// Class: ReadGhost_Upstream_TMVA
// Automatically generated by MethodBase::MakeClass
//

/* configuration options =====================================================

#GEN -*-*-*-*-*-*-*-*-*-*-*- general info -*-*-*-*-*-*-*-*-*-*-*-

Method         : MLP::Ghost_Upstream_TMVA
TMVA Release   : 4.1.4         [262404]
ROOT Release   : 5.34/05       [336389]
Creator        : jonrob
Date           : Wed Apr 10 09:58:51 2013
Host           : Linux lxbuild175.cern.ch 2.6.18-308.4.1.el5 #1 SMP Wed Apr 18 16:26:27 CEST 2012 x86_64 x86_64 x86_64 GNU/Linux
Dir            : /afs/cern.ch/work/j/jonrob/www/ANNPID/MC12/TrainAllTks-EvalAllTks-ReweightRICH2/TMVA-NoPreSels-NoGECs/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/Ghost/Upstream
Training events: 1000000
Analysis type  : [Classification]


#OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*-

# Set by User:
NCycles: "750" [Number of training cycles]
HiddenLayers: "30" [Specification of hidden layer architecture]
NeuronType: "tanh" [Neuron activation function type]
EstimatorType: "CE" [MSE (Mean Square Estimator) for Gaussian Likelihood or CE(Cross-Entropy) for Bernoulli Likelihood]
V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
VarTransform: "Norm" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
H: "True" [Print method-specific help message]
TrainingMethod: "BP" [Train with Back-Propagation (BP), BFGS Algorithm (BFGS), or Genetic Algorithm (GA - slower and worse)]
EpochMonitoring: "True" [Provide epoch-wise monitoring plots according to TestRate (caution: causes big ROOT output file!)]
# Default:
RandomSeed: "1" [Random seed for initial synapse weights (0 means unique seed for each run; default value '1')]
NeuronInputType: "sum" [Neuron input function type]
VerbosityLevel: "Verbose" [Verbosity level]
CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
LearningRate: "2.000000e-02" [ANN learning rate parameter]
DecayRate: "1.000000e-02" [Decay rate for learning parameter]
TestRate: "10" [Test for overtraining performed at each #th epochs]
Sampling: "1.000000e+00" [Only 'Sampling' (randomly selected) events are trained each epoch]
SamplingEpoch: "1.000000e+00" [Sampling is used for the first 'SamplingEpoch' epochs, afterwards, all events are taken for training]
SamplingImportance: "1.000000e+00" [ The sampling weights of events in epochs which successful (worse estimator than before) are multiplied with SamplingImportance, else they are divided.]
SamplingTraining: "True" [The training sample is sampled]
SamplingTesting: "False" [The testing sample is sampled]
ResetStep: "50" [How often BFGS should reset history]
Tau: "3.000000e+00" [LineSearch "size step"]
BPMode: "sequential" [Back-propagation learning mode: sequential or batch]
BatchSize: "-1" [Batch size: number of events/batch, only set if in Batch Mode, -1 for BatchSize=number_of_events]
ConvergenceImprove: "1.000000e-30" [Minimum improvement which counts as improvement (<0 means automatic convergence check is turned off)]
ConvergenceTests: "-1" [Number of steps (without improvement) required for convergence (<0 means automatic convergence check is turned off)]
UseRegulator: "False" [Use regulator to avoid over-training]
UpdateLimit: "10000" [Maximum times of regulator update]
CalculateErrors: "False" [Calculates inverse Hessian matrix at the end of the training to be able to calculate the uncertainties of an MVA value]
WeightRange: "1.000000e+00" [Take the events for the estimator calculations from small deviations from the desired value to large deviations only over the weight range]
##


#VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*-

NVar 22
TrackP                        TrackP                        TrackP                        TrackP                                                          'F'    [172.490005493,4970293.5]
TrackPt                       TrackPt                       TrackPt                       TrackPt                                                         'F'    [0.832938909531,995273.875]
TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof                                                 'F'    [0.00302399252541,2.999573946]
TrackNumDof                   TrackNumDof                   TrackNumDof                   TrackNumDof                                                     'I'    [4,28]
TrackLikelihood               TrackLikelihood               TrackLikelihood               TrackLikelihood                                                 'F'    [-99.6241531372,-0.319228202105]
TrackGhostProbability         TrackGhostProbability         TrackGhostProbability         TrackGhostProbability                                           'F'    [0.0317582078278,1]
TrackCloneDist                TrackCloneDist                TrackCloneDist                TrackCloneDist                                                  'F'    [-999,4999.73632812]
TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2                                                'F'    [2.50487555604e-05,51.0802001953]
TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF                                                'I'    [1,24]
RichUsedAero                  RichUsedAero                  RichUsedAero                  RichUsedAero                                                    'I'    [0,1]
RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                                                   'I'    [0,1]
RichAbovePiThres              RichAbovePiThres              RichAbovePiThres              RichAbovePiThres                                                'I'    [0,1]
RichAboveKaThres              RichAboveKaThres              RichAboveKaThres              RichAboveKaThres                                                'I'    [0,1]
RichAbovePrThres              RichAbovePrThres              RichAbovePrThres              RichAbovePrThres                                                'I'    [0,1]
RichDLLe                      RichDLLe                      RichDLLe                      RichDLLe                                                        'F'    [-999,107.511299133]
RichDLLmu                     RichDLLmu                     RichDLLmu                     RichDLLmu                                                       'F'    [-999,69.573600769]
RichDLLk                      RichDLLk                      RichDLLk                      RichDLLk                                                        'F'    [-999,99.5278015137]
RichDLLp                      RichDLLp                      RichDLLp                      RichDLLp                                                        'F'    [-999,62.6166000366]
RichDLLbt                     RichDLLbt                     RichDLLbt                     RichDLLbt                                                       'F'    [-999,47.8530006409]
InAccBrem                     InAccBrem                     InAccBrem                     InAccBrem                                                       'I'    [0,1]
BremPIDe                      BremPIDe                      BremPIDe                      BremPIDe                                                        'F'    [-999,4.79148387909]
VeloCharge                    VeloCharge                    VeloCharge                    VeloCharge                                                      'F'    [0.486891388893,5.4943819046]
NSpec 0


============================================================================ */

#include <vector>
#include <cmath>
#include <string>
#include <iostream>

#ifndef IClassifierReader__def
#define IClassifierReader__def

class IClassifierReader {

 public:

   // constructor
   IClassifierReader() : fStatusIsClean( true ) {}
   virtual ~IClassifierReader() {}

   // return classifier response
   virtual double GetMvaValue( const std::vector<double>& inputValues ) const = 0;

   // returns classifier status
   bool IsStatusClean() const { return fStatusIsClean; }

 protected:

   bool fStatusIsClean;
};

#endif

class ReadGhost_Upstream_TMVA : public IClassifierReader {

 public:

   // constructor
   ReadGhost_Upstream_TMVA( std::vector<std::string>& theInputVars ) 
      : IClassifierReader(),
        fClassName( "ReadGhost_Upstream_TMVA" ),
        fNvars( 22 ),
        fIsNormalised( false )
   {      
      // the training input variables
      const char* inputVars[] = { "TrackP", "TrackPt", "TrackChi2PerDof", "TrackNumDof", "TrackLikelihood", "TrackGhostProbability", "TrackCloneDist", "TrackFitVeloChi2", "TrackFitVeloNDoF", "RichUsedAero", "RichUsedR1Gas", "RichAbovePiThres", "RichAboveKaThres", "RichAbovePrThres", "RichDLLe", "RichDLLmu", "RichDLLk", "RichDLLp", "RichDLLbt", "InAccBrem", "BremPIDe", "VeloCharge" };

      // sanity checks
      if (theInputVars.size() <= 0) {
         std::cout << "Problem in class \"" << fClassName << "\": empty input vector" << std::endl;
         fStatusIsClean = false;
      }

      if (theInputVars.size() != fNvars) {
         std::cout << "Problem in class \"" << fClassName << "\": mismatch in number of input values: "
                   << theInputVars.size() << " != " << fNvars << std::endl;
         fStatusIsClean = false;
      }

      // validate input variables
      for (size_t ivar = 0; ivar < theInputVars.size(); ivar++) {
         if (theInputVars[ivar] != inputVars[ivar]) {
            std::cout << "Problem in class \"" << fClassName << "\": mismatch in input variable names" << std::endl
                      << " for variable [" << ivar << "]: " << theInputVars[ivar].c_str() << " != " << inputVars[ivar] << std::endl;
            fStatusIsClean = false;
         }
      }

      // initialize min and max vectors (for normalisation)
      fVmin[0] = -1;
      fVmax[0] = 1;
      fVmin[1] = -1;
      fVmax[1] = 1;
      fVmin[2] = -1;
      fVmax[2] = 1;
      fVmin[3] = -1;
      fVmax[3] = 1;
      fVmin[4] = -1;
      fVmax[4] = 1;
      fVmin[5] = -1;
      fVmax[5] = 1;
      fVmin[6] = -1;
      fVmax[6] = 1;
      fVmin[7] = -1;
      fVmax[7] = 1;
      fVmin[8] = -1;
      fVmax[8] = 1;
      fVmin[9] = -1;
      fVmax[9] = 1;
      fVmin[10] = -1;
      fVmax[10] = 1;
      fVmin[11] = -1;
      fVmax[11] = 1;
      fVmin[12] = -1;
      fVmax[12] = 1;
      fVmin[13] = -1;
      fVmax[13] = 1;
      fVmin[14] = -1;
      fVmax[14] = 1;
      fVmin[15] = -1;
      fVmax[15] = 1;
      fVmin[16] = -1;
      fVmax[16] = 1;
      fVmin[17] = -1;
      fVmax[17] = 1;
      fVmin[18] = -1;
      fVmax[18] = 1;
      fVmin[19] = -1;
      fVmax[19] = 1;
      fVmin[20] = -1;
      fVmax[20] = 1;
      fVmin[21] = -1;
      fVmax[21] = 1;

