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'))