www.pudn.com > svm_multiClass.rar > svm_struct_api.h

/***********************************************************************/ 
/*                                                                     */ 
/*   svm_struct_api.h                                                  */ 
/*                                                                     */ 
/*   Definition of API for attaching implementing SVM learning of      */ 
/*   structures (e.g. parsing, multi-label classification, HMM)        */  
/*                                                                     */ 
/*   Author: Thorsten Joachims                                         */ 
/*   Date: 03.07.04                                                    */ 
/*                                                                     */ 
/*   Copyright (c) 2004  Thorsten Joachims - All rights reserved       */ 
/*                                                                     */ 
/*   This software is available for non-commercial use only. It must   */ 
/*   not be modified and distributed without prior permission of the   */ 
/*   author. The author is not responsible for implications from the   */ 
/*   use of this software.                                             */ 
/*                                                                     */ 
/***********************************************************************/ 
 
#include "svm_struct_api_types.h" 
#include "svm_struct/svm_struct_common.h" 
 
#ifndef svm_struct_api 
#define svm_struct_api 
 
SAMPLE      read_struct_examples(char *file, STRUCT_LEARN_PARM *sparm); 
void        init_struct_model(SAMPLE sample, STRUCTMODEL *sm,  
			      STRUCT_LEARN_PARM *sparm); 
CONSTSET    init_struct_constraints(SAMPLE sample, STRUCTMODEL *sm,  
				    STRUCT_LEARN_PARM *sparm); 
LABEL       find_most_violated_constraint_slackrescaling(PATTERN x, LABEL y,  
						     STRUCTMODEL *sm,  
						     STRUCT_LEARN_PARM *sparm); 
LABEL       find_most_violated_constraint_marginrescaling(PATTERN x, LABEL y,  
						     STRUCTMODEL *sm,  
						     STRUCT_LEARN_PARM *sparm); 
LABEL       classify_struct_example(PATTERN x, STRUCTMODEL *sm,  
				    STRUCT_LEARN_PARM *sparm); 
int         empty_label(LABEL y); 
SVECTOR     *psi(PATTERN x, LABEL y, STRUCTMODEL *sm,  
	        STRUCT_LEARN_PARM *sparm); 
double      loss(LABEL y, LABEL ybar, STRUCT_LEARN_PARM *sparm); 
void        print_struct_learning_stats(SAMPLE sample, STRUCTMODEL *sm, 
					CONSTSET cset, double *alpha,  
					STRUCT_LEARN_PARM *sparm); 
void        print_struct_testing_stats(SAMPLE sample, STRUCTMODEL *sm, 
				       STRUCT_LEARN_PARM *sparm, 
				       STRUCT_TEST_STATS *teststats); 
void        eval_prediction(long exnum, EXAMPLE ex, LABEL prediction,  
			    STRUCTMODEL *sm, STRUCT_LEARN_PARM *sparm, 
			    STRUCT_TEST_STATS *teststats); 
void        write_struct_model(char *file,STRUCTMODEL *sm,  
			       STRUCT_LEARN_PARM *sparm); 
STRUCTMODEL read_struct_model(char *file, STRUCT_LEARN_PARM *sparm); 
void        write_label(FILE *fp, LABEL y); 
void        free_pattern(PATTERN x); 
void        free_label(LABEL y); 
void        free_struct_model(STRUCTMODEL sm); 
void        free_struct_sample(SAMPLE s); 
void        print_struct_help(); 
void        parse_struct_parameters(STRUCT_LEARN_PARM *sparm); 
 
#endif