      // initialize input variable types
      fType[0] = 'F';
      fType[1] = 'F';
      fType[2] = 'F';
      fType[3] = 'I';
      fType[4] = 'F';
      fType[5] = 'F';
      fType[6] = 'F';
      fType[7] = 'F';
      fType[8] = 'I';
      fType[9] = 'I';
      fType[10] = 'I';
      fType[11] = 'I';
      fType[12] = 'I';
      fType[13] = 'I';
      fType[14] = 'F';
      fType[15] = 'F';
      fType[16] = 'F';
      fType[17] = 'F';
      fType[18] = 'F';
      fType[19] = 'I';
      fType[20] = 'F';
      fType[21] = 'F';

      // initialize constants
      Initialize();

      // initialize transformation
      InitTransform();
   }

   // destructor
   virtual ~ReadGhost_Upstream_TMVA() {
      Clear(); // method-specific
   }

   // the classifier response
   // "inputValues" is a vector of input values in the same order as the 
   // variables given to the constructor
   double GetMvaValue( const std::vector<double>& inputValues ) const;

 private:

   // method-specific destructor
   void Clear();

   // input variable transformation

   double fMin_1[3][22];
   double fMax_1[3][22];
   void InitTransform_1();
   void Transform_1( std::vector<double> & iv, int sigOrBgd ) const;
   void InitTransform();
   void Transform( std::vector<double> & iv, int sigOrBgd ) const;

   // common member variables
   const char* fClassName;

   const size_t fNvars;
   size_t GetNvar()           const { return fNvars; }
   char   GetType( int ivar ) const { return fType[ivar]; }

   // normalisation of input variables
   const bool fIsNormalised;
   bool IsNormalised() const { return fIsNormalised; }
   double fVmin[22];
   double fVmax[22];
   double NormVariable( double x, double xmin, double xmax ) const {
      // normalise to output range: [-1, 1]
      return 2*(x - xmin)/(xmax - xmin) - 1.0;
   }

   // type of input variable: 'F' or 'I'
   char   fType[22];

   // initialize internal variables
   void Initialize();
   double GetMvaValue__( const std::vector<double>& inputValues ) const;

   // private members (method specific)

   double ActivationFnc(double x) const;
   double OutputActivationFnc(double x) const;

   int fLayers;
   int fLayerSize[3];
   double fWeightMatrix0to1[31][23];   // weight matrix from layer 0 to 1
   double fWeightMatrix1to2[1][31];   // weight matrix from layer 1 to 2

   double * fWeights[3];
};

