mlp_gen.h

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#ifndef __private_mlp_gen_h
#define __private_mlp_gen_h

#if defined(__GNUC__) && (__GNUC__ > 3 || __GNUC__ == 3 && __GNUC_MINOR__ >= 4)
#   define MLP_HIDDEN __attribute__((visibility("hidden")))
#endif

#ifdef __cplusplus
extern "C" {
#endif

typedef double dbl;
typedef double type_pat;

/* definition du reseau */
extern struct net_
{
  int Nlayer, *Nneur, Nweights;
  dbl ***Weights;
  dbl **vWeights;
  dbl **Deriv1, **Inn, **Outn, **Delta;
  int **T_func;
  int Rdwt, Debug;
} net_ MLP_HIDDEN;
#define NET net_   

/* apprentissage */
extern struct learn_
{
    int Nepoch, Meth, Nreset;
    dbl Tau,Norm,Decay,Lambda,Alambda;
    dbl eta, epsilon, delta;
    dbl ***Odw;
    dbl ***DeDw, ***ODeDw;
} learn_ MLP_HIDDEN;
#define LEARN learn_

extern struct pat_
{
    int Npat[2], Iponde, Nin, Nout;
    type_pat ***Rin, ***Rans, **Pond;
    type_pat **vRin; 
    dbl Ponds[10];
} pat_ MLP_HIDDEN;
#define PAT pat_

extern struct divers_
{
    int Dbin;
    int Ihess;
    int Norm, Stat;
    char Outf;
} divers_ MLP_HIDDEN;
#define DIVERS divers_  

extern struct stat_
{
    dbl *mean,*sigma;
} stat_ MLP_HIDDEN;
#define STAT stat_
    
extern int MessLang MLP_HIDDEN;
extern int OutputWeights MLP_HIDDEN;
extern int ExamplesMemory MLP_HIDDEN;
extern int WeightsMemory MLP_HIDDEN;
extern int PatMemory[2] MLP_HIDDEN;
extern int BFGSMemory MLP_HIDDEN;
extern int JacobianMemory MLP_HIDDEN;
extern int LearnMemory MLP_HIDDEN;
extern int NetMemory MLP_HIDDEN;
extern float MLPfitVersion MLP_HIDDEN;
extern dbl LastAlpha MLP_HIDDEN;
extern int NLineSearchFail MLP_HIDDEN;

extern dbl ***dir MLP_HIDDEN;
extern dbl *delta MLP_HIDDEN;
extern dbl **BFGSH MLP_HIDDEN;
extern dbl *Gamma MLP_HIDDEN;
extern dbl **JacobianMatrix MLP_HIDDEN;
extern int *ExamplesIndex MLP_HIDDEN;
extern dbl **Hessian MLP_HIDDEN;

extern void     MLP_Out(type_pat *rrin, dbl *rrout) MLP_HIDDEN;
extern void     MLP_Out2(type_pat *rrin) MLP_HIDDEN;
extern void     MLP_Out_T(type_pat *rrin) MLP_HIDDEN;
extern dbl      MLP_Test(int ifile, int regul) MLP_HIDDEN;
extern dbl  MLP_Epoch(int iepoch, dbl *alpmin, int *ntest) MLP_HIDDEN;
extern int  MLP_Train(int *ipat,dbl *err) MLP_HIDDEN;
extern dbl  MLP_Stochastic() MLP_HIDDEN;
    
extern int  StochStep() MLP_HIDDEN;

extern dbl  DeDwNorm() MLP_HIDDEN;
extern dbl  DeDwProd() MLP_HIDDEN;
extern void     DeDwZero() MLP_HIDDEN;
extern void     DeDwSaveZero() MLP_HIDDEN;
extern void     DeDwScale(int Nexamples) MLP_HIDDEN;
extern void     DeDwSave() MLP_HIDDEN;
extern int  DeDwSum(type_pat *ans, dbl *out, int ipat) MLP_HIDDEN;

extern int  SetTransFunc(int layer, int neuron, int func) MLP_HIDDEN;
extern void     SetDefaultFuncs() MLP_HIDDEN;

