cbasedann/preprocessing.c

#include <stdio.h>
#include <stdlib.h>
#include "preprocessing.h"

Feature *init_feature(float value)
{
    Feature *feature = (Feature*)malloc(sizeof(Feature));
    feature->value = value;
    feature->next_feature = NULL;

    return feature;
}

OneHotLabel *init_onehotlabel(float value)
{
    OneHotLabel *hot = (OneHotLabel*)malloc(sizeof(OneHotLabel));
    hot->value = value;
    hot->next = NULL;
    
    return hot;
}

Sample *init_sample()
{
    Sample *sample = (Sample*)malloc(sizeof(Sample));
    sample->first_feature = NULL;
    sample->first_hot = NULL;
    sample->next_sample = NULL;
    sample->t = TRAIN;

    return sample;
}

Data *init_data()
{
    Data *data = (Data*)malloc(sizeof(Data));
    data->first_sample = NULL;
    data->last_sample = NULL;
    data->size = 0;

    return data;
}

void destroy_sample(Sample *sample)
{
    Feature *temp1;
    while (sample->first_feature != NULL)
    {
        temp1 = sample->first_feature;
        sample->first_feature = sample->first_feature->next_feature;
        free(temp1);
    }
    OneHotLabel *temp2;
    while (sample->first_hot != NULL)
    {
        temp2 = sample->first_hot;
        sample->first_hot = sample->first_hot->next;
        free(temp2);
    }
    free(sample);
}

void destroy_data(Data *data)
{
    Sample *temp;
    while (data->first_sample != NULL)
    {
        temp = data->first_sample;
        data->first_sample = data->first_sample->next_sample;
        destroy_sample(temp);
    }
    free(data);
}

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();
    /*FILE *file;
    char *chaine;
    file = fopen(path_to_csv, "r");
    if(file != NULL)
    {
        while(fgets(chaine, 30, file) != NULL)
        {
            printf("%s", chaine);
        }
    }*/
    //TODO : complete
    return data;
}

void print_data(const Data *data)
{
    printf("Hello");
}