classifiers/aperc-learn.c File Reference

#include <stdio.h>
#include <unistd.h>
#include <getopt.h>
#include <sys/stat.h>
#include <libgen.h>
#include "../error/error.h"
#include <errno.h>
#include <string.h>
#include "voc_htab32.c"
#include "nps_vocab.h"
#include <stdlib.h>
#include <math.h>
#include <assert.h>
#include <stdint.h>
#include "ImatState.h"
#include "lol.h"
#include "imat_undef.h"
#include "../error/error.h"
#include "../bio/bio.h"
#include "../msg.c"
#include "../bio/mkSfx.c"
#include "bio.h"
#include "ty.c"
#include "x_bio.h"
#include "../bio/ch2Id.c"
#include <limits.h>
#include <sys/types.h>
#include <glob.h>
#include "mkSfx.c"
#include "env.c"
#include "sfx.c"
#include "../bio/find.c"
#include "../bio/mapP.c"
#include <sys/mman.h>
#include "../hash/nps_vocab.c"
#include <stdarg.h>
#include "Object.h"
#include <stddef.h>
#include "error.h"
#include "./stack.c"
#include "ImatState.c"
#include "InstMatLoL.h"
#include "Intern.h"
#include "htab.h"
#include "../backtrace.c"
#include "alloc.h"
#include "string_hash.c"
#include "../cblas.h"
#include "../stdlib/alloc.c"
#include "lol.c"
#include "imat_shared.c"
#include "darray.h"
#include "darray.c"
#include "../hash/Intern.c"
#include "permute.h"
#include "nr_ran.h"

Defines
#define	_GNU_SOURCE
Functions
void	print_usage (FILE *f, char *progname)
int	parse_args (int argc, char **argv)
int	main (int argc, char **argv)
Variables
char	usage []
int	ignoreBias = 0
int64_t	numIterations = 20

---

Define Documentation

#define _GNU_SOURCE

---

Function Documentation

int main	(	int	argc,
		char **	argv
	)

int parse_args	(	int	argc,
		char **	argv
	)

void print_usage	(	FILE *	f,
		char *	progname
	)

---

Variable Documentation

int ignoreBias = 0

int64_t numIterations = 20

char usage[]

Initial value:

 "usage: %s [options] model_directory file\n"
  "Binary perceptron training expects NPSML classifier file format as input.\n"
  "Instance weights are ignored (due to lack of appropriate translation)\n"
  "Options include:\n"
  "[-h|--help]       print this message and exit\n"
  "[-i|--iterations] the maximum number of training iterations (defaults to 20)\n"
  "[-n|--nobias]     bias parameter will be 0.\n"