extern void     SteepestDir() MLP_HIDDEN;
extern void     CGDir(dbl beta) MLP_HIDDEN;
extern dbl  DerivDir() MLP_HIDDEN;
extern void     GetGammaDelta() MLP_HIDDEN;
extern void     BFGSdir(int Nweights) MLP_HIDDEN;
extern void     InitBFGSH(int Nweights) MLP_HIDDEN;
extern int  GetBFGSH(int Nweights) MLP_HIDDEN;

extern int  LineSearch(dbl *alpmin, int *Ntest, dbl Err0) MLP_HIDDEN;
extern int  DecreaseSearch(dbl *alpmin, int *Ntest, dbl Err0) MLP_HIDDEN;
extern void     MLP_ResLin() MLP_HIDDEN;
extern void     MLP_Line(dbl ***w0, dbl alpha) MLP_HIDDEN;
extern int  LineSearchHyb(dbl *alpmin, int *Ntest) MLP_HIDDEN;
extern void     MLP_LineHyb(dbl ***w0, dbl alpha) MLP_HIDDEN;
extern int  StochStepHyb() MLP_HIDDEN;
extern int  FixedStep(dbl alpha) MLP_HIDDEN;

extern void     EtaDecay() MLP_HIDDEN;
extern int  ShuffleExamples(int n, int *index) MLP_HIDDEN;
extern double   MLP_Rand(dbl min, dbl max) MLP_HIDDEN;
extern void InitWeights() MLP_HIDDEN;
extern int  NormalizeInputs() MLP_HIDDEN;
extern int  MLP_StatInputs(int Nexamples, int Ninputs, type_pat **inputs, 
        dbl *mean, dbl *sigma, dbl *minimum, dbl *maximum) MLP_HIDDEN;  
extern int  MLP_PrintInputStat() MLP_HIDDEN;

extern int  LoadWeights(char *filename, int *iepoch) MLP_HIDDEN;
extern int  SaveWeights(char *filename, int iepoch) MLP_HIDDEN;

extern void     SetLambda(double Wmax) MLP_HIDDEN;
extern void     PrintWeights() MLP_HIDDEN;
extern int  ReadPatterns(char *filename, int ifile, 
             int *inet, int *ilearn, int *iexamples) MLP_HIDDEN;
extern int  CountLexemes(char *string) MLP_HIDDEN;
extern void     getnLexemes(int n, char *s, char **ss) MLP_HIDDEN;
extern void     getLexemes(char *s,char **ss) MLP_HIDDEN;
extern int      LearnAlloc() MLP_HIDDEN;
extern void     LearnFree() MLP_HIDDEN;
extern int      MLP_PrFFun(char *filename) MLP_HIDDEN;
extern int      MLP_PrCFun(char *filename) MLP_HIDDEN;
extern int  AllocPatterns(int ifile, int npat, int nin, int nout, int iadd) MLP_HIDDEN;
extern int  FreePatterns(int ifile) MLP_HIDDEN;
extern void     AllocWeights() MLP_HIDDEN;
extern void FreeWeights() MLP_HIDDEN;
extern int  AllocNetwork(int Nlayer, int *Neurons) MLP_HIDDEN;
extern void FreeNetwork() MLP_HIDDEN;
extern int  GetNetStructure(char *s, int *Nlayer, int *Nneur) MLP_HIDDEN;
extern int  MLP_SetNet(int *nl, int *nn) MLP_HIDDEN;

extern void     MLP_MM2rows(dbl* c, type_pat* a, dbl* b,
                int Ni, int Nj, int Nk, int NaOffs, int NbOffs) MLP_HIDDEN;
extern void     MLP_MatrixVector(dbl *M, type_pat *v, dbl *r, int n, 
                int m) MLP_HIDDEN;
extern void     MLP_MatrixVectorBias(dbl *M, dbl *v, dbl *r, int n,
                 int m) MLP_HIDDEN;

#ifdef __cplusplus
} // extern "C"
#endif

#endif // __private_mlp_gen_h