def test_standardize_with_scaler(self):
scaler = StandardScaler()
scaler.fit(self.data)
self.assertTrue(
np.array_equal(scaler.transform(self.data),
Normalizer.standardize(self.data, scaler)[1]))
self.assertEqual(scaler, Normalizer.standardize(self.data, scaler)[0])
def test_get_normalizer_standardize_with_scaler(self):
scaler = StandardScaler()
scaler.fit(self.data)
self.assertTrue(
np.array_equal(
Normalizer.standardize(self.data, fitted_scaler=scaler)[1],
Normalizer.get_normalizer(Normalizer.STANDARDIZE,
data=self.data,
fitted_scaler=scaler)[1]))
self.assertTrue(
Normalizer.standardize(self.data, fitted_scaler=scaler)[0],
Normalizer.get_normalizer(Normalizer.STANDARDIZE,
data=self.data,
fitted_scaler=scaler)[0])
def test_get_normalizer_standardize(self):
self.assertTrue(
np.array_equal(
Normalizer.standardize(self.data)[1],
Normalizer.get_normalizer(Normalizer.STANDARDIZE,
data=self.data)[1]))
def test_standardize(self):
self.assertTrue(
np.array_equal(StandardScaler().fit_transform(self.data),
Normalizer.standardize(self.data)[1]))