inline void ReadGhost_Upstream_TMVA::Initialize()
{
   // build network structure
   fLayers = 3;
   fLayerSize[0] = 23; fWeights[0] = new double[23]; 
   fLayerSize[1] = 31; fWeights[1] = new double[31]; 
   fLayerSize[2] = 1; fWeights[2] = new double[1]; 
   // weight matrix from layer 0 to 1
   fWeightMatrix0to1[0][0] = -8.1055917938716;
   fWeightMatrix0to1[1][0] = 2.77442497691361;
   fWeightMatrix0to1[2][0] = 4.45867218359604;
   fWeightMatrix0to1[3][0] = 2.45391878324597;
   fWeightMatrix0to1[4][0] = -21.5347820578059;
   fWeightMatrix0to1[5][0] = 5.17635415678748;
   fWeightMatrix0to1[6][0] = -2.57540901377314;
   fWeightMatrix0to1[7][0] = 0.365019962957824;
   fWeightMatrix0to1[8][0] = -0.291955038820224;
   fWeightMatrix0to1[9][0] = 0.111567966950837;
   fWeightMatrix0to1[10][0] = 6.57474249448877;
   fWeightMatrix0to1[11][0] = -1.7692498307573;
   fWeightMatrix0to1[12][0] = 3.93362968850239;
   fWeightMatrix0to1[13][0] = -9.46814305534415;
   fWeightMatrix0to1[14][0] = 11.3843139778735;
   fWeightMatrix0to1[15][0] = -4.17760345946005;
   fWeightMatrix0to1[16][0] = -0.177105955407464;
   fWeightMatrix0to1[17][0] = 2.17489115850537;
   fWeightMatrix0to1[18][0] = 0.79792184382065;
   fWeightMatrix0to1[19][0] = 17.8179930390165;
   fWeightMatrix0to1[20][0] = -1.11059820349741;
   fWeightMatrix0to1[21][0] = -4.32425862128873;
   fWeightMatrix0to1[22][0] = 7.48079718940575;
   fWeightMatrix0to1[23][0] = -2.74070822654563;
   fWeightMatrix0to1[24][0] = -4.41487031378917;
   fWeightMatrix0to1[25][0] = 0.324727939451805;
   fWeightMatrix0to1[26][0] = 2.51214512161196;
   fWeightMatrix0to1[27][0] = -2.87000066307133;
   fWeightMatrix0to1[28][0] = 4.93441789872794;
   fWeightMatrix0to1[29][0] = -0.458191791931463;
   fWeightMatrix0to1[0][1] = 1.04191484567439;
   fWeightMatrix0to1[1][1] = -2.25235416047029;
   fWeightMatrix0to1[2][1] = 2.12886975880041;
   fWeightMatrix0to1[3][1] = -4.21799952100439;
   fWeightMatrix0to1[4][1] = -0.0158959098216938;
   fWeightMatrix0to1[5][1] = -0.731175840449645;
   fWeightMatrix0to1[6][1] = -1.68875206535744;
   fWeightMatrix0to1[7][1] = 0.651149056139718;
   fWeightMatrix0to1[8][1] = 4.12212844061638;
   fWeightMatrix0to1[9][1] = 0.913832029571114;
   fWeightMatrix0to1[10][1] = 2.0292108297155;
   fWeightMatrix0to1[11][1] = -1.45161964628767;
   fWeightMatrix0to1[12][1] = 11.6787477078776;
   fWeightMatrix0to1[13][1] = 2.61437808958932;
   fWeightMatrix0to1[14][1] = -2.8579530447302;
   fWeightMatrix0to1[15][1] = 3.91829071619267;
   fWeightMatrix0to1[16][1] = -2.07997918944419;
   fWeightMatrix0to1[17][1] = 0.508499395388716;
   fWeightMatrix0to1[18][1] = 1.49198088719296;
   fWeightMatrix0to1[19][1] = 9.9365599827396;
   fWeightMatrix0to1[20][1] = 8.6385656622935;
   fWeightMatrix0to1[21][1] = -0.496548792326014;
   fWeightMatrix0to1[22][1] = -6.72437223671323;
   fWeightMatrix0to1[23][1] = -1.21653560729663;
   fWeightMatrix0to1[24][1] = -9.61075255682883;
   fWeightMatrix0to1[25][1] = -5.56811903385816;
   fWeightMatrix0to1[26][1] = 0.1764624004527;
   fWeightMatrix0to1[27][1] = 2.3239291632123;
   fWeightMatrix0to1[28][1] = 4.61192866604662;
   fWeightMatrix0to1[29][1] = 0.771540739359704;
   fWeightMatrix0to1[0][2] = -1.05190248658705;
   fWeightMatrix0to1[1][2] = -0.208038676627312;
   fWeightMatrix0to1[2][2] = -4.38387040284862;
   fWeightMatrix0to1[3][2] = 0.929403223118175;
   fWeightMatrix0to1[4][2] = -0.858363650327436;
   fWeightMatrix0to1[5][2] = 0.96804933855864;
   fWeightMatrix0to1[6][2] = 0.148585246536977;
   fWeightMatrix0to1[7][2] = -5.07982773886775;
   fWeightMatrix0to1[8][2] = -4.24115177886362;
   fWeightMatrix0to1[9][2] = -1.03680507491568;
   fWeightMatrix0to1[10][2] = 0.398233197932962;
   fWeightMatrix0to1[11][2] = -1.16650120718893;
   fWeightMatrix0to1[12][2] = -0.0700000020386512;
   fWeightMatrix0to1[13][2] = -0.405554980004965;
   fWeightMatrix0to1[14][2] = 1.08748508758685;
   fWeightMatrix0to1[15][2] = 1.63023467877829;
   fWeightMatrix0to1[16][2] = -0.769755478098158;
   fWeightMatrix0to1[17][2] = -1.71965034491977;
   fWeightMatrix0to1[18][2] = 1.19636759919735;
   fWeightMatrix0to1[19][2] = -1.40237266908584;
   fWeightMatrix0to1[20][2] = 3.29736954323811;
   fWeightMatrix0to1[21][2] = 4.96159578107809;
   fWeightMatrix0to1[22][2] = -0.787724061031914;
   fWeightMatrix0to1[23][2] = 5.66299799422329;
   fWeightMatrix0to1[24][2] = -0.521026764153353;
   fWeightMatrix0to1[25][2] = 3.1459145536298;
   fWeightMatrix0to1[26][2] = -1.20133778281094;
   fWeightMatrix0to1[27][2] = 0.160201062769896;
   fWeightMatrix0to1[28][2] = 2.32692283171683;
   fWeightMatrix0to1[29][2] = -2.65670211795383;
   fWeightMatrix0to1[0][3] = 5.87233164275524;
   fWeightMatrix0to1[1][3] = 1.24884612475032;
   fWeightMatrix0to1[2][3] = -11.258650293388;
   fWeightMatrix0to1[3][3] = 0.763368094178843;
   fWeightMatrix0to1[4][3] = 5.42636134312887;
   fWeightMatrix0to1[5][3] = 18.1265361798506;
   fWeightMatrix0to1[6][3] = 6.69002587786785;
   fWeightMatrix0to1[7][3] = 3.45925094270806;
   fWeightMatrix0to1[8][3] = -10.1845742004744;
   fWeightMatrix0to1[9][3] = 0.371930909965354;
   fWeightMatrix0to1[10][3] = -5.94278279135505;
   fWeightMatrix0to1[11][3] = -4.271492798989;
   fWeightMatrix0to1[12][3] = 2.35020539975752;
   fWeightMatrix0to1[13][3] = 6.24169080020361;
   fWeightMatrix0to1[14][3] = 0.820572954271202;
   fWeightMatrix0to1[15][3] = -4.44409418109412;
   fWeightMatrix0to1[16][3] = 1.9770040200615;
   fWeightMatrix0to1[17][3] = -0.340547655704382;
   fWeightMatrix0to1[18][3] = -0.995637345185625;
   fWeightMatrix0to1[19][3] = 18.7103622363534;
   fWeightMatrix0to1[20][3] = -10.6720332688987;
   fWeightMatrix0to1[21][3] = 2.07962478920224;
   fWeightMatrix0to1[22][3] = -56.3860872004707;
   fWeightMatrix0to1[23][3] = -9.57601948467431;
   fWeightMatrix0to1[24][3] = -5.04347849924966;
   fWeightMatrix0to1[25][3] = 7.29602427399399;
   fWeightMatrix0to1[26][3] = 3.89972453394067;
   fWeightMatrix0to1[27][3] = -0.346548990672592;
   fWeightMatrix0to1[28][3] = 3.5560222439817;
   fWeightMatrix0to1[29][3] = -8.98305438387805;
   fWeightMatrix0to1[0][4] = -6.1058327327789;
   fWeightMatrix0to1[1][4] = -0.124135197327752;
   fWeightMatrix0to1[2][4] = -2.49061139202344;
   fWeightMatrix0to1[3][4] = -4.31895809758446;
   fWeightMatrix0to1[4][4] = -6.3165996377098;
   fWeightMatrix0to1[5][4] = -4.12838354930795;
   fWeightMatrix0to1[6][4] = -4.80834050605481;
   fWeightMatrix0to1[7][4] = -9.58697466212728;
   fWeightMatrix0to1[8][4] = -1.65498356121994;
   fWeightMatrix0to1[9][4] = -0.843712817425671;
   fWeightMatrix0to1[10][4] = -0.1535225410766;
   fWeightMatrix0to1[11][4] = -8.99851579224886;
   fWeightMatrix0to1[12][4] = 1.29011031912578;
   fWeightMatrix0to1[13][4] = -0.467339331451732;
   fWeightMatrix0to1[14][4] = 6.45830501810962;
   fWeightMatrix0to1[15][4] = -1.04890035148337;
   fWeightMatrix0to1[16][4] = -4.77876069423345;
   fWeightMatrix0to1[17][4] = -2.76483977123179;
   fWeightMatrix0to1[18][4] = 0.226173478171033;
   fWeightMatrix0to1[19][4] = 12.2348515534944;
   fWeightMatrix0to1[20][4] = 12.9064204443127;
   fWeightMatrix0to1[21][4] = -6.29285879620415;
   fWeightMatrix0to1[22][4] = -2.79305538447845;
   fWeightMatrix0to1[23][4] = 1.38988825371373;
   fWeightMatrix0to1[24][4] = -15.2239683097559;
   fWeightMatrix0to1[25][4] = 4.12321932419744;
   fWeightMatrix0to1[26][4] = -0.286441348115826;
   fWeightMatrix0to1[27][4] = 16.2684299109218;
   fWeightMatrix0to1[28][4] = 6.12928191660582;
   fWeightMatrix0to1[29][4] = 2.92704065897257;
   fWeightMatrix0to1[0][5] = 0.69115596569819;
   fWeightMatrix0to1[1][5] = 0.180810721250483;
   fWeightMatrix0to1[2][5] = 7.73066865802109;
   fWeightMatrix0to1[3][5] = 0.778493507330182;
   fWeightMatrix0to1[4][5] = 0.0912820445843457;
   fWeightMatrix0to1[5][5] = 2.57527334013439;
   fWeightMatrix0to1[6][5] = -0.485491404163652;
   fWeightMatrix0to1[7][5] = 4.61517624334709;
   fWeightMatrix0to1[8][5] = 6.96718223940606;
   fWeightMatrix0to1[9][5] = 0.618850537636354;
   fWeightMatrix0to1[10][5] = 0.146862263044336;
   fWeightMatrix0to1[11][5] = 2.01399329389133;
   fWeightMatrix0to1[12][5] = -0.46547649731528;
   fWeightMatrix0to1[13][5] = 0.683201713596908;
   fWeightMatrix0to1[14][5] = -0.219999364799219;
   fWeightMatrix0to1[15][5] = -0.69295989167425;
   fWeightMatrix0to1[16][5] = 0.190644629618237;
   fWeightMatrix0to1[17][5] = 0.32295968151169;
   fWeightMatrix0to1[18][5] = -0.149904773294335;
   fWeightMatrix0to1[19][5] = 0.779168797563368;
   fWeightMatrix0to1[20][5] = -2.63830401189903;
   fWeightMatrix0to1[21][5] = 0.967728597700021;
   fWeightMatrix0to1[22][5] = 3.00231014526316;
   fWeightMatrix0to1[23][5] = 7.45430773405985;
   fWeightMatrix0to1[24][5] = -0.731020051810837;
   fWeightMatrix0to1[25][5] = -2.79147675479691;
   fWeightMatrix0to1[26][5] = -1.31317590647779;
   fWeightMatrix0to1[27][5] = 1.28862484848582;
   fWeightMatrix0to1[28][5] = -1.39585077108929;
