xcsf/pred__neural_8h_source.html

/*

 * This program is free software: you can redistribute it and/or modify

 * it under the terms of the GNU General Public License as published by

 * the Free Software Foundation, either version 3 of the License, or

 * (at your option) any later version.

 *

 * This program is distributed in the hope that it will be useful,

 * but WITHOUT ANY WARRANTY; without even the implied warranty of

 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

 * GNU General Public License for more details.

 *

 * You should have received a copy of the GNU General Public License

 * along with this program.  If not, see <http://www.gnu.org/licenses/>.

 */


#pragma once


#include "neural.h"

#include "neural_activations.h"

#include "neural_layer.h"

#include "prediction.h"

#include "xcsf.h"


struct PredNeural {

    struct Net net;

};


void

pred_neural_param_defaults(struct XCSF *xcsf);


char *

pred_neural_param_json_import(struct XCSF *xcsf, cJSON *json);


bool

pred_neural_crossover(const struct XCSF *xcsf, const struct Cl *c1,

                      const struct Cl *c2);


bool

pred_neural_mutate(const struct XCSF *xcsf, const struct Cl *c);


double

pred_neural_eta(const struct XCSF *xcsf, const struct Cl *c, const int layer);


int

pred_neural_connections(const struct XCSF *xcsf, const struct Cl *c,

                        const int layer);


int

pred_neural_layers(const struct XCSF *xcsf, const struct Cl *c);


int

pred_neural_neurons(const struct XCSF *xcsf, const struct Cl *c,

                    const int layer);


double

pred_neural_size(const struct XCSF *xcsf, const struct Cl *c);


size_t

pred_neural_load(const struct XCSF *xcsf, struct Cl *c, FILE *fp);


size_t

pred_neural_save(const struct XCSF *xcsf, const struct Cl *c, FILE *fp);


void

pred_neural_compute(const struct XCSF *xcsf, const struct Cl *c,

                    const double *x);


void

pred_neural_copy(const struct XCSF *xcsf, struct Cl *dest,

                 const struct Cl *src);


void

pred_neural_free(const struct XCSF *xcsf, const struct Cl *c);


void

pred_neural_init(const struct XCSF *xcsf, struct Cl *c);


void

pred_neural_print(const struct XCSF *xcsf, const struct Cl *c);


void

pred_neural_update(const struct XCSF *xcsf, const struct Cl *c, const double *x,

                   const double *y);


void

pred_neural_expand(const struct XCSF *xcsf, const struct Cl *c);


void

pred_neural_ae_to_classifier(const struct XCSF *xcsf, const struct Cl *c,

                             const int n_del);


char *

pred_neural_json_export(const struct XCSF *xcsf, const struct Cl *c);


void

pred_neural_json_import(const struct XCSF *xcsf, struct Cl *c,

                        const cJSON *json);


static struct PredVtbl const pred_neural_vtbl = {

    &pred_neural_crossover,  &pred_neural_mutate, &pred_neural_compute,

    &pred_neural_copy,       &pred_neural_free,   &pred_neural_init,

    &pred_neural_print,      &pred_neural_update, &pred_neural_size,

    &pred_neural_save,       &pred_neural_load,   &pred_neural_json_export,

    &pred_neural_json_import

};


xcsf
Definition __init__.py:1

neural.h
An implementation of a multi-layer perceptron neural network.

neural_activations.h
Neural network activation functions.

neural_layer.h
Interface for neural network layers.

pred_neural_param_json_import
char * pred_neural_param_json_import(struct XCSF *xcsf, cJSON *json)
Sets the neural network parameters from a cJSON object.
Definition pred_neural.c:465

pred_neural_layers
int pred_neural_layers(const struct XCSF *xcsf, const struct Cl *c)
Returns the number of layers within a neural network prediction.
Definition pred_neural.c:292

pred_neural_mutate
bool pred_neural_mutate(const struct XCSF *xcsf, const struct Cl *c)
Mutates a neural network prediction.
Definition pred_neural.c:153

pred_neural_save
size_t pred_neural_save(const struct XCSF *xcsf, const struct Cl *c, FILE *fp)
Writes a neural network prediction to a file.
Definition pred_neural.c:183

