def test_quantization_UniformIntegerHyperparameter(self):
hp = UniformIntegerHyperparameter("uihp", 1, 100, q=3)
rs = np.random.RandomState(1)
sample_one = hp._sample(rs=rs, size=1)
self.assertIsInstance(obj=sample_one, cls=np.ndarray)
self.assertEqual(1, sample_one.size)
self.assertTrue(hp._transform(sample_one) % 3 == 0)
sample_hundred = hp._sample(rs=rs, size=100)
self.assertIsInstance(obj=sample_hundred, cls=np.ndarray)
self.assertEqual(100, sample_hundred.size)
self.assertTrue(
np.all(hp._transform(val) % 3 == 0 for val in sample_hundred))
def test__sample_UniformIntegerHyperparameter(self):
hp = UniformIntegerHyperparameter("uihp", 0, 10)
values = []
rs = np.random.RandomState(1)
for i in range(100):
values.append(hp._sample(rs))
self.assertEqual(len(np.unique(values)), 11)
hp = UniformIntegerHyperparameter("uihp", 2, 12)
values = []
rs = np.random.RandomState(1)
for i in range(100):
values.append(hp._sample(rs))
self.assertGreaterEqual(hp._transform(values[-1]), 2)
self.assertLessEqual(hp._transform(values[-1]), 12)
self.assertEqual(len(np.unique(values)), 11)
def test__sample_UniformIntegerHyperparameter(self):
hp = UniformIntegerHyperparameter("uihp", 0, 10)
values = []
rs = np.random.RandomState(1)
for i in range(100):
values.append(hp._sample(rs))
self.assertEqual(len(np.unique(values)), 11)
def test_quantization_UniformIntegerHyperparameter_negative(self):
hp = UniformIntegerHyperparameter("uihp", -2, 100, q=3)
rs = np.random.RandomState()
sample_one = hp._sample(rs=rs, size=1)
self.assertIsInstance(obj=sample_one, cls=np.ndarray)
self.assertEqual(1, sample_one.size)
self.assertEqual((hp._transform(sample_one) + 2) % 3, 0)
self.assertGreaterEqual(hp._transform(sample_one), -2)
self.assertLessEqual(hp._transform(sample_one), 100)
sample_hundred = hp._sample(rs=rs, size=100)
self.assertIsInstance(obj=sample_hundred, cls=np.ndarray)
self.assertEqual(100, sample_hundred.size)
np.testing.assert_array_equal(
[(hp._transform(val) + 2) % 3 for val in sample_hundred],
np.zeros((100, ), dtype=int),
)
samples_in_original_space = hp._transform(sample_hundred)
for i in range(100):
self.assertGreaterEqual(samples_in_original_space[i], -2)
self.assertLessEqual(samples_in_original_space[i], 100)