   fWeightMatrix0to1[29][5] = -1.89514247009241;
   fWeightMatrix0to1[0][6] = -1.25409588815276;
   fWeightMatrix0to1[1][6] = 0.283423430073729;
   fWeightMatrix0to1[2][6] = 0.100993705925734;
   fWeightMatrix0to1[3][6] = -0.256700354995789;
   fWeightMatrix0to1[4][6] = 0.0667706455167807;
   fWeightMatrix0to1[5][6] = -17.5437282432677;
   fWeightMatrix0to1[6][6] = 1.20893813206945;
   fWeightMatrix0to1[7][6] = -1.89443432958322;
   fWeightMatrix0to1[8][6] = 0.361768034158046;
   fWeightMatrix0to1[9][6] = -1.35598060889988;
   fWeightMatrix0to1[10][6] = 0.144030871797814;
   fWeightMatrix0to1[11][6] = -5.69286790455958;
   fWeightMatrix0to1[12][6] = 0.356318715254402;
   fWeightMatrix0to1[13][6] = -0.00138115345498065;
   fWeightMatrix0to1[14][6] = 0.255695307153071;
   fWeightMatrix0to1[15][6] = -1.4322340927965;
   fWeightMatrix0to1[16][6] = 0.00252113451787565;
   fWeightMatrix0to1[17][6] = 1.70235222260946;
   fWeightMatrix0to1[18][6] = 0.268738800092929;
   fWeightMatrix0to1[19][6] = -10.2068455062746;
   fWeightMatrix0to1[20][6] = -8.35703679059818;
   fWeightMatrix0to1[21][6] = -0.849429006799249;
   fWeightMatrix0to1[22][6] = -0.344405095974879;
   fWeightMatrix0to1[23][6] = -0.21248371384951;
   fWeightMatrix0to1[24][6] = 1.24920595763943;
   fWeightMatrix0to1[25][6] = -0.770471606052607;
   fWeightMatrix0to1[26][6] = 0.624337037972262;
   fWeightMatrix0to1[27][6] = 0.464064421940574;
   fWeightMatrix0to1[28][6] = -0.627669227030291;
   fWeightMatrix0to1[29][6] = 2.88688343581127;
   fWeightMatrix0to1[0][7] = -2.38360260664226;
   fWeightMatrix0to1[1][7] = 0.883969307884774;
   fWeightMatrix0to1[2][7] = -1.98668666204756;
   fWeightMatrix0to1[3][7] = -1.25362109779149;
   fWeightMatrix0to1[4][7] = 1.70913078486993;
   fWeightMatrix0to1[5][7] = 8.67620470499913;
   fWeightMatrix0to1[6][7] = -5.29163788492974;
   fWeightMatrix0to1[7][7] = 1.37106794573007;
   fWeightMatrix0to1[8][7] = -1.79750915915156;
   fWeightMatrix0to1[9][7] = -0.478560625963108;
   fWeightMatrix0to1[10][7] = -0.489133022740658;
   fWeightMatrix0to1[11][7] = 3.40742758075138;
   fWeightMatrix0to1[12][7] = -22.969337552504;
   fWeightMatrix0to1[13][7] = -0.43202316326782;
   fWeightMatrix0to1[14][7] = 1.15358136761904;
   fWeightMatrix0to1[15][7] = -2.20279019916603;
   fWeightMatrix0to1[16][7] = 1.84626551349853;
   fWeightMatrix0to1[17][7] = 0.306060424886115;
   fWeightMatrix0to1[18][7] = -1.09045062487288;
   fWeightMatrix0to1[19][7] = 4.01672335440771;
   fWeightMatrix0to1[20][7] = 0.289769527025092;
   fWeightMatrix0to1[21][7] = -4.79387774402714;
   fWeightMatrix0to1[22][7] = -0.252622490963174;
   fWeightMatrix0to1[23][7] = -5.14923758525927;
   fWeightMatrix0to1[24][7] = 7.0216682823374;
   fWeightMatrix0to1[25][7] = -0.565665354315206;
   fWeightMatrix0to1[26][7] = 2.32916501456928;
   fWeightMatrix0to1[27][7] = 0.278941878494622;
   fWeightMatrix0to1[28][7] = -8.62602076174335;
   fWeightMatrix0to1[29][7] = 2.1209307038175;
   fWeightMatrix0to1[0][8] = -14.9588054864917;
   fWeightMatrix0to1[1][8] = -1.35959753069243;
   fWeightMatrix0to1[2][8] = 16.2915603503019;
   fWeightMatrix0to1[3][8] = -1.25057998427872;
   fWeightMatrix0to1[4][8] = -7.47831482109529;
   fWeightMatrix0to1[5][8] = -19.6774942208241;
   fWeightMatrix0to1[6][8] = -7.04053587135593;
   fWeightMatrix0to1[7][8] = 1.12392340514033;
   fWeightMatrix0to1[8][8] = 14.1629412213684;
   fWeightMatrix0to1[9][8] = -1.98037870406932;
   fWeightMatrix0to1[10][8] = 6.23341044162565;
   fWeightMatrix0to1[11][8] = -5.15994894782195;
   fWeightMatrix0to1[12][8] = 0.393838675704055;
   fWeightMatrix0to1[13][8] = -2.60792620671177;
   fWeightMatrix0to1[14][8] = -5.9970387559016;
   fWeightMatrix0to1[15][8] = 3.84046074438711;
   fWeightMatrix0to1[16][8] = -3.76596225174934;
   fWeightMatrix0to1[17][8] = -0.763413253477744;
   fWeightMatrix0to1[18][8] = 0.00954751422613728;
   fWeightMatrix0to1[19][8] = -19.6982663818405;
   fWeightMatrix0to1[20][8] = 7.74382929955039;
   fWeightMatrix0to1[21][8] = -0.591807260460667;
   fWeightMatrix0to1[22][8] = 55.0158343625402;
   fWeightMatrix0to1[23][8] = 10.9371047930435;
   fWeightMatrix0to1[24][8] = -8.10312586009686;
   fWeightMatrix0to1[25][8] = -5.86757589012505;
   fWeightMatrix0to1[26][8] = -5.53111679093121;
   fWeightMatrix0to1[27][8] = 0.428165873920066;
   fWeightMatrix0to1[28][8] = 0.106228610893008;
   fWeightMatrix0to1[29][8] = 7.51491250365737;
   fWeightMatrix0to1[0][9] = -1.95347464897504;
   fWeightMatrix0to1[1][9] = -0.0707127237545458;
   fWeightMatrix0to1[2][9] = 0.254649155912281;
   fWeightMatrix0to1[3][9] = 1.44155540125434;
   fWeightMatrix0to1[4][9] = -0.129892504634018;
   fWeightMatrix0to1[5][9] = 0.0168330769507345;
   fWeightMatrix0to1[6][9] = -0.362717464142372;
   fWeightMatrix0to1[7][9] = -0.0032396259427786;
   fWeightMatrix0to1[8][9] = 0.164043904901078;
   fWeightMatrix0to1[9][9] = 0.601140511493738;
   fWeightMatrix0to1[10][9] = 0.2552714632952;
   fWeightMatrix0to1[11][9] = 1.56417796682055;
   fWeightMatrix0to1[12][9] = -7.02403873639077;
   fWeightMatrix0to1[13][9] = 0.461708581976034;
   fWeightMatrix0to1[14][9] = -2.4717216968697;
   fWeightMatrix0to1[15][9] = -0.336158709546309;
   fWeightMatrix0to1[16][9] = -0.226146723082583;
   fWeightMatrix0to1[17][9] = 1.60095942101341;
   fWeightMatrix0to1[18][9] = -0.215686987171898;
   fWeightMatrix0to1[19][9] = 7.63884870757797;
   fWeightMatrix0to1[20][9] = 0.403949920593613;
   fWeightMatrix0to1[21][9] = 0.378826093251193;
   fWeightMatrix0to1[22][9] = -0.214177580666298;
   fWeightMatrix0to1[23][9] = 0.0281068302611092;
   fWeightMatrix0to1[24][9] = -0.123544945692651;
   fWeightMatrix0to1[25][9] = -0.419561409086958;
   fWeightMatrix0to1[26][9] = 0.335972109528114;
   fWeightMatrix0to1[27][9] = 0.227657724363796;
   fWeightMatrix0to1[28][9] = -6.97655211857387;
   fWeightMatrix0to1[29][9] = -0.733763131758795;
   fWeightMatrix0to1[0][10] = -1.62228272934712;
   fWeightMatrix0to1[1][10] = -1.61273455449285;
   fWeightMatrix0to1[2][10] = 2.36575802237846;
   fWeightMatrix0to1[3][10] = 0.340294552860063;
   fWeightMatrix0to1[4][10] = -0.00500789788546128;
   fWeightMatrix0to1[5][10] = -4.30730984425581;
   fWeightMatrix0to1[6][10] = -0.0822916127299823;
   fWeightMatrix0to1[7][10] = -2.49742374812602;
   fWeightMatrix0to1[8][10] = 1.4473870107271;
   fWeightMatrix0to1[9][10] = -1.50204342884603;
   fWeightMatrix0to1[10][10] = -5.36276961723569;
   fWeightMatrix0to1[11][10] = -4.89778200220692;
   fWeightMatrix0to1[12][10] = -0.0524095088604835;
   fWeightMatrix0to1[13][10] = 1.76967898332423;
   fWeightMatrix0to1[14][10] = 1.64114863145372;
   fWeightMatrix0to1[15][10] = 3.68867088554346;
   fWeightMatrix0to1[16][10] = 0.260441270626316;
   fWeightMatrix0to1[17][10] = -1.94947730347134;
   fWeightMatrix0to1[18][10] = 1.0085781622938;
   fWeightMatrix0to1[19][10] = 3.5911556815491;
   fWeightMatrix0to1[20][10] = -4.10648473692517;
   fWeightMatrix0to1[21][10] = -1.89048483435024;
   fWeightMatrix0to1[22][10] = -3.10812514836262;
   fWeightMatrix0to1[23][10] = 0.355500892038451;
   fWeightMatrix0to1[24][10] = -0.994969458570361;
   fWeightMatrix0to1[25][10] = 1.46165551107256;
   fWeightMatrix0to1[26][10] = 1.12257907471922;
   fWeightMatrix0to1[27][10] = 2.01992530292659;
   fWeightMatrix0to1[28][10] = -1.4710411397577;
   fWeightMatrix0to1[29][10] = 0.62592586526097;
   fWeightMatrix0to1[0][11] = -8.6586014099536;
   fWeightMatrix0to1[1][11] = -0.22402054390038;
   fWeightMatrix0to1[2][11] = -6.01248406074091;
   fWeightMatrix0to1[3][11] = -2.23407939166387;
   fWeightMatrix0to1[4][11] = 0.268176244038209;
   fWeightMatrix0to1[5][11] = 8.48634769481875;
   fWeightMatrix0to1[6][11] = -0.612245158382087;
   fWeightMatrix0to1[7][11] = 0.134992871233797;
   fWeightMatrix0to1[8][11] = 4.87707829855724;
   fWeightMatrix0to1[9][11] = 1.04714040900486;
   fWeightMatrix0to1[10][11] = -0.301027206041176;
   fWeightMatrix0to1[11][11] = 0.574855107417916;
   fWeightMatrix0to1[12][11] = 6.54754346255839;
   fWeightMatrix0to1[13][11] = 2.48301684716483;
   fWeightMatrix0to1[14][11] = -0.114028045117709;
   fWeightMatrix0to1[15][11] = -4.73973106180809;
   fWeightMatrix0to1[16][11] = 0.223694341722619;
   fWeightMatrix0to1[17][11] = -0.114394469924379;
   fWeightMatrix0to1[18][11] = -0.038987848929885;
   fWeightMatrix0to1[19][11] = 1.34896961154309;
   fWeightMatrix0to1[20][11] = 0.0797637271328153;
   fWeightMatrix0to1[21][11] = 3.36607009444761;
   fWeightMatrix0to1[22][11] = 0.0645027770192712;
   fWeightMatrix0to1[23][11] = -0.187503655171625;
   fWeightMatrix0to1[24][11] = -0.0702723437095147;
   fWeightMatrix0to1[25][11] = -4.96656175090647;
   fWeightMatrix0to1[26][11] = 0.297281186489606;
   fWeightMatrix0to1[27][11] = 3.70391101417763;
   fWeightMatrix0to1[28][11] = -1.52433779279683;
   fWeightMatrix0to1[29][11] = 0.0881998204449984;
   fWeightMatrix0to1[0][12] = 0.201883179546577;
