultiLayerPerceptron.cxx.

References error, fLastLayer, TObjArray::GetEntriesFast(), and i.

Referenced by GetError().

TMultiLayerPerceptron& TMultiLayerPerceptron::operator= ( const TMultiLayerPerceptron &   )  [private]

void TMultiLayerPerceptron::ExpandStructure (  )  [private]

Definition at line 1236 of file TMultiLayerPerceptron.cxx.

References TObjArray::At(), fData, TString::First(), fStructure, TObjArray::GetLast(), i, j, TString::Length(), name, and TObject::Warning().

Referenced by BuildNetwork().

void TMultiLayerPerceptron::BuildFirstLayer ( TString &   )  [private]

Definition at line 1310 of file TMultiLayerPerceptron.cxx.

References TObjArray::AddLast(), TObjArray::At(), fFirstLayer, fNetwork, TObjArray::GetLast(), i, TNeuron::kOff, and name.

Referenced by BuildNetwork().

void TMultiLayerPerceptron::BuildHiddenLayers ( TString &   )  [private]

Definition at line 1330 of file TMultiLayerPerceptron.cxx.

References BuildOneHiddenLayer(), fNetwork, TObjArray::GetEntriesFast(), TString::Index(), and TString::Length().

Referenced by BuildNetwork().

void TMultiLayerPerceptron::BuildOneHiddenLayer ( const TString &  sNumNodes,
Int_t &  layer,
Int_t &  prevStart,
Int_t &  prevStop,
Bool_t  lastLayer 
) [private]

Definition at line 1348 of file TMultiLayerPerceptron.cxx.

References TNeuron::AddInLayer(), TObjArray::AddLast(), TString::Data(), TObject::Error(), fextD, fextF, fNetwork, fSynapses, fType, TObjArray::GetEntriesFast(), i, TString::IsAlnum(), TString::IsAlpha(), j, name, and num.

Referenced by BuildHiddenLayers().

void TMultiLayerPerceptron::BuildLastLayer ( TString &  ,
Int_t   
) [private]

Definition at line 1389 of file TMultiLayerPerceptron.cxx.

References TNeuron::AddInLayer(), TObjArray::AddLast(), TString::EndsWith(), fLastLayer, fNetwork, fOutType, fStructure, fSynapses, TObjArray::GetEntriesFast(), i, j, kNPOS, TNeuron::kSigmoid, TNeuron::kSoftmax, TString::Length(), name, and output().

Referenced by BuildNetwork().

void TMultiLayerPerceptron::Shuffle ( Int_t *  ,
Int_t   
) const [private]

Definition at line 2031 of file TMultiLayerPerceptron.cxx.

References a, i, j, k, rnd, TRandom::Rndm(), and ts.

Referenced by MLP_Stochastic().

void TMultiLayerPerceptron::MLP_Line ( Double_t *  ,
Double_t *  ,
Double_t   
) [private]

Definition at line 2128 of file TMultiLayerPerceptron.cxx.

References fNetwork, fSynapses, TObjArray::MakeIterator(), TObjArrayIter::Next(), TNeuron::SetWeight(), and TSynapse::SetWeight().

Referenced by LineSearch().

void TMultiLayerPerceptron::SetData ( TTree *   ) 

void TMultiLayerPerceptron::SetTrainingDataSet ( TEventList *  train  ) 

void TMultiLayerPerceptron::SetTestDataSet ( TEventList *  test  ) 

void TMultiLayerPerceptron::SetTrainingDataSet ( const char *  train  ) 

void TMultiLayerPerceptron::SetTestDataSet ( const char *  test  ) 

void TMultiLayerPerceptron::SetLearningMethod ( TMultiLayerPerceptron::ELearningMethod  method  ) 

void TMultiLayerPerceptron::SetEventWeight ( const char *   ) 

void TMultiLayerPerceptron::Train ( Int_t  nEpoch,
Option_t *  option = "text",
Double_t  minE = 0 
)

Double_t TMultiLayerPerceptron::Result ( Int_t  event,
Int_t  index = 0 
) const

Double_t TMultiLayerPerceptron::GetError ( Int_t  event  )  const

Double_t TMultiLayerPerceptron::GetError ( TMultiLayerPerceptron::EDataSet  set  )  const

void TMultiLayerPerceptron::ComputeDEDw (  )  const

void TMultiLayerPerceptron::Randomize (  )  const

void TMultiLayerPerceptron::SetEta ( Double_t  eta  ) 

void TMultiLayerPerceptron::SetEpsilon ( Double_t  eps  ) 

void TMultiLayerPerceptron::SetDelta ( Double_t  delta  ) 

void TMultiLayerPerceptron::SetEtaDecay ( Double_t  ed  ) 

void TMultiLayerPerceptron::SetTau ( Double_t  tau  ) 

void TMultiLayerPerceptron::SetReset ( Int_t  reset  ) 

Double_t TMultiLayerPerceptron::GetEta (  )  const [inline]

Definition at line 108 of file TMultiLayerPerceptron.h.

