#include "libMSVMMaj.h" #define MINARGS 2 void print_null(const char *s) {} void exit_with_help(); void parse_command_line(int argc, char **argv, struct Model *model, char *input_filename, char *output_filename); void exit_with_help() { printf("This is MSVMMaj, version %1.1f\n\n", VERSION); printf("Usage: trainMSVMMaj [options] training_data_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("-o output_file : write output to file\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]; char model_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, model, input_filename, model_filename); // read data file read_data(data, input_filename); // copy dataset parameters to model model->n = data->n; model->m = data->m; model->K = data->K; model->data_file = input_filename; // allocate model and initialize weights allocate_model(model); initialize_weights(data, model); // start training main_loop(model, data); // write_model to file if (check_argv_eq(argc, argv, "-o")) { write_model(model, model_filename); info("Output written to %s\n", model_filename); } // free model and data free_model(model); free_data(data); return 0; } void parse_command_line(int argc, char **argv, struct Model *model, char *input_filename, char *output_filename) { 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) { exit_with_help(); } switch (argv[i-1][1]) { case 'e': model->epsilon = atof(argv[i]); break; case 'k': model->kappa = atof(argv[i]); break; case 'l': model->lambda = atof(argv[i]); break; case 'o': strcpy(output_filename, argv[i]); break; case 'p': model->p = 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]); }