adaboost_common.h

adaboost code in matlab

#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"
#include "randomForest.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 randomForest_weakLearner(Matrix*,int,int,int,Matrix*,Matrix*,Matrix*, Matrix*,long,long,long,long,int,int,int,Matrix*,Matrix*,int train_array[],int label_train_array[],int test_array[],int label_test_array[],int);
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*,Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,Matrix*,long,long,long,long,int,int,Matrix*,int train_array[],int label_train_array[],int test_array[],int label_test_array[],double,int,int,int,int,int);
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*,Matrix*,long, long,int,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_)