References fEta.

Double_t TMultiLayerPerceptron::GetEpsilon (  )  const [inline]

Definition at line 109 of file TMultiLayerPerceptron.h.

References fEpsilon.

Double_t TMultiLayerPerceptron::GetDelta (  )  const [inline]

Definition at line 110 of file TMultiLayerPerceptron.h.

References fDelta.

Double_t TMultiLayerPerceptron::GetEtaDecay (  )  const [inline]

Definition at line 111 of file TMultiLayerPerceptron.h.

References fEtaDecay.

Double_t TMultiLayerPerceptron::GetTau ( void   )  const [inline]

Definition at line 112 of file TMultiLayerPerceptron.h.

References fTau.

Int_t TMultiLayerPerceptron::GetReset (  )  const [inline]

Definition at line 113 of file TMultiLayerPerceptron.h.

References fReset.

TString TMultiLayerPerceptron::GetStructure (  )  const [inline]

Definition at line 114 of file TMultiLayerPerceptron.h.

References fStructure.

TNeuron::ENeuronType TMultiLayerPerceptron::GetType (  )  const [inline]

Definition at line 115 of file TMultiLayerPerceptron.h.

References fType.

void TMultiLayerPerceptron::DrawResult ( Int_t  index = 0,
Option_t *  option = "test" 
) const

void TMultiLayerPerceptron::DumpWeights ( Option_t *  filename = "-"  )  const

void TMultiLayerPerceptron::LoadWeights ( Option_t *  filename = ""  ) 

Double_t TMultiLayerPerceptron::Evaluate ( Int_t  index,
Double_t *  params 
) const

void TMultiLayerPerceptron::Export ( Option_t *  filename = "NNfunction",
Option_t *  language = "C++" 
) const

virtual void TMultiLayerPerceptron::Draw ( Option_t *  option = ""  )  [virtual]

Reimplemented from TObject.

void TMultiLayerPerceptron::AttachData (  )  [protected]

void TMultiLayerPerceptron::BuildNetwork (  )  [protected]

void TMultiLayerPerceptron::GetEntry ( Int_t   )  const [protected]

void TMultiLayerPerceptron::MLP_Stochastic ( Double_t *   )  [protected]

void TMultiLayerPerceptron::MLP_Batch ( Double_t *   )  [protected]

Bool_t TMultiLayerPerceptron::LineSearch ( Double_t *  ,
Double_t *   
) [protected]

void TMultiLayerPerceptron::SteepestDir ( Double_t *   )  [protected]

void TMultiLayerPerceptron::ConjugateGradientsDir ( Double_t *  ,
Double_t   
) [protected]

void TMultiLayerPerceptron::SetGammaDelta ( TMatrixD &  ,
TMatrixD &  ,
Double_t *   
) [protected]

bool TMultiLayerPerceptron::GetBFGSH ( TMatrixD &  ,
TMatrixD &  ,
TMatrixD &   
) [protected]

void TMultiLayerPerceptron::BFGSDir ( TMatrixD &  ,
Double_t *   
) [protected]

Double_t TMultiLayerPerceptron::DerivDir ( Double_t *   )  [protected]

Double_t TMultiLayerPerceptron::GetCrossEntropyBinary (  )  const [protected]

Double_t TMultiLayerPerceptron::GetCrossEntropy (  )  const [protected]

Double_t TMultiLayerPerceptron::GetSumSquareError (  )  const [protected]

TMultiLayerPerceptron& TMultiLayerPerceptron::operator= ( const TMultiLayerPerceptron &   )  [private]

void TMultiLayerPerceptron::ExpandStructure (  )  [private]

void TMultiLayerPerceptron::BuildFirstLayer ( TString &   )  [private]

void TMultiLayerPerceptron::BuildHiddenLayers ( TString &   )  [private]

void TMultiLayerPerceptron::BuildOneHiddenLayer ( const TString &  sNumNodes,
Int_t &  layer,
Int_t &  prevStart,
Int_t &  prevStop,
Bool_t  lastLayer 
) [private]

void TMultiLayerPerceptron::BuildLastLayer ( TString &  ,
Int_t   
) [private]

void TMultiLayerPerceptron::Shuffle ( Int_t *  ,
Int_t   
) const [private]

void TMultiLayerPerceptron::MLP_Line ( Double_t *  ,
Double_t *  ,
Double_t   
) [private]

Friends And Related Function Documentation

TMLPAnalyzer [friend]

Definition at line 59 of file TMultiLayerPerceptron.h.

Member Data Documentation

TTree* TMultiLayerPerceptron::fData [private]

Definition at line 154 of file TMultiLayerPerceptron.h.