   fWeightMatrix0to1[1][12] = -0.28361649406617;
   fWeightMatrix0to1[2][12] = -10.933541827919;
   fWeightMatrix0to1[3][12] = -0.117455439656281;
   fWeightMatrix0to1[4][12] = -0.00423283014360317;
   fWeightMatrix0to1[5][12] = -0.164283718565531;
   fWeightMatrix0to1[6][12] = 0.0305705895320447;
   fWeightMatrix0to1[7][12] = -1.43637190611218;
   fWeightMatrix0to1[8][12] = -4.97688197440214;
   fWeightMatrix0to1[9][12] = -0.0756729969544265;
   fWeightMatrix0to1[10][12] = -0.0603662646477317;
   fWeightMatrix0to1[11][12] = -0.0853794328822751;
   fWeightMatrix0to1[12][12] = -7.13426021157129;
   fWeightMatrix0to1[13][12] = 0.235782358242736;
   fWeightMatrix0to1[14][12] = -0.949020439805369;
   fWeightMatrix0to1[15][12] = 0.293809497789;
   fWeightMatrix0to1[16][12] = 0.0972836731308023;
   fWeightMatrix0to1[17][12] = 1.20898852982695;
   fWeightMatrix0to1[18][12] = -0.758660970199985;
   fWeightMatrix0to1[19][12] = 0.0756678110197619;
   fWeightMatrix0to1[20][12] = 0.10759177750826;
   fWeightMatrix0to1[21][12] = -3.76493361937213;
   fWeightMatrix0to1[22][12] = 0.128223879018376;
   fWeightMatrix0to1[23][12] = 0.534344895903144;
   fWeightMatrix0to1[24][12] = -0.0718947231596186;
   fWeightMatrix0to1[25][12] = -0.0257447935706839;
   fWeightMatrix0to1[26][12] = 0.0567360077047994;
   fWeightMatrix0to1[27][12] = 0.0636708199644809;
   fWeightMatrix0to1[28][12] = -0.957404792910029;
   fWeightMatrix0to1[29][12] = 4.23245822372684;
   fWeightMatrix0to1[0][13] = 0.0601644862099875;
   fWeightMatrix0to1[1][13] = -0.286757619932357;
   fWeightMatrix0to1[2][13] = -0.868160536234481;
   fWeightMatrix0to1[3][13] = 0.316898065423206;
   fWeightMatrix0to1[4][13] = 0.0316450330986521;
   fWeightMatrix0to1[5][13] = 0.32075783407951;
   fWeightMatrix0to1[6][13] = 0.103906278466209;
   fWeightMatrix0to1[7][13] = 0.161052363189687;
   fWeightMatrix0to1[8][13] = -0.0290393664567784;
   fWeightMatrix0to1[9][13] = 0.27928877606562;
   fWeightMatrix0to1[10][13] = 0.107701766888647;
   fWeightMatrix0to1[11][13] = 0.0162233886906215;
   fWeightMatrix0to1[12][13] = 0.210758192256999;
   fWeightMatrix0to1[13][13] = 0.236933073308886;
   fWeightMatrix0to1[14][13] = -0.850973820892032;
   fWeightMatrix0to1[15][13] = 0.181384594900633;
   fWeightMatrix0to1[16][13] = 0.0253816333911944;
   fWeightMatrix0to1[17][13] = 1.55977095628966;
   fWeightMatrix0to1[18][13] = 0.0325022461816848;
   fWeightMatrix0to1[19][13] = 0.0799327214158642;
   fWeightMatrix0to1[20][13] = -0.0452148308485338;
   fWeightMatrix0to1[21][13] = -0.228175167071467;
   fWeightMatrix0to1[22][13] = 0.114961404249223;
   fWeightMatrix0to1[23][13] = -0.600748652550749;
   fWeightMatrix0to1[24][13] = -0.000142868496420002;
   fWeightMatrix0to1[25][13] = -0.160784792517793;
   fWeightMatrix0to1[26][13] = 3.30754838036569;
   fWeightMatrix0to1[27][13] = 0.0251853280098482;
   fWeightMatrix0to1[28][13] = 2.04826188525938;
   fWeightMatrix0to1[29][13] = -3.48524018692666;
   fWeightMatrix0to1[0][14] = 5.31190024361764;
   fWeightMatrix0to1[1][14] = 6.81144629051894;
   fWeightMatrix0to1[2][14] = -0.795200324939976;
   fWeightMatrix0to1[3][14] = 2.67363552642527;
   fWeightMatrix0to1[4][14] = -1.81410862360938;
   fWeightMatrix0to1[5][14] = -1.78958969464126;
   fWeightMatrix0to1[6][14] = -0.0249234919703108;
   fWeightMatrix0to1[7][14] = -2.43072658193498;
   fWeightMatrix0to1[8][14] = -6.09749574351067;
   fWeightMatrix0to1[9][14] = -1.40089927520888;
   fWeightMatrix0to1[10][14] = 47.805408692432;
   fWeightMatrix0to1[11][14] = -0.52712602753623;
   fWeightMatrix0to1[12][14] = 2.31814664814432;
   fWeightMatrix0to1[13][14] = -3.2045755604785;
   fWeightMatrix0to1[14][14] = 2.71118819587976;
   fWeightMatrix0to1[15][14] = -34.4391094943489;
   fWeightMatrix0to1[16][14] = 4.55860779388322;
   fWeightMatrix0to1[17][14] = -0.765176635816893;
   fWeightMatrix0to1[18][14] = -2.87736220084079;
   fWeightMatrix0to1[19][14] = -16.1180392293464;
   fWeightMatrix0to1[20][14] = -4.23762326522959;
   fWeightMatrix0to1[21][14] = 0.236157704554215;
   fWeightMatrix0to1[22][14] = 0.332196488974869;
   fWeightMatrix0to1[23][14] = -1.99827728354936;
   fWeightMatrix0to1[24][14] = 3.04538026706335;
   fWeightMatrix0to1[25][14] = 2.11466157982551;
   fWeightMatrix0to1[26][14] = 6.79267875298388;
   fWeightMatrix0to1[27][14] = 9.4190123218711;
   fWeightMatrix0to1[28][14] = -0.707197257871717;
   fWeightMatrix0to1[29][14] = -0.407117951795961;
   fWeightMatrix0to1[0][15] = 4.49968420944319;
   fWeightMatrix0to1[1][15] = 0.45094723849229;
   fWeightMatrix0to1[2][15] = 1.82573386156152;
   fWeightMatrix0to1[3][15] = 3.10676808600407;
   fWeightMatrix0to1[4][15] = 1.74807485851665;
   fWeightMatrix0to1[5][15] = -5.3199898407998;
   fWeightMatrix0to1[6][15] = 4.12456117340609;
   fWeightMatrix0to1[7][15] = -2.67047157915014;
   fWeightMatrix0to1[8][15] = -1.08204105825804;
   fWeightMatrix0to1[9][15] = 2.23315524208354;
   fWeightMatrix0to1[10][15] = 2.26565992065182;
   fWeightMatrix0to1[11][15] = -2.72122072114264;
   fWeightMatrix0to1[12][15] = 2.51458602896422;
   fWeightMatrix0to1[13][15] = -0.0811426665632917;
   fWeightMatrix0to1[14][15] = 2.12940103589425;
   fWeightMatrix0to1[15][15] = -6.72716916369049;
   fWeightMatrix0to1[16][15] = -1.94630116599921;
   fWeightMatrix0to1[17][15] = -1.61120018665204;
   fWeightMatrix0to1[18][15] = -0.301446164756097;
   fWeightMatrix0to1[19][15] = -0.82044660978243;
   fWeightMatrix0to1[20][15] = -4.2251487792334;
   fWeightMatrix0to1[21][15] = 2.84663097804135;
   fWeightMatrix0to1[22][15] = 1.95153537719692;
   fWeightMatrix0to1[23][15] = 4.21203658601743;
   fWeightMatrix0to1[24][15] = 0.814686044550012;
   fWeightMatrix0to1[25][15] = 2.31957928040036;
   fWeightMatrix0to1[26][15] = -0.455031061127505;
   fWeightMatrix0to1[27][15] = -4.57290331045621;
   fWeightMatrix0to1[28][15] = 1.9766160340004;
   fWeightMatrix0to1[29][15] = 0.926785099618624;
   fWeightMatrix0to1[0][16] = -0.887186645692576;
   fWeightMatrix0to1[1][16] = -0.789351345958922;
   fWeightMatrix0to1[2][16] = 2.094388269042;
   fWeightMatrix0to1[3][16] = 0.29379692901025;
   fWeightMatrix0to1[4][16] = 0.254702093117352;
   fWeightMatrix0to1[5][16] = -0.222065415494046;
   fWeightMatrix0to1[6][16] = 0.424252986680398;
   fWeightMatrix0to1[7][16] = -1.99158175828763;
   fWeightMatrix0to1[8][16] = 3.11559074558977;
   fWeightMatrix0to1[9][16] = 0.356012600024987;
   fWeightMatrix0to1[10][16] = -1.08071180938133;
   fWeightMatrix0to1[11][16] = -2.03183558633354;
   fWeightMatrix0to1[12][16] = -0.971692486948203;
   fWeightMatrix0to1[13][16] = -0.515055119369104;
   fWeightMatrix0to1[14][16] = 0.532149225602057;
   fWeightMatrix0to1[15][16] = 4.8504197019063;
   fWeightMatrix0to1[16][16] = -0.936917903122395;
   fWeightMatrix0to1[17][16] = -0.504369859649698;
   fWeightMatrix0to1[18][16] = 1.63224988991777;
   fWeightMatrix0to1[19][16] = 0.842093354301143;
   fWeightMatrix0to1[20][16] = -4.67749133037889;
   fWeightMatrix0to1[21][16] = 2.22681175499422;
   fWeightMatrix0to1[22][16] = 2.18825689869919;
   fWeightMatrix0to1[23][16] = 0.54918373106344;
   fWeightMatrix0to1[24][16] = -0.563785781304167;
   fWeightMatrix0to1[25][16] = -2.73232058226085;
   fWeightMatrix0to1[26][16] = 1.11442409751081;
   fWeightMatrix0to1[27][16] = -8.12553143509728;
   fWeightMatrix0to1[28][16] = 0.673841062931474;
   fWeightMatrix0to1[29][16] = -1.18244528631687;
   fWeightMatrix0to1[0][17] = 0.221353064099538;
   fWeightMatrix0to1[1][17] = -2.40916837479998;
   fWeightMatrix0to1[2][17] = 0.792752137594906;
   fWeightMatrix0to1[3][17] = -1.43925397789788;
   fWeightMatrix0to1[4][17] = 0.153169979524987;
   fWeightMatrix0to1[5][17] = 0.392841761667767;
   fWeightMatrix0to1[6][17] = -0.82301710900477;
   fWeightMatrix0to1[7][17] = 0.0302833406325816;
   fWeightMatrix0to1[8][17] = 3.88727196593614;
   fWeightMatrix0to1[9][17] = 0.461318427627147;
   fWeightMatrix0to1[10][17] = -5.2977116521135;
   fWeightMatrix0to1[11][17] = -1.66276485278539;
   fWeightMatrix0to1[12][17] = 0.977046064508237;
   fWeightMatrix0to1[13][17] = -1.03712201371916;
   fWeightMatrix0to1[14][17] = 2.09365361230825;
   fWeightMatrix0to1[15][17] = 11.7384911202748;
   fWeightMatrix0to1[16][17] = -0.373887037593451;
   fWeightMatrix0to1[17][17] = 1.48071243233099;
   fWeightMatrix0to1[18][17] = 1.53277637930918;
   fWeightMatrix0to1[19][17] = 0.551846955959315;
   fWeightMatrix0to1[20][17] = -2.03099973139722;
   fWeightMatrix0to1[21][17] = -2.17294087610183;
   fWeightMatrix0to1[22][17] = 0.622694270777277;
   fWeightMatrix0to1[23][17] = -1.55681385780451;
   fWeightMatrix0to1[24][17] = -0.948113334565485;
   fWeightMatrix0to1[25][17] = -4.6262026242756;
   fWeightMatrix0to1[26][17] = -0.436929437465707;
   fWeightMatrix0to1[27][17] = -5.20011081843238;
   fWeightMatrix0to1[28][17] = -0.00289612655565237;
   fWeightMatrix0to1[29][17] = -1.44533711909745;
   fWeightMatrix0to1[0][18] = -3.33690309649411;
