def test_make_digits_flip_mode(self):
data, labels = datasets.load_digits()
noisy_data, noisy_labels = datasets.make_digits(
noise_level=0.5, n_samples=100, mode='flip')
diff_signs = np.sign(data[noisy_labels] - noisy_data).flatten()
self.assertEqual({-1, 0, 1}, set(diff_signs))
def test_make_digits(self):
data, labels = datasets.load_digits()
noisy_data, noisy_labels = datasets.make_digits(noise_level=0.3,
n_samples=1)
diff = np.abs(data[noisy_labels] - noisy_data).sum()
self.assertNotEqual(diff, 0)
def test_make_digits(self):
data, labels = datasets.load_digits()
noisy_data, noisy_labels = datasets.make_digits(noise_level=0.3,
n_samples=1)
diff = np.abs(data[noisy_labels] - noisy_data).sum()
self.assertNotEqual(diff, 0)
def test_make_digits_remove_mode(self):
data, labels = datasets.load_digits()
noisy_data, noisy_labels = datasets.make_digits(
noise_level=0.3, n_samples=100, mode='remove')
diff = data[noisy_labels] - noisy_data
diff_signs = np.sign(diff).flatten()
self.assertNotEqual(np.abs(diff).sum(), 0)
self.assertEqual({0, 1}, set(diff_signs))
def test_make_digits_exceptions(self):
with self.assertRaisesRegexp(ValueError, "from \[0\, 1\) range"):
datasets.make_digits(noise_level=-1)
with self.assertRaisesRegexp(ValueError, "from \[0\, 1\) range"):
datasets.make_digits(noise_level=1)
with self.assertRaisesRegexp(ValueError, "greater or equal to 1"):
datasets.make_digits(n_samples=0)
with self.assertRaisesRegexp(ValueError, "Unknown mode"):
datasets.make_digits(n_samples=0, mode='unknown')
def test_make_digits_exceptions(self):
with self.assertRaises(ValueError):
datasets.make_digits(noise_level=-1)
with self.assertRaises(ValueError):
datasets.make_digits(noise_level=1)
with self.assertRaises(ValueError):
datasets.make_digits(n_samples=0)
def test_make_digits_exceptions(self):
with self.assertRaises(ValueError):
datasets.make_digits(noise_level=-1)
with self.assertRaises(ValueError):
datasets.make_digits(noise_level=1)
with self.assertRaises(ValueError):
datasets.make_digits(n_samples=0)
