copy of adaboost_common.h

it is an adaboost weak learner

#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 <stdio.h>
# include <ctype.h>
# include <math.h>
# include <string.h>
# include <stdlib.h>
# include <time.h> 
# include <float.h>
# 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;

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*);
int weakLearner(Matrix*, Matrix*, Matrix*,long,long, int, int*, int*);
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();
int isnan(double);
void printe(char* str);
void printm(char* str);
#endif // !defined(AFX_TEST_H__B678A414_54CC_480B_8068_4FAEED66F002__INCLUDED_)