   fWeightMatrix0to1[1][18] = -1.99626404326917;
   fWeightMatrix0to1[2][18] = -0.248002649351488;
   fWeightMatrix0to1[3][18] = -4.03353571115078;
   fWeightMatrix0to1[4][18] = -0.753862407809006;
   fWeightMatrix0to1[5][18] = 2.33066010295054;
   fWeightMatrix0to1[6][18] = -2.66641322372397;
   fWeightMatrix0to1[7][18] = -2.10432780148175;
   fWeightMatrix0to1[8][18] = 7.2709173985314;
   fWeightMatrix0to1[9][18] = -1.35947291264323;
   fWeightMatrix0to1[10][18] = -9.47056199702143;
   fWeightMatrix0to1[11][18] = 0.95237748731632;
   fWeightMatrix0to1[12][18] = -4.3301539866843;
   fWeightMatrix0to1[13][18] = -0.65574218722761;
   fWeightMatrix0to1[14][18] = 0.862876371641813;
   fWeightMatrix0to1[15][18] = 13.1450959216819;
   fWeightMatrix0to1[16][18] = -1.53567259819619;
   fWeightMatrix0to1[17][18] = -1.25442038323244;
   fWeightMatrix0to1[18][18] = 1.07587697679225;
   fWeightMatrix0to1[19][18] = 1.41792150381584;
   fWeightMatrix0to1[20][18] = 3.07536798090039;
   fWeightMatrix0to1[21][18] = -1.04078628678773;
   fWeightMatrix0to1[22][18] = -1.81097766099303;
   fWeightMatrix0to1[23][18] = -1.6076955417527;
   fWeightMatrix0to1[24][18] = -0.747634345416705;
   fWeightMatrix0to1[25][18] = -5.78496716082063;
   fWeightMatrix0to1[26][18] = -0.873078273975044;
   fWeightMatrix0to1[27][18] = -3.81435055321231;
   fWeightMatrix0to1[28][18] = -1.18016454408708;
   fWeightMatrix0to1[29][18] = 1.30998345349565;
   fWeightMatrix0to1[0][19] = 1.00300548372048;
   fWeightMatrix0to1[1][19] = 0.808926344155837;
   fWeightMatrix0to1[2][19] = 1.84437130724006;
   fWeightMatrix0to1[3][19] = 0.36644300422916;
   fWeightMatrix0to1[4][19] = 5.64370691733959;
   fWeightMatrix0to1[5][19] = 4.85324461564904;
   fWeightMatrix0to1[6][19] = -5.11934954800362;
   fWeightMatrix0to1[7][19] = -4.34894156315913;
   fWeightMatrix0to1[8][19] = 2.29503495873677;
   fWeightMatrix0to1[9][19] = -3.51061521223197;
   fWeightMatrix0to1[10][19] = -5.90251973991663;
   fWeightMatrix0to1[11][19] = -1.49195833588054;
   fWeightMatrix0to1[12][19] = -4.67365231107933;
   fWeightMatrix0to1[13][19] = -2.5696375819527;
   fWeightMatrix0to1[14][19] = 0.717435211574635;
   fWeightMatrix0to1[15][19] = 1.44593777350747;
   fWeightMatrix0to1[16][19] = 1.12982280294602;
   fWeightMatrix0to1[17][19] = 0.80328040144478;
   fWeightMatrix0to1[18][19] = -0.145968813110716;
   fWeightMatrix0to1[19][19] = 6.8188500059336;
   fWeightMatrix0to1[20][19] = 0.917310756912965;
   fWeightMatrix0to1[21][19] = -2.6354176297485;
   fWeightMatrix0to1[22][19] = -6.6426811478112;
   fWeightMatrix0to1[23][19] = -3.14841172603261;
   fWeightMatrix0to1[24][19] = -7.92523689938482;
   fWeightMatrix0to1[25][19] = -2.82597829981393;
   fWeightMatrix0to1[26][19] = 2.94858643295154;
   fWeightMatrix0to1[27][19] = -0.330888788316074;
   fWeightMatrix0to1[28][19] = -8.02271571212733;
   fWeightMatrix0to1[29][19] = 2.03880263139902;
   fWeightMatrix0to1[0][20] = 4.02315050531744;
   fWeightMatrix0to1[1][20] = 13.398109037425;
   fWeightMatrix0to1[2][20] = -1.74245844013369;
   fWeightMatrix0to1[3][20] = -0.430371896808055;
   fWeightMatrix0to1[4][20] = 5.22816218384291;
   fWeightMatrix0to1[5][20] = -4.92397133962641;
   fWeightMatrix0to1[6][20] = 5.01663440790924;
   fWeightMatrix0to1[7][20] = -0.353780652668825;
   fWeightMatrix0to1[8][20] = -2.35205775188176;
   fWeightMatrix0to1[9][20] = 2.10349393560872;
   fWeightMatrix0to1[10][20] = 6.09734642484986;
   fWeightMatrix0to1[11][20] = 1.27428795650752;
   fWeightMatrix0to1[12][20] = 4.78465970744746;
   fWeightMatrix0to1[13][20] = 2.3809836318694;
   fWeightMatrix0to1[14][20] = -2.19931259503538;
   fWeightMatrix0to1[15][20] = -1.38354182460238;
   fWeightMatrix0to1[16][20] = -0.33921341155563;
   fWeightMatrix0to1[17][20] = 0.906260058297022;
   fWeightMatrix0to1[18][20] = -0.0716248910992625;
   fWeightMatrix0to1[19][20] = -6.77209785659195;
   fWeightMatrix0to1[20][20] = -0.990778662155565;
   fWeightMatrix0to1[21][20] = 3.07135637368497;
   fWeightMatrix0to1[22][20] = 6.6667071905244;
   fWeightMatrix0to1[23][20] = 3.29602040488156;
   fWeightMatrix0to1[24][20] = -1.18917108018452;
   fWeightMatrix0to1[25][20] = 0.414824245427299;
   fWeightMatrix0to1[26][20] = -3.04104197269048;
   fWeightMatrix0to1[27][20] = -2.54975010052286;
   fWeightMatrix0to1[28][20] = 1.38103333186789;
   fWeightMatrix0to1[29][20] = -2.33748142363345;
   fWeightMatrix0to1[0][21] = 5.53677322601465;
   fWeightMatrix0to1[1][21] = 18.6427887845326;
   fWeightMatrix0to1[2][21] = 0.143973148837019;
   fWeightMatrix0to1[3][21] = 1.6241976936279;
   fWeightMatrix0to1[4][21] = 1.90504443359027;
   fWeightMatrix0to1[5][21] = 4.14018868613759;
   fWeightMatrix0to1[6][21] = -1.06282743419747;
   fWeightMatrix0to1[7][21] = -0.278716191510978;
   fWeightMatrix0to1[8][21] = 0.448941768055292;
   fWeightMatrix0to1[9][21] = -0.830995007198942;
   fWeightMatrix0to1[10][21] = 2.69487271332452;
   fWeightMatrix0to1[11][21] = 1.90005464078838;
   fWeightMatrix0to1[12][21] = -3.02166588571361;
   fWeightMatrix0to1[13][21] = 1.65041388403438;
   fWeightMatrix0to1[14][21] = 0.755638401430038;
   fWeightMatrix0to1[15][21] = -0.711063080399171;
   fWeightMatrix0to1[16][21] = 1.33850492792839;
   fWeightMatrix0to1[17][21] = 1.74458088881711;
   fWeightMatrix0to1[18][21] = -0.0139951790776771;
   fWeightMatrix0to1[19][21] = -13.2588107821242;
   fWeightMatrix0to1[20][21] = -2.41080917080125;
   fWeightMatrix0to1[21][21] = 0.0760868110626182;
   fWeightMatrix0to1[22][21] = -0.407985478127768;
   fWeightMatrix0to1[23][21] = 2.83859147421342;
   fWeightMatrix0to1[24][21] = 1.30877186738869;
   fWeightMatrix0to1[25][21] = -1.73668330413268;
   fWeightMatrix0to1[26][21] = 0.745142589187495;
   fWeightMatrix0to1[27][21] = 4.49645682569124;
   fWeightMatrix0to1[28][21] = -3.10784830921682;
   fWeightMatrix0to1[29][21] = -0.124640049482412;
   fWeightMatrix0to1[0][22] = -7.36659970133864;
   fWeightMatrix0to1[1][22] = 2.6961675220586;
   fWeightMatrix0to1[2][22] = -0.25383766993084;
   fWeightMatrix0to1[3][22] = 6.63871148361031;
   fWeightMatrix0to1[4][22] = -3.66242942694095;
   fWeightMatrix0to1[5][22] = 2.68641779617996;
   fWeightMatrix0to1[6][22] = -4.94505716059531;
   fWeightMatrix0to1[7][22] = 2.03043030449552;
   fWeightMatrix0to1[8][22] = -0.729162211217986;
   fWeightMatrix0to1[9][22] = -0.244417029378911;
   fWeightMatrix0to1[10][22] = -8.30376525358751;
   fWeightMatrix0to1[11][22] = 0.52891233425142;
   fWeightMatrix0to1[12][22] = -15.3257248115631;
   fWeightMatrix0to1[13][22] = -3.91545312779664;
   fWeightMatrix0to1[14][22] = 5.68897764661874;
   fWeightMatrix0to1[15][22] = 2.52724809587751;
   fWeightMatrix0to1[16][22] = 4.64794792941684;
   fWeightMatrix0to1[17][22] = -1.03310467529784;
   fWeightMatrix0to1[18][22] = 0.015430619086753;
   fWeightMatrix0to1[19][22] = -4.73099161745947;
   fWeightMatrix0to1[20][22] = -1.60975407232337;
   fWeightMatrix0to1[21][22] = -0.810066235631076;
   fWeightMatrix0to1[22][22] = 4.80185469356427;
   fWeightMatrix0to1[23][22] = 2.09526697668162;
   fWeightMatrix0to1[24][22] = 4.79199623202665;
   fWeightMatrix0to1[25][22] = 2.29141019898346;
   fWeightMatrix0to1[26][22] = 0.903238896210587;
   fWeightMatrix0to1[27][22] = -3.35802776414493;
   fWeightMatrix0to1[28][22] = -6.51100737792742;
   fWeightMatrix0to1[29][22] = 1.73094143232552;
   // weight matrix from layer 1 to 2
   fWeightMatrix1to2[0][0] = 0.254488080602438;
   fWeightMatrix1to2[0][1] = 0.416060254197738;
   fWeightMatrix1to2[0][2] = -0.798825352729227;
   fWeightMatrix1to2[0][3] = 1.28979434798198;
   fWeightMatrix1to2[0][4] = 2.52819825927589;
   fWeightMatrix1to2[0][5] = -0.57997388659132;
   fWeightMatrix1to2[0][6] = 0.545395597418836;
   fWeightMatrix1to2[0][7] = 0.337209392450894;
   fWeightMatrix1to2[0][8] = -0.710045018494529;
   fWeightMatrix1to2[0][9] = 0.609515533007389;
   fWeightMatrix1to2[0][10] = 0.883007483346644;
   fWeightMatrix1to2[0][11] = 0.736761552045095;
   fWeightMatrix1to2[0][12] = 0.598476155545299;
   fWeightMatrix1to2[0][13] = 0.604449137004959;
   fWeightMatrix1to2[0][14] = -1.47899972688754;
   fWeightMatrix1to2[0][15] = -0.81329911000219;
   fWeightMatrix1to2[0][16] = -2.82147724615546;
   fWeightMatrix1to2[0][17] = -1.25466570889509;
   fWeightMatrix1to2[0][18] = 0.899649777161289;
   fWeightMatrix1to2[0][19] = -0.440723377276104;
   fWeightMatrix1to2[0][20] = -0.423060977034701;
   fWeightMatrix1to2[0][21] = 0.459667732750222;
   fWeightMatrix1to2[0][22] = 1.3113662510038;
   fWeightMatrix1to2[0][23] = 0.530102772236428;
   fWeightMatrix1to2[0][24] = 0.365821629004075;
   fWeightMatrix1to2[0][25] = 0.530567935744027;
   fWeightMatrix1to2[0][26] = -0.451148621751005;
   fWeightMatrix1to2[0][27] = -0.947620281289936;
   fWeightMatrix1to2[0][28] = 0.833556310285653;
   fWeightMatrix1to2[0][29] = -0.34487594383183;
   fWeightMatrix1to2[0][30] = -0.319200637085344;
}