Referenced by AttachData(), ComputeDEDw(), TMLPAnalyzer::DrawNetwork(), DrawResult(), ExpandStructure(), TMLPAnalyzer::GatherInformations(), GetEntry(), GetError(), SetData(), SetEventWeight(), SetTestDataSet(), SetTrainingDataSet(), TMultiLayerPerceptron(), and Train().

Int_t TMultiLayerPerceptron::fCurrentTree [private]

pointer to the tree used as datasource

Definition at line 155 of file TMultiLayerPerceptron.h.

Referenced by GetEntry(), and TMultiLayerPerceptron().

Double_t TMultiLayerPerceptron::fCurrentTreeWeight [private]

index of the current tree in a chain

Definition at line 156 of file TMultiLayerPerceptron.h.

Referenced by ComputeDEDw(), GetError(), and TMultiLayerPerceptron().

TObjArray TMultiLayerPerceptron::fNetwork [private]

weight of the current tree in a chain

Definition at line 157 of file TMultiLayerPerceptron.h.

Referenced by BFGSDir(), BuildFirstLayer(), BuildHiddenLayers(), BuildLastLayer(), BuildOneHiddenLayer(), ComputeDEDw(), ConjugateGradientsDir(), DerivDir(), DumpWeights(), Evaluate(), Export(), GetEntry(), LineSearch(), LoadWeights(), MLP_Batch(), MLP_Line(), MLP_Stochastic(), Randomize(), SetGammaDelta(), SteepestDir(), TMultiLayerPerceptron(), and Train().

TObjArray TMultiLayerPerceptron::fFirstLayer [private]

Definition at line 158 of file TMultiLayerPerceptron.h.

Referenced by AttachData(), BuildFirstLayer(), DumpWeights(), Evaluate(), Export(), TMLPAnalyzer::GetInputNeuronTitle(), LoadWeights(), MLP_Stochastic(), and TMultiLayerPerceptron().

TObjArray TMultiLayerPerceptron::fLastLayer [private]

Definition at line 159 of file TMultiLayerPerceptron.h.

Referenced by AttachData(), BuildLastLayer(), Draw(), DrawResult(), DumpWeights(), Evaluate(), Export(), TMLPAnalyzer::GatherInformations(), GetCrossEntropy(), GetCrossEntropyBinary(), GetError(), TMLPAnalyzer::GetOutputNeuronTitle(), GetSumSquareError(), LoadWeights(), Result(), and TMultiLayerPerceptron().

TObjArray TMultiLayerPerceptron::fSynapses [private]

Definition at line 160 of file TMultiLayerPerceptron.h.

Referenced by BFGSDir(), BuildLastLayer(), BuildOneHiddenLayer(), ComputeDEDw(), ConjugateGradientsDir(), DerivDir(), Draw(), DumpWeights(), Export(), LineSearch(), LoadWeights(), MLP_Batch(), MLP_Line(), MLP_Stochastic(), Randomize(), SetGammaDelta(), SteepestDir(), TMultiLayerPerceptron(), and Train().

TString TMultiLayerPerceptron::fStructure [private]

Definition at line 161 of file TMultiLayerPerceptron.h.

Referenced by AttachData(), BuildLastLayer(), BuildNetwork(), Draw(), ExpandStructure(), GetStructure(), and TMultiLayerPerceptron().

TString TMultiLayerPerceptron::fWeight [private]

Definition at line 162 of file TMultiLayerPerceptron.h.

Referenced by AttachData(), SetEventWeight(), and TMultiLayerPerceptron().

TNeuron::ENeuronType TMultiLayerPerceptron::fType [private]

Definition at line 163 of file TMultiLayerPerceptron.h.

Referenced by BuildOneHiddenLayer(), GetType(), and TMultiLayerPerceptron().

TNeuron::ENeuronType TMultiLayerPerceptron::fOutType [private]

Definition at line 164 of file TMultiLayerPerceptron.h.

Referenced by BuildLastLayer(), GetError(), and TMultiLayerPerceptron().

TString TMultiLayerPerceptron::fextF [private]

Definition at line 165 of file TMultiLayerPerceptron.h.

Referenced by BuildOneHiddenLayer(), and TMultiLayerPerceptron().

TString TMultiLayerPerceptron::fextD [private]

Definition at line 166 of file TMultiLayerPerceptron.h.

Referenced by BuildOneHiddenLayer(), and TMultiLayerPerceptron().

TEventList* TMultiLayerPerceptron::fTraining [private]

Definition at line 167 of file TMultiLayerPerceptron.h.

Referenced by ComputeDEDw(), DrawResult(), GetError(), MLP_Stochastic(), SetTrainingDataSet(), TMultiLayerPerceptron(), Train(), and ~TMultiLayerPerceptron().

