def test_data(): """Get the `MNIST original` test data.""" mnist = _fetch_mldata('MNIST original', data_home=_os.path.join(_DATA_FOLDER, 'MNIST_original')) return (mnist.data[60000:, :].reshape((10000, 1, 28, 28)).astype('float32'), mnist.target[60000:].reshape((10000, 1)).astype('float32'))
def test_data(): """Get the `MNIST original` test data.""" mnist = _fetch_mldata('MNIST original', data_home=_os.path.join(_DATA_FOLDER, 'MNIST_original')) return (mnist.data[60000:, :].reshape( (10000, 1, 28, 28)).astype('float32'), mnist.target[60000:].reshape( (10000, 1)).astype('float32'))
def training_data(): """Get the `MNIST original` training data.""" _np.random.seed(1) permutation = _np.random.permutation(range(60000)) mnist = _fetch_mldata('MNIST original', data_home=_os.path.join(_DATA_FOLDER, 'MNIST_original')) return (mnist.data[:60000, :][permutation, :].reshape((60000, 1, 28, 28)).astype('float32'), mnist.target[:60000][permutation].reshape((60000, 1)).astype('float32'))
def training_data(): """Get the `MNIST original` training data.""" _np.random.seed(1) permutation = _np.random.permutation(range(60000)) mnist = _fetch_mldata('MNIST original', data_home=_os.path.join(_DATA_FOLDER, 'MNIST_original')) return (mnist.data[:60000, :][permutation, :].reshape( (60000, 1, 28, 28)).astype('float32'), mnist.target[:60000][permutation].reshape( (60000, 1)).astype('float32'))