text: # In order to manipulate the array
  import numpy as np
  
  # In order to load mat file
  from scipy.io import loadmat
  
  # Abalone dataset - Convert the ring = 19 to class 1 and the other to class 0
  
  # filename = '../../data/raw/mldata/uci-20070111-abalone.mat'
  # matfile = loadmat(filename)
  
  # sex_array = np.zeros(np.ravel(matfile['int1']).shape[0])
  # sex_array[np.nonzero(np.ravel(matfile['Sex']) == 'M')] = 0
  # sex_array[np.nonzero(np.ravel(matfile['Sex']) == 'F')] = 1
  # sex_array[np.nonzero(np.ravel(matfile['Sex']) == 'I')] = 2
  
  # data = np.zeros((np.ravel(matfile['int1']).shape[0], 8))
  # data[:, 0] = sex_array
  # data[:, 1::] = matfile['double0'].T
  
  # label = np.zeros((np.ravel(matfile['int1']).shape[0], ), dtype=(int))
  # label[np.nonzero(np.ravel(matfile['int1']) == 19)] = 1
  
  # np.savez('../../data/clean/uci-20070111-abalone.npz', data=data, label=label)
  
  # Adult dataset
  
  # filename = '../../data/raw/mldata/adult'
  
  # input = np.loadtxt(filename, delimiter = ',', usecols = (0, 2, 4, 10, 11, 12, 14))
  
  # data = input[:, :-1]
  # label = input[:, -1]
  
  # np.savez('../../data/clean/uci-adult.npz', data=data, label=label)
  