www.pudn.com > AdaBoost_weaklearner_1.rar > Adaboost_common.h

#if !defined(AFX_TEST_H__B678A414_54CC_480B_8068_4FAEED66F002__INCLUDED_) 
#define AFX_TEST_H__B678A414_54CC_480B_8068_4FAEED66F002__INCLUDED_ 
 
#if _MSC_VER > 1000 
#pragma once 
#endif // _MSC_VER > 1000 
/* # define MICROSOFT */ 
 
# include  
# include  
# include  
# include  
# include  
# include   
# include  
# include "matrix.h" 
 
# define VERSION       "V1.0" 
# define VERSION_DATE  "11.5.03" 
 
# define CFLOAT  float       /* the type of float to use for caching */ 
/* kernel evaluations. Using float saves */ 
/* us some memory, but you can use double, too */ 
# define FNUM    long        /* the type used for storing feature ids */ 
# define FVAL    float       /* the type used for storing feature values */ 
 
# define LINEAR  0           /* linear kernel type */ 
# define POLY    1           /* polynoial kernel type */ 
 
typedef struct word 
{ 
	FNUM    wnum;	 
	FVAL    weight; 
} SVM_WORD; 
 
typedef struct doc 
{ 
	long    docnum; 
	double  twonorm_sq; 
	SVM_WORD    *words; 
} DOC; 
 
typedef struct adaboost_parm  
{ 
	 
} ADABBOST_PARM; 
 
typedef struct adaboostResults  
{ 
	//long    sv_num;	 
	//long    at_upper_bound; 
	//double  b; 
	DOC     **supvec; 
	//double  *alpha; 
	//long    *index;       /* index from docnum to position in model */ 
	long    totwords;     /* number of features */ 
	long    totdoc;       /* number of training documents */ 
	//KERNEL_PARM kernel_parm; /* kernel */ 
	 
	/* the following values are not written to file */ 
	//double  loo_error,loo_recall,loo_precision; /* leave-one-out estimates */ 
	//double  xa_error,xa_recall,xa_precision;    /* xi/alpha estimates */ 
	//double  *lin_weights;  	/* weights for linear case using folding */ 
} RESULTS; 
afx_msg void OnPaint (); 
int read_documents(char *, DOC *, long *, long, long, long *, long *); 
int read_train_file(char *,long,long,long, Matrix*,Matrix*); 
int read_test_file(char *,long,long,long,Matrix*,Matrix*); 
int adaBoost(Matrix*,Matrix*,long,long,int,int,Matrix*,Matrix*,Matrix*,double); 
int weakLearner(Matrix*, Matrix*,Matrix*,Matrix*, Matrix,long,long, int, int*, int*,int,int,double); 
int getError(Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,long, long,int,int); 
int parse_dataset(char *, long *, long *, long); 
int parse_document(char *, DOC *, long *, long *, long); 
int nol_ll(char *file,long *nol,long *wol,long *ll); 
long get_runtime(); 
void *my_malloc(long);  
void copyright_notice(); 
void  SetInitParam(); 
int isnan(double); 
void printe(char* str); 
void printm(char* str); 
#endif // !defined(AFX_TEST_H__B678A414_54CC_480B_8068_4FAEED66F002__INCLUDED_)