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datasets.c
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datasets.c
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#include "datasets.h"
void free_dataset(dataset *ds)
{
free(ds->x);
free(ds->y);
free(ds);
}
/*
* Rain in Australia dataset
* Ref: https://www.kaggle.com/datasets/jsphyg/weather-dataset-rattle-package
* I preprocessed it and saved it in binary format.
*/
dataset *load_weather()
{
const size_t n_samples = 24800;
const size_t n_features = 22;
double *x = (double *) malloc(n_samples * n_features * sizeof(double));
double *y = (double *) malloc(n_samples * sizeof(double));
size_t ret;
FILE *fp;
fp = fopen("./datasets/weather_aus_x.bin", "rb");
if (!fp)
{
printf("Error: Failed to load weather_aus_x.bin\n");
exit(EXIT_FAILURE);
}
ret = fread(x, sizeof(double), n_samples * n_features, fp);
fclose(fp);
if (ret != n_samples * n_features)
{
printf("Error: Failed to read weather_aus_x data.\n");
exit(EXIT_FAILURE);
}
fp = fopen("./datasets/weather_aus_y.bin", "rb");
if (!fp)
{
printf("Error: Failed to load weather_aus_y.bin\n");
exit(EXIT_FAILURE);
}
ret = fread(y, sizeof(double), n_samples, fp);
fclose(fp);
if (ret != n_samples)
{
printf("Error: Failed to read file weather_aus_y.\n");
exit(EXIT_FAILURE);
}
dataset *d = (dataset *) malloc(sizeof(dataset));
d->x = x;
d->y = y;
d->n_samples = n_samples;
d->dim = n_features;
return d;
}
/*
* MNIST dataset. Load the original mnsit dataset from binary format.
* Then preprocess it to 1. Normalize images 2. One hot labels
*/
double *normalize_mnist_images(unsigned char *images, size_t image_size,
size_t n_samples, int for_gan)
{
double *images_normalized = calloc(image_size * n_samples, sizeof(double));
for (size_t i = 0; i < (image_size * n_samples); i++)
{
if (for_gan)
{
// -1 to 1 range
images_normalized[i] = (images[i] - 127.5f) / 127.5f;
}
else
{
// 0 - 1 range
images_normalized[i] = images[i] / 255.0f;
}
}
return images_normalized;
}
double *one_hot(unsigned char *labels, size_t n_classes, size_t n_samples)
{
double *one_hot_labels = calloc(n_samples * n_classes, sizeof(double));
size_t label;
for (size_t i = 0; i < n_samples; i++)
{
label = (size_t) labels[i];
one_hot_labels[i * n_classes + label] = 1.0f;
}
return one_hot_labels;
}
dataset *load_mnist(int for_gan)
{
const size_t n_images = 60000;
const size_t image_size = 28 * 28;
unsigned char *images = malloc(n_images * image_size);
unsigned char *labels = malloc(n_images * sizeof(unsigned char));
FILE *fp;
size_t ret;
fp = fopen("./datasets/mnist_x.bin", "rb");
if (fp == NULL)
{
printf("Error: Failed to load mnist_x.bin file.\n");
exit(EXIT_FAILURE);
}
ret = fread(images, sizeof(unsigned char), n_images * image_size, fp);
if (ret != n_images * image_size)
{
printf("Error: Failed to read mnist_x data.\n");
exit(EXIT_FAILURE);
}
fclose(fp);
fp = fopen("./datasets/mnist_y.bin", "rb");
if (fp == NULL)
{
printf("Error: Failed to load mnist_y.bin file.\n");
exit(EXIT_FAILURE);
}
ret = fread(labels, sizeof(unsigned char), n_images, fp);
if (ret != n_images)
{
printf("Error: Failed to read mnist_y file.\n");
exit(EXIT_FAILURE);
}
fclose(fp);
// normalize input values
double *images_normlaized = normalize_mnist_images(images, image_size,
n_images, for_gan);
free(images);
double *one_hot_labels = one_hot(labels, 10, n_images);
free(labels);
dataset *ds = malloc(sizeof(dataset));
ds->x = images_normlaized;
if (!for_gan)
{
ds->y = one_hot_labels;
}
ds->n_samples = n_images;
ds->dim = image_size;
return ds;
}