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#include "libMSVMMaj.h"
#define MINARGS 2
void print_null(const char *s) {}
void parse_command_line(int argc, char **argv, char *input_filename, struct Model *model);
void exit_with_help();
void exit_with_help()
{
printf("This is MSVMMaj, version %1.1f\n\n", VERSION);
printf("Usage: trainMSVMMaj [options] training_data_file [output_file]\n");
printf("Options:\n");
printf("-c folds : perform cross validation with given number of folds\n");
printf("-e epsilon : set the value of the stopping criterion\n");
printf("-h | -help : print this help.\n");
printf("-k kappa : set the value of kappa used in the Huber hinge\n");
printf("-l lambda : set the value of lambda (lambda > 0)\n");
printf("-p p-value : set the value of p in the lp norm (1.0 <= p <= 2.0)\n");
printf("-q : quiet mode (no output)\n");
printf("-r rho : choose the weigth specification (1 = unit, 2 = group)\n");
exit(0);
}
/*
Main
*/
int main(int argc, char **argv)
{
char input_filename[MAX_LINE_LENGTH];
struct Model *model = Malloc(struct Model, 1);
struct Data *data = Malloc(struct Data, 1);
if (argc < MINARGS || check_argv(argc, argv, "-help") || check_argv_eq(argc, argv, "-h") ) {
exit_with_help();
}
parse_command_line(argc, argv, input_filename, model);
// read data and allocate all memory for the model
read_data(data, model, input_filename);
allocate_model(model);
initialize_weights(data, model);
main_loop(model, data);
// free model and data
free_model(model);
free_data(data);
return 0;
}
void parse_command_line(int argc, char **argv, char *input_filename, struct Model *model)
{
int i;
void (*print_func)(const char*) = NULL;
// default values
model->p = 1.0;
model->lambda = pow(2, -8.0);
model->epsilon = 1e-6;
model->kappa = 0.0;
model->weight_idx = 1;
// parse options
for (i=1; i<argc; i++) {
if (argv[i][0] != '-') break;
if (++i>=argc) {
exit_with_help();
}
switch (argv[i-1][1]) {
case 'p':
model->p = atof(argv[i]);
break;
case 'l':
model->lambda = atof(argv[i]);
break;
case 'e':
model->epsilon = atof(argv[i]);
break;
case 'k':
model->kappa = atof(argv[i]);
break;
case 'r':
model->weight_idx = atoi(argv[i]);
break;
case 'q':
print_func = &print_null;
i--;
break;
default:
fprintf(stderr, "Unknown option: -%c\n", argv[i-1][1]);
exit_with_help();
}
}
// set print function
set_print_string_function(print_func);
// read input filename
if (i >= argc)
exit_with_help();
strcpy(input_filename, argv[i]);
}
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