def test_conversion_size(self):
domain = Domain([age, gender, income], [race])
self.assertRaises(ValueError, domain.convert, [0] * 3)
self.assertRaises(ValueError, domain.convert, [0] * 5)
domain = Domain([age, income], [race], [gender, education, ssn])
self.assertRaises(ValueError, domain.convert, [0] * 2)
self.assertRaises(ValueError, domain.convert, [0] * 4)
self.assertRaises(ValueError, domain.convert, [0] * 7)
domain.convert([0] * 3)
domain.convert([0] * 6)
def test_conversion(self):
domain = Domain([age, income], [race],
[gender, education, ssn])
values, metas = domain.convert([42, 13, "White"])
assert_array_equal(values, np.array([42, 13, 0]))
assert_array_equal(metas, np.array([Unknown, Unknown, None]))
values, metas = domain.convert([42, 13, "White", "M", "HS", "1234567"])
assert_array_equal(values, np.array([42, 13, 0]))
assert_array_equal(metas, np.array([0, 1, "1234567"], dtype=object))
def test_conversion_size(self):
domain = Domain([age, gender, income], [race])
self.assertRaises(ValueError, domain.convert, [0] * 3)
self.assertRaises(ValueError, domain.convert, [0] * 5)
domain = Domain([age, income], [race],
[gender, education, ssn])
self.assertRaises(ValueError, domain.convert, [0] * 2)
self.assertRaises(ValueError, domain.convert, [0] * 4)
self.assertRaises(ValueError, domain.convert, [0] * 7)
domain.convert([0] * 3)
domain.convert([0] * 6)
def test_conversion(self):
domain = Domain([age, income], [race], [gender, education, ssn])
x, y, metas = domain.convert([42, 13, "White"])
assert_array_equal(x, np.array([42, 13]))
assert_array_equal(y, np.array([0]))
self.assertTrue(all(np.isnan(np.array(metas, dtype=float))))
x, y, metas = domain.convert([42, 13, "White", "M", "HS", "1234567"])
assert_array_equal(x, np.array([42, 13]))
assert_array_equal(y, np.array([0]))
assert_array_equal(metas, np.array([0, 1, "1234567"], dtype=object))
def test_conversion(self):
domain = Domain([age, income], [race],
[gender, education, ssn])
x, y, metas = domain.convert([42, 13, "White"])
assert_array_equal(x, np.array([42, 13]))
assert_array_equal(y, np.array([0]))
self.assertTrue(all(np.isnan(np.array(metas, dtype=float))))
x, y, metas = domain.convert([42, 13, "White", "M", "HS", "1234567"])
assert_array_equal(x, np.array([42, 13]))
assert_array_equal(y, np.array([0]))
assert_array_equal(metas, np.array([0, 1, "1234567"], dtype=object))
def test_conversion(self):
domain = Domain([age, income], [race], [gender, education, ssn])
x, y, metas = domain.convert([42, 13, "White"])
assert_array_equal(x, np.array([42, 13]))
assert_array_equal(y, np.array([0]))
metas_exp = [gender.Unknown, education.Unknown, ssn.Unknown]
def eq(a, b):
if isinstance(a, Real) and isinstance(b, Real) and \
np.isnan(a) and np.isnan(b):
return True
else:
return a == b
self.assertTrue(all(starmap(eq, zip(metas, metas_exp))))
x, y, metas = domain.convert([42, 13, "White", "M", "HS", "1234567"])
assert_array_equal(x, np.array([42, 13]))
assert_array_equal(y, np.array([0]))
assert_array_equal(metas, np.array([0, 1, "1234567"], dtype=object))
def test_conversion(self):
domain = Domain([age, income], [race],
[gender, education, ssn])
x, y, metas = domain.convert([42, 13, "White"])
assert_array_equal(x, np.array([42, 13]))
assert_array_equal(y, np.array([0]))
metas_exp = [gender.Unknown, education.Unknown, ssn.Unknown]
def eq(a, b):
if isinstance(a, Real) and isinstance(b, Real) and \
np.isnan(a) and np.isnan(b):
return True
else:
return a == b
self.assertTrue(all(starmap(eq, zip(metas, metas_exp))))
x, y, metas = domain.convert([42, 13, "White", "M", "HS", "1234567"])
assert_array_equal(x, np.array([42, 13]))
assert_array_equal(y, np.array([0]))
assert_array_equal(metas, np.array([0, 1, "1234567"], dtype=object))
