/*
Fast Artificial Neural Network Library (fann)
Copyright (C) 2003 Steffen Nissen (lukesky@diku.dk)
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library 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
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
#include <stdio.h>
#include "fixedfann.h"
int main(int argc, char* argv[])
{
struct fann_train_data *train_data, *test_data;
FILE *train_out, *test_out;
struct fann *ann;
float train_error, test_error;
unsigned int i, j;
unsigned int epochs = 0;
double total_elapsed = 0;
char file[256];
if(argc < 6){
printf("usage %s train_file test_file train_file_out test_file_out fixed_conf_files\n", argv[0]);
return -1;
}
if(strlen(argv[3]) == 1 && argv[3][0] == '-'){
train_out = stdout;
}else{
train_out = fopen(argv[3], "w");
}
if(strlen(argv[4]) == 1 && argv[4][0] == '-'){
test_out = stdout;
}else{
test_out = fopen(argv[4], "w");
}
fprintf(stderr, "Quality test of fixed point ");
for(j = 5; j < argc; j++){
ann = fann_create_from_file(argv[j]);
sprintf(file, "%s_%d", argv[1], fann_get_decimal_point(ann));
train_data = fann_read_train_from_file(file);
sprintf(file, "%s_%d", argv[2], fann_get_decimal_point(ann));
test_data = fann_read_train_from_file(file);
fann_reset_MSE(ann);
for(i = 0; i != train_data->num_data; i++){
fann_test(ann, train_data->input[i], train_data->output[i]);
}
train_error = fann_get_MSE(ann);
fann_reset_MSE(ann);
for(i = 0; i != test_data->num_data; i++){
fann_test(ann, test_data->input[i], test_data->output[i]);
}
test_error = fann_get_MSE(ann);
sscanf(argv[j], "%d_%lf", &epochs, &total_elapsed);
fprintf(train_out, "%f %.20e %d\n", total_elapsed, train_error, epochs);
fprintf(test_out, "%f %.20e %d\n", total_elapsed, test_error, epochs);
fprintf(stderr, ".");
fann_destroy(ann);
}
fprintf(stderr, "\n");
return 0;
}