pred_neural_connections
int pred_neural_connections(const struct XCSF *xcsf, const struct Cl *c, const int layer)
Returns the number of active connections in a neural prediction layer.
Definition pred_neural.c:268

pred_neural_compute
void pred_neural_compute(const struct XCSF *xcsf, const struct Cl *c, const double *x)
Forward propagates a neural network prediction with a provided input.
Definition pred_neural.c:106

pred_neural_print
void pred_neural_print(const struct XCSF *xcsf, const struct Cl *c)
Prints a neural network prediction.
Definition pred_neural.c:122

pred_neural_free
void pred_neural_free(const struct XCSF *xcsf, const struct Cl *c)
Frees the memory used by a neural network prediction.
Definition pred_neural.c:58

pred_neural_init
void pred_neural_init(const struct XCSF *xcsf, struct Cl *c)
Creates and initialises a neural network prediction.
Definition pred_neural.c:45

pred_neural_neurons
int pred_neural_neurons(const struct XCSF *xcsf, const struct Cl *c, const int layer)
Returns the number of neurons in a neural prediction layer.
Definition pred_neural.c:240

pred_neural_ae_to_classifier
void pred_neural_ae_to_classifier(const struct XCSF *xcsf, const struct Cl *c, const int n_del)
Removes prediction (decoder) layers and inserts softmax output layer.
Definition pred_neural.c:349

pred_neural_json_import
void pred_neural_json_import(const struct XCSF *xcsf, struct Cl *c, const cJSON *json)
Creates a neural prediction from a cJSON object.
Definition pred_neural.c:414

pred_neural_copy
void pred_neural_copy(const struct XCSF *xcsf, struct Cl *dest, const struct Cl *src)
Copies a neural network prediction from one classifier to another.
Definition pred_neural.c:73

pred_neural_vtbl
static struct PredVtbl const pred_neural_vtbl
Multi-layer perceptron neural network prediction implemented functions.
Definition pred_neural.h:114

pred_neural_expand
void pred_neural_expand(const struct XCSF *xcsf, const struct Cl *c)
Creates and inserts a hidden layer before the prediction output layer.
Definition pred_neural.c:306

pred_neural_eta
double pred_neural_eta(const struct XCSF *xcsf, const struct Cl *c, const int layer)
Returns the gradient descent rate of a neural prediction layer.
Definition pred_neural.c:216

pred_neural_update
void pred_neural_update(const struct XCSF *xcsf, const struct Cl *c, const double *x, const double *y)
Backward propagates and updates a neural network prediction.
Definition pred_neural.c:91

pred_neural_crossover
bool pred_neural_crossover(const struct XCSF *xcsf, const struct Cl *c1, const struct Cl *c2)
Dummy function since neural predictions do not perform crossover.
Definition pred_neural.c:137

pred_neural_size
double pred_neural_size(const struct XCSF *xcsf, const struct Cl *c)
Returns the size of a neural network prediction.
Definition pred_neural.c:168

pred_neural_param_defaults
void pred_neural_param_defaults(struct XCSF *xcsf)
Initialises default neural prediction parameters.
Definition pred_neural.c:431

pred_neural_load
size_t pred_neural_load(const struct XCSF *xcsf, struct Cl *c, FILE *fp)
Reads a neural network prediction from a file.
Definition pred_neural.c:199

pred_neural_json_export
char * pred_neural_json_export(const struct XCSF *xcsf, const struct Cl *c)
Returns a json formatted string representation of a neural prediction.
Definition pred_neural.c:392

prediction.h
Interface for classifier predictions.

Cl
Classifier data structure.
Definition xcsf.h:45

Net
Neural network data structure.
Definition neural.h:48

PredNeural
Multi-layer perceptron neural network prediction data structure.
Definition pred_neural.h:35

PredNeural::net
struct Net net
Neural network.
Definition pred_neural.h:36

PredVtbl
Prediction interface data structure.
Definition prediction.h:96

XCSF
XCSF data structure.
Definition xcsf.h:85

xcsf.h
XCSF data structures.