classifiers/bkp_Perceptron.c File Reference

#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <assert.h>
#include <stdint.h>
#include "Perceptron.h"
#include "../msg.c"
#include "../bio/mkSfx.c"
#include "../bio/new.c"
#include "../bio/ch2Id.c"
#include "../bio/save.c"
#include "../bio/find.c"
#include "../bio/mapP.c"
#include "../bio/del.c"
#include "../hash/nps_vocab.c"
#include "../imat/InstMatLoL.c"
#include "../hash/Intern.c"
#include "../num/blas/level1/cblas_daxpy.c"
#include "../num/blas/level1/cblas_dscal.c"
#include "../num/permute.c"

Classes
struct	nps_avgperc_t
struct	Nps_PercModel
Functions
struct Nps_PercModel *	nps_newPercModel (nps_error_t *err, struct Nps_Intern *featDict, struct Nps_Intern *labDict, char ignoreBias)
struct Nps_PercModel *	nps_PercModel_FromModelDir (nps_error_t *err, const char *const model_dir)
struct Nps_PercModel *	nps_PercModel_ctor (struct Nps_PercModel *o, nps_error_t *error, va_list *app)
int	nps_PercModel_dtor (struct Nps_PercModel *o, nps_error_t *err)
int	nps_initPercModel (nps_error_t *err)
struct nps_avgperc_t *	perc_model_avg_alloc (int64_t numFeats, int64_t numCats)
void	perc_model_avg_free (struct nps_avgperc_t *o)
double	perc_model_error (struct Nps_PercModel *o, double *test_weights, int64_t biasIndex, struct nps_InstMatLoL *mat)
int	perc_model_binary_train (struct Nps_PercModel *o, nps_error_t *e, struct nps_InstMatLoL *mat, int64_t maxIterations)
int	perc_model_multi_cat_train (struct Nps_PercModel *o, nps_error_t *e, struct nps_InstMatLoL *mat, int64_t maxIterations)
double	nps_PercModel_predict (struct Nps_PercModel *o, s8f8_svec_t *svec)
void	perc_model_del (perc_model_t *o)
int	perc_model_save (struct Nps_PercModel *o, const char *root, nps_error_t *err)
Variables
struct Nps_PercModel *	Nps_PercModel

---

Function Documentation

int nps_initPercModel

(

nps_error_t *

err

)

struct Nps_PercModel* nps_newPercModel	(	nps_error_t *	err,
		struct Nps_Intern *	featDict,
		struct Nps_Intern *	labDict,
		char	ignoreBias
	)			[read]

struct Nps_PercModel* nps_PercModel_ctor	(	struct Nps_PercModel *	o,
		nps_error_t *	error,
		va_list *	app
	)			[read]

int nps_PercModel_dtor	(	struct Nps_PercModel *	o,
		nps_error_t *	err
	)

struct Nps_PercModel* nps_PercModel_FromModelDir	(	nps_error_t *	err,
		const char *const	model_dir
	)			[read]

double nps_PercModel_predict	(	struct Nps_PercModel *	o,
		s8f8_svec_t *	svec
	)

struct nps_avgperc_t* perc_model_avg_alloc	(	int64_t	numFeats,
		int64_t	numCats
	)			[read]

void perc_model_avg_free

(

struct nps_avgperc_t *

o

)

int perc_model_binary_train	(	struct Nps_PercModel *	o,
		nps_error_t *	e,
		struct nps_InstMatLoL *	mat,
		int64_t	maxIterations
	)

perc_model_binary_train implements the training procedure for the averaged perceptron. The averaged perceptron is a variant of the voted perceptron that was introduced in: Freund, Y. and Schapire, R. E. 1999. Large margin classification using the perceptron algorithm. In Machine Learning 37(3):277-296, 1999.

It is a good idea to normalize mat before calling this procedure.

void perc_model_del

(

perc_model_t *

o

)

double perc_model_error	(	struct Nps_PercModel *	o,
		double *	test_weights,
		int64_t	biasIndex,
		struct nps_InstMatLoL *	mat
	)

int perc_model_multi_cat_train	(	struct Nps_PercModel *	o,
		nps_error_t *	e,
		struct nps_InstMatLoL *	mat,
		int64_t	maxIterations
	)

int perc_model_save	(	struct Nps_PercModel *	o,
		const char *	root,
		nps_error_t *	err
	)

---

Variable Documentation

struct Nps_PercModel* Nps_PercModel