@staticmethod
    def load_batch (filename, classifiers):
        raw = sio.loadmat(filename)
        data = raw['data']
        labels = raw['labels']

        data = np.array([
            data[i] / 255 for i in range(data.shape[0])
        ]).transpose()

        one_hot = np.array([
            [1 if labels[j][0] == i else 0 for i in range(classifiers)]
            for j in range(labels.shape[0])
        ]).transpose()

        label_list = np.array([x[0] for x in labels])

        return (data, one_hot, label_list)