inline double ReadGhost_Upstream_TMVA::GetMvaValue__( const std::vector<double>& inputValues ) const
{
   if (inputValues.size() != (unsigned int)fLayerSize[0]-1) {
      std::cout << "Input vector needs to be of size " << fLayerSize[0]-1 << std::endl;
      return 0;
   }

   for (int l=0; l<fLayers; l++)
      for (int i=0; i<fLayerSize[l]; i++) fWeights[l][i]=0;

   for (int l=0; l<fLayers-1; l++)
      fWeights[l][fLayerSize[l]-1]=1;

   for (int i=0; i<fLayerSize[0]-1; i++)
      fWeights[0][i]=inputValues[i];

   // layer 0 to 1
   for (int o=0; o<fLayerSize[1]-1; o++) {
      for (int i=0; i<fLayerSize[0]; i++) {
         double inputVal = fWeightMatrix0to1[o][i] * fWeights[0][i];
         fWeights[1][o] += inputVal;
      }
      fWeights[1][o] = ActivationFnc(fWeights[1][o]);
   }
   // layer 1 to 2
   for (int o=0; o<fLayerSize[2]; o++) {
      for (int i=0; i<fLayerSize[1]; i++) {
         double inputVal = fWeightMatrix1to2[o][i] * fWeights[1][i];
         fWeights[2][o] += inputVal;
      }
      fWeights[2][o] = OutputActivationFnc(fWeights[2][o]);
   }

   return fWeights[2][0];
}

double ReadGhost_Upstream_TMVA::ActivationFnc(double x) const {
   // hyperbolic tan
   return tanh(x);
}
double ReadGhost_Upstream_TMVA::OutputActivationFnc(double x) const {
   // sigmoid
   return 1.0/(1.0+exp(-x));
}
   
// Clean up
inline void ReadGhost_Upstream_TMVA::Clear() 
{
   // nothing to clear
}
   inline double ReadGhost_Upstream_TMVA::GetMvaValue( const std::vector<double>& inputValues ) const
   {
      // classifier response value
      double retval = 0;