TEventList* TMultiLayerPerceptron::fTest [private]

EventList defining the events in the training dataset.

Definition at line 168 of file TMultiLayerPerceptron.h.

Referenced by TMLPAnalyzer::DrawNetwork(), DrawResult(), TMLPAnalyzer::GatherInformations(), GetError(), SetTestDataSet(), TMultiLayerPerceptron(), Train(), and ~TMultiLayerPerceptron().

ELearningMethod TMultiLayerPerceptron::fLearningMethod [private]

EventList defining the events in the test dataset.

Definition at line 169 of file TMultiLayerPerceptron.h.

Referenced by SetLearningMethod(), TMultiLayerPerceptron(), and Train().

TTreeFormula* TMultiLayerPerceptron::fEventWeight [private]

The Learning Method.

Definition at line 170 of file TMultiLayerPerceptron.h.

Referenced by AttachData(), ComputeDEDw(), GetError(), SetEventWeight(), and TMultiLayerPerceptron().

TTreeFormulaManager* TMultiLayerPerceptron::fManager [private]

formula representing the event weight

Definition at line 171 of file TMultiLayerPerceptron.h.

Referenced by AttachData(), GetEntry(), SetEventWeight(), and TMultiLayerPerceptron().

Double_t TMultiLayerPerceptron::fEta [private]

TTreeFormulaManager for the weight and neurons.

Definition at line 172 of file TMultiLayerPerceptron.h.

Referenced by GetEta(), MLP_Batch(), MLP_Stochastic(), SetEta(), and TMultiLayerPerceptron().

Double_t TMultiLayerPerceptron::fEpsilon [private]

Eta - used in stochastic minimisation - Default=0.1.

Definition at line 173 of file TMultiLayerPerceptron.h.

Referenced by GetEpsilon(), MLP_Batch(), MLP_Stochastic(), SetEpsilon(), and TMultiLayerPerceptron().

Double_t TMultiLayerPerceptron::fDelta [private]

Epsilon - used in stochastic minimisation - Default=0.

Definition at line 174 of file TMultiLayerPerceptron.h.

Referenced by GetDelta(), MLP_Batch(), MLP_Stochastic(), SetDelta(), and TMultiLayerPerceptron().

Double_t TMultiLayerPerceptron::fEtaDecay [private]

Delta - used in stochastic minimisation - Default=0.

Definition at line 175 of file TMultiLayerPerceptron.h.

Referenced by GetEtaDecay(), MLP_Batch(), MLP_Stochastic(), SetEtaDecay(), and TMultiLayerPerceptron().

Double_t TMultiLayerPerceptron::fTau [private]

EtaDecay - Eta *= EtaDecay at each epoch - Default=1.

Definition at line 176 of file TMultiLayerPerceptron.h.

Referenced by GetTau(), LineSearch(), SetTau(), and TMultiLayerPerceptron().

Double_t TMultiLayerPerceptron::fLastAlpha [private]

Tau - used in line search - Default=3.

Definition at line 177 of file TMultiLayerPerceptron.h.

Referenced by LineSearch(), TMultiLayerPerceptron(), and Train().

Int_t TMultiLayerPerceptron::fReset [private]

internal parameter used in line search

Definition at line 178 of file TMultiLayerPerceptron.h.

Referenced by GetReset(), SetReset(), TMultiLayerPerceptron(), and Train().

Bool_t TMultiLayerPerceptron::fTrainingOwner [private]

number of epochs between two resets of the search direction to the steepest descent - Default=50

Definition at line 179 of file TMultiLayerPerceptron.h.

Referenced by SetTrainingDataSet(), TMultiLayerPerceptron(), and ~TMultiLayerPerceptron().

Bool_t TMultiLayerPerceptron::fTestOwner [private]

internal flag whether one has to delete fTraining or not

Definition at line 180 of file TMultiLayerPerceptron.h.

Referenced by SetTestDataSet(), TMultiLayerPerceptron(), and ~TMultiLayerPerceptron().

TTree* TMultiLayerPerceptron::fData [private]

Definition at line 154 of file TMultiLayerPerceptron.h.

TEventList* TMultiLayerPerceptron::fTraining [private]

Definition at line 167 of file TMultiLayerPerceptron.h.

TEventList* TMultiLayerPerceptron::fTest [private]

EventList defining the events in the training dataset.

Definition at line 168 of file TMultiLayerPerceptron.h.

TTreeFormula* TMultiLayerPerceptron::fEventWeight [private]

The Learning Method.

Definition at line 170 of file TMultiLayerPerceptron.h.

TTreeFormulaManager* TMultiLayerPerceptron::fManager [private]

formula representing the event weight

Definition at line 171 of file TMultiLayerPerceptron.h.

The documentation for this class was generated from the following files:
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