def test_relieff(self):
old_monk = self.monk.copy()
weights = ReliefF(random_state=42)(self.monk, None)
found = [
self.monk.domain[attr].name
for attr in reversed(weights.argsort()[-3:])
]
reference = ['a', 'b', 'e']
self.assertEqual(sorted(found), reference)
# Original data is unchanged
np.testing.assert_equal(old_monk.X, self.monk.X)
np.testing.assert_equal(old_monk.Y, self.monk.Y)
# Ensure it doesn't crash on adult dataset
weights = ReliefF(random_state=42)(self.adult, None)
found = [
self.adult.domain[attr].name for attr in weights.argsort()[-2:]
]
# some leeway for randomness in relieff random instance selection
self.assertIn('marital-status', found)
# Ensure it doesn't crash on missing target class values
old_monk.Y[0] = np.nan
weights = ReliefF()(old_monk, None)
np.testing.assert_array_equal(
ReliefF(random_state=1)(self.monk, None),
ReliefF(random_state=1)(self.monk, None))
def test_relieff(self):
old_breast = self.breast.copy()
weights = ReliefF(random_state=42)(self.breast, None)
found = [
self.breast.domain[attr].name
for attr in reversed(weights.argsort()[-3:])
]
reference = ['Bare_Nuclei', 'Clump thickness', 'Marginal_Adhesion']
self.assertEqual(sorted(found), reference)
# Original data is unchanged
np.testing.assert_equal(old_breast.X, self.breast.X)
np.testing.assert_equal(old_breast.Y, self.breast.Y)
# Ensure it doesn't crash on adult dataset
weights = ReliefF(random_state=42)(self.lenses, None)
found = [
self.lenses.domain[attr].name for attr in weights.argsort()[-2:]
]
# some leeway for randomness in relieff random instance selection
self.assertIn('tear_rate', found)
# Ensure it doesn't crash on missing target class values
old_breast.Y[0] = np.nan
weights = ReliefF()(old_breast, None)
np.testing.assert_array_equal(
ReliefF(random_state=1)(self.breast, None),
ReliefF(random_state=1)(self.breast, None))
def test_relieff(self):
old_monk = self.monk.copy()
weights = ReliefF()(self.monk, None)
found = [self.monk.domain[attr].name for attr in reversed(weights.argsort()[-3:])]
reference = ['a', 'b', 'e']
self.assertEqual(sorted(found), reference)
# Original data is unchanged
np.testing.assert_equal(old_monk.X, self.monk.X)
np.testing.assert_equal(old_monk.Y, self.monk.Y)
# Ensure it doesn't crash on adult dataset
weights = ReliefF()(self.adult, None)
found = [self.adult.domain[attr].name for attr in weights.argsort()[-2:]]
# some leeway for randomness in relieff random instance selection
self.assertIn('marital-status', found)
# Ensure it doesn't crash on missing target class values
old_monk.Y[0] = np.nan
weights = ReliefF()(old_monk, None)
def test_relieff(self):
old_monk = self.monk.copy()
weights = ReliefF()(self.monk, None)
found = [
self.monk.domain[attr].name
for attr in reversed(weights.argsort()[-3:])
]
reference = ['a', 'b', 'e']
self.assertEqual(sorted(found), reference)
# Original data is unchanged
np.testing.assert_equal(old_monk.X, self.monk.X)
np.testing.assert_equal(old_monk.Y, self.monk.Y)
# Ensure it doesn't crash on adult dataset
weights = ReliefF()(self.adult, None)
found = sorted(
[self.adult.domain[attr].name for attr in weights.argsort()[-2:]])
reference = ['marital-status', 'relationship']
self.assertEqual(found, reference)
# Ensure it doesn't crash on missing target class values
old_monk.Y[0] = np.nan
weights = ReliefF()(old_monk, None)
def test_relieff(self):
old_breast = self.breast.copy()
weights = ReliefF(random_state=42)(self.breast, None)
found = [self.breast.domain[attr].name for attr in reversed(weights.argsort()[-3:])]
reference = ['Bare_Nuclei', 'Clump thickness', 'Marginal_Adhesion']
self.assertEqual(sorted(found), reference)
# Original data is unchanged
np.testing.assert_equal(old_breast.X, self.breast.X)
np.testing.assert_equal(old_breast.Y, self.breast.Y)
# Ensure it doesn't crash on adult dataset
weights = ReliefF(random_state=42)(self.lenses, None)
found = [self.lenses.domain[attr].name for attr in weights.argsort()[-2:]]
# some leeway for randomness in relieff random instance selection
self.assertIn('tear_rate', found)
# Ensure it doesn't crash on missing target class values
old_breast.Y[0] = np.nan
weights = ReliefF()(old_breast, None)
np.testing.assert_array_equal(
ReliefF(random_state=1)(self.breast, None),
ReliefF(random_state=1)(self.breast, None)
)