classifiers/nb-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 "../hash/nps_vocab.c"
#include "nb.c"

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
double	addMarginal = 1
double	addConditional = 1
int	use_wb = 0
char	usage []

---

Detailed Description

Author: Andrew Schein -*- c++ -*-

nb-learn is the command line executable that trains naive Bayes models. Its full usage is:

nb-learn [options] model_directory file
Options include:
[-h|--help] print this message and exit
[-a|--add=]<value> set count to add for laplace smoothing of both
P(c) and P(f_i|c)
[-m|--addMarginal=]<value> set count to add for laplace smoothing of P(c)
[-c|--addConditional=]<value> set count to add for laplace smoothing of P(f_i|c)
[-w|--wittenBell] use Witten-Bell smoothing instead of laplace
smoothing (-a, -c, -m ignored)

---

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

double addConditional = 1

double addMarginal = 1

char usage[]

Initial value:

 "usage: %s [options] model_directory file\n"
  "Release: " HGVERSION "\n"
  "Options include:\n"
  "[-h|--help] print this message and exit\n"
  "[-a|--add=]<value> set count to add for laplace smoothing of both\n"
  "                   P(c) and P(f_i|c)\n"
  "[-m|--addMarginal=]<value> set count to add for laplace smoothing of P(c)\n"
  "[-c|--addConditional=]<value> set count to add for laplace smoothing of P(f_i|c)\n"
  "[-w|--wittenBell] use Witten-Bell smoothing instead of laplace\n"
  "                  smoothing (-a, -c, -m ignored)\n"

int use_wb = 0