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Adding most important features' extraction function

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This commit is contained in:
Abdel Kader Chabi Sika Boni 2021-12-02 00:25:10 +01:00
parent 3245044e4e
commit 1a9d81025d
2 changed files with 24 additions and 32 deletions
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27
main.c
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@ -6,22 +6,13 @@
#include "network.h" #include "network.h"
#include "activations.h" #include "activations.h"
#include "training.h" #include "training.h"
#include "preprocessing.h"
int main(int argc, char *argv[]) int main(int argc, char *argv[])
{ {
init_randomness(); init_randomness();
printf("Bonjour et bienvenu ;)\n"); printf("Bonjour et bienvenu ;)\n");
/*int i;
for(i=1 ; i<= 30 ; i++)
{
printf("%dth generated fload = %f\n", i, random_float(0.0 , 1.0));
}
printf("sigmoid(%f) = %f\n",0.5, sigmoid(0.5));
printf("sigmoid_derivative(%f) = %f\n",0.8, sigmoid_derivative(0.8));
float a=5.0;
printf("%f\n", (float)exp((double)a));*/
/*int n_neurons[] = {15,120,220,120,200,25}; /*int n_neurons[] = {15,120,220,120,200,25};
char *activations[] = {"relu","relu","relu","relu","relu","relu"}; char *activations[] = {"relu","relu","relu","relu","relu","relu"};
@ -29,20 +20,8 @@ int main(int argc, char *argv[])
print_network(net); print_network(net);
destroy_network(net);*/ destroy_network(net);*/
FILE *file = fopen("mydata.csv", "r"); /*Data *data = csv_to_samples("mydata.csv", ",", 70.0, "yes", 3);
char line[100]; destroy_data(data);*/
if(file != NULL)
{
while(fgets(line, 100, file) != NULL)
{
//line[strlen(line)-1] = (char)"";
printf("%s", line);
}
fclose(file);
}else
{
printf("Unable to open the file\n");
}
return 0; return 0;
} }

29
preprocessing.c
View file

@ -1,5 +1,6 @@
#include <stdio.h> #include <stdio.h>
#include <stdlib.h> #include <stdlib.h>
#include <string.h>
#include "preprocessing.h" #include "preprocessing.h"
Feature *init_feature(float value) Feature *init_feature(float value)
@ -75,21 +76,33 @@ void destroy_data(Data *data)
Data *csv_to_samples(char *path_to_csv, char *features_separator, float train_percent, char *apply_onthot_encode, int n_classes) Data *csv_to_samples(char *path_to_csv, char *features_separator, float train_percent, char *apply_onthot_encode, int n_classes)
{ {
Data *data = init_data(); Data *data = init_data();
/*FILE *file; FILE *file = fopen(path_to_csv, "r");
char *chaine; char line[100], *dup;
file = fopen(path_to_csv, "r"); char *token;
//float val;
if(file != NULL) if(file != NULL)
{ {
while(fgets(chaine, 30, file) != NULL) while(fgets(line, 100, file) != NULL)
{ {
printf("%s", chaine); dup = strtok(line, "\n"); //extracting line content without '\n'
token = strtok(dup, features_separator);
while(token != NULL)
{
printf("current token = %s\n", token);
token = strtok(NULL, features_separator);
}
printf("----------------\n");
} }
}*/ fclose(file);
//TODO : complete }else
{
printf("Unable to open the file\n");
exit(-1);
}
return data; return data;
} }
void print_data(const Data *data) void print_data(const Data *data)
{ {
printf("Hello"); printf("Hello\n");
} }