      // classifier response, sanity check first
      if (!IsStatusClean()) {
         std::cout << "Problem in class \"" << fClassName << "\": cannot return classifier response"
                   << " because status is dirty" << std::endl;
         retval = 0;
      }
      else {
         if (IsNormalised()) {
            // normalise variables
            std::vector<double> iV;
            int ivar = 0;
            for (std::vector<double>::const_iterator varIt = inputValues.begin();
                 varIt != inputValues.end(); varIt++, ivar++) {
               iV.push_back(NormVariable( *varIt, fVmin[ivar], fVmax[ivar] ));
            }
            Transform( iV, -1 );
            retval = GetMvaValue__( iV );
         }
         else {
            std::vector<double> iV;
            int ivar = 0;
            for (std::vector<double>::const_iterator varIt = inputValues.begin();
                 varIt != inputValues.end(); varIt++, ivar++) {
               iV.push_back(*varIt);
            }
            Transform( iV, -1 );
            retval = GetMvaValue__( iV );
         }
      }

      return retval;
   }

//_______________________________________________________________________
inline void ReadGhost_Upstream_TMVA::InitTransform_1()
{
   // Normalization transformation, initialisation
   fMin_1[0][0] = 172.490005493;
   fMax_1[0][0] = 4699438.5;
   fMin_1[1][0] = 208.649993896;
   fMax_1[1][0] = 4970293.5;
   fMin_1[2][0] = 172.490005493;
   fMax_1[2][0] = 4970293.5;
   fMin_1[0][1] = 0.832938909531;
   fMax_1[0][1] = 945470.625;
   fMin_1[1][1] = 7.72294712067;
   fMax_1[1][1] = 995273.875;
   fMin_1[2][1] = 0.832938909531;
   fMax_1[2][1] = 995273.875;
   fMin_1[0][2] = 0.00302399252541;
   fMax_1[0][2] = 2.999573946;
   fMin_1[1][2] = 0.00486037321389;
   fMax_1[1][2] = 2.99956655502;
   fMin_1[2][2] = 0.00302399252541;
   fMax_1[2][2] = 2.999573946;
   fMin_1[0][3] = 4;
   fMax_1[0][3] = 26;
   fMin_1[1][3] = 4;
   fMax_1[1][3] = 28;
   fMin_1[2][3] = 4;
   fMax_1[2][3] = 28;
   fMin_1[0][4] = -99.6241531372;
   fMax_1[0][4] = -0.319228202105;
   fMin_1[1][4] = -50.1410293579;
   fMax_1[1][4] = -0.326956540346;
   fMin_1[2][4] = -99.6241531372;
   fMax_1[2][4] = -0.319228202105;
   fMin_1[0][5] = 0.0671951547265;
   fMax_1[0][5] = 1;
   fMin_1[1][5] = 0.0317582078278;
   fMax_1[1][5] = 1;
   fMin_1[2][5] = 0.0317582078278;
   fMax_1[2][5] = 1;
   fMin_1[0][6] = -999;
   fMax_1[0][6] = 4999.17285156;
   fMin_1[1][6] = -999;
   fMax_1[1][6] = 4999.73632812;
   fMin_1[2][6] = -999;
   fMax_1[2][6] = 4999.73632812;
   fMin_1[0][7] = 2.50487555604e-05;
   fMax_1[0][7] = 50.0615081787;
   fMin_1[1][7] = 7.07881335984e-05;
   fMax_1[1][7] = 51.0802001953;
   fMin_1[2][7] = 2.50487555604e-05;
   fMax_1[2][7] = 51.0802001953;
   fMin_1[0][8] = 1;
   fMax_1[0][8] = 23;
   fMin_1[1][8] = 1;
   fMax_1[1][8] = 24;
   fMin_1[2][8] = 1;
   fMax_1[2][8] = 24;
   fMin_1[0][9] = 0;
   fMax_1[0][9] = 1;
   fMin_1[1][9] = 0;
   fMax_1[1][9] = 1;
   fMin_1[2][9] = 0;
   fMax_1[2][9] = 1;
   fMin_1[0][10] = 0;
   fMax_1[0][10] = 1;
   fMin_1[1][10] = 0;
   fMax_1[1][10] = 1;
   fMin_1[2][10] = 0;
   fMax_1[2][10] = 1;
   fMin_1[0][11] = 0;
   fMax_1[0][11] = 1;
   fMin_1[1][11] = 0;
   fMax_1[1][11] = 1;
   fMin_1[2][11] = 0;
   fMax_1[2][11] = 1;
   fMin_1[0][12] = 0;
   fMax_1[0][12] = 1;
   fMin_1[1][12] = 0;
   fMax_1[1][12] = 1;
   fMin_1[2][12] = 0;
   fMax_1[2][12] = 1;
   fMin_1[0][13] = 0;
   fMax_1[0][13] = 1;
   fMin_1[1][13] = 0;
   fMax_1[1][13] = 1;
   fMin_1[2][13] = 0;
   fMax_1[2][13] = 1;
   fMin_1[0][14] = -999;
   fMax_1[0][14] = 89.5529022217;
   fMin_1[1][14] = -999;
   fMax_1[1][14] = 107.511299133;
   fMin_1[2][14] = -999;
   fMax_1[2][14] = 107.511299133;
   fMin_1[0][15] = -999;
   fMax_1[0][15] = 56.9458999634;
   fMin_1[1][15] = -999;
   fMax_1[1][15] = 69.573600769;
   fMin_1[2][15] = -999;
   fMax_1[2][15] = 69.573600769;
   fMin_1[0][16] = -999;
   fMax_1[0][16] = 62.6918983459;
   fMin_1[1][16] = -999;
   fMax_1[1][16] = 99.5278015137;
   fMin_1[2][16] = -999;
   fMax_1[2][16] = 99.5278015137;
   fMin_1[0][17] = -999;
   fMax_1[0][17] = 42.5912017822;
   fMin_1[1][17] = -999;
   fMax_1[1][17] = 62.6166000366;
   fMin_1[2][17] = -999;
   fMax_1[2][17] = 62.6166000366;
   fMin_1[0][18] = -999;
   fMax_1[0][18] = 43.7248001099;
   fMin_1[1][18] = -999;
   fMax_1[1][18] = 47.8530006409;
   fMin_1[2][18] = -999;
   fMax_1[2][18] = 47.8530006409;
   fMin_1[0][19] = 0;
   fMax_1[0][19] = 1;
   fMin_1[1][19] = 0;
   fMax_1[1][19] = 1;
   fMin_1[2][19] = 0;
   fMax_1[2][19] = 1;
   fMin_1[0][20] = -999;
   fMax_1[0][20] = 4.79148387909;
   fMin_1[1][20] = -999;
   fMax_1[1][20] = 4.79148387909;
   fMin_1[2][20] = -999;
   fMax_1[2][20] = 4.79148387909;
   fMin_1[0][21] = 0.486891388893;
   fMax_1[0][21] = 5.4943819046;
   fMin_1[1][21] = 0.522471904755;
   fMax_1[1][21] = 3.93258428574;
   fMin_1[2][21] = 0.486891388893;
   fMax_1[2][21] = 5.4943819046;
}

//_______________________________________________________________________
inline void ReadGhost_Upstream_TMVA::Transform_1( std::vector<double>& iv, int cls) const
{
   // Normalization transformation
   if (cls < 0 || cls > 2) {
   if (2 > 1 ) cls = 2;
      else cls = 2;
   }
   const int nVar = 22;

   // get indices of used variables

   // define the indices of the variables which are transformed by this transformation
   std::vector<int> indicesGet;
   std::vector<int> indicesPut;

   indicesGet.push_back( 0);
   indicesGet.push_back( 1);
   indicesGet.push_back( 2);
   indicesGet.push_back( 3);
   indicesGet.push_back( 4);
   indicesGet.push_back( 5);
   indicesGet.push_back( 6);
   indicesGet.push_back( 7);
   indicesGet.push_back( 8);
   indicesGet.push_back( 9);
   indicesGet.push_back( 10);
   indicesGet.push_back( 11);
   indicesGet.push_back( 12);
   indicesGet.push_back( 13);
   indicesGet.push_back( 14);
   indicesGet.push_back( 15);
   indicesGet.push_back( 16);
   indicesGet.push_back( 17);
   indicesGet.push_back( 18);
   indicesGet.push_back( 19);
   indicesGet.push_back( 20);
   indicesGet.push_back( 21);
   indicesPut.push_back( 0);
   indicesPut.push_back( 1);
   indicesPut.push_back( 2);
   indicesPut.push_back( 3);
   indicesPut.push_back( 4);
   indicesPut.push_back( 5);
   indicesPut.push_back( 6);
   indicesPut.push_back( 7);
   indicesPut.push_back( 8);
   indicesPut.push_back( 9);
   indicesPut.push_back( 10);
   indicesPut.push_back( 11);
   indicesPut.push_back( 12);
   indicesPut.push_back( 13);
   indicesPut.push_back( 14);
   indicesPut.push_back( 15);
   indicesPut.push_back( 16);
   indicesPut.push_back( 17);
   indicesPut.push_back( 18);
   indicesPut.push_back( 19);
   indicesPut.push_back( 20);
   indicesPut.push_back( 21);

   std::vector<double> dv(nVar);
   for (int ivar=0; ivar<nVar; ivar++) dv[ivar] = iv[indicesGet.at(ivar)];
   for (int ivar=0;ivar<22;ivar++) {
      double offset = fMin_1[cls][ivar];
      double scale  = 1.0/(fMax_1[cls][ivar]-fMin_1[cls][ivar]);
      iv[indicesPut.at(ivar)] = (dv[ivar]-offset)*scale * 2 - 1;
   }
}

//_______________________________________________________________________
inline void ReadGhost_Upstream_TMVA::InitTransform()
{
   InitTransform_1();
}

//_______________________________________________________________________
inline void ReadGhost_Upstream_TMVA::Transform( std::vector<double>& iv, int sigOrBgd ) const
{
   Transform_1( iv, sigOrBgd );
}