def test_get_normalizer_normalize_with_scaler(self):
scaler = MinMaxScaler()
scaler.fit(self.data)
self.assertTrue(
np.array_equal(
Normalizer.normalize(self.data, fitted_scaler=scaler)[1],
Normalizer.get_normalizer(Normalizer.NORMALIZE,
data=self.data,
fitted_scaler=scaler)[1]))
self.assertTrue(
Normalizer.normalize(self.data, fitted_scaler=scaler)[0],
Normalizer.get_normalizer(Normalizer.NORMALIZE,
data=self.data,
fitted_scaler=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_get_normalizer_max_norm(self):
self.assertTrue(
np.array_equal(
Normalizer.max_norm(self.data),
Normalizer.get_normalizer(Normalizer.MAX_NORM,
data=self.data)))
def test_get_normalizer_l2_norm(self):
self.assertTrue(
np.array_equal(
Normalizer.l2_norm(self.data),
Normalizer.get_normalizer(Normalizer.L2_NORM, data=self.data)))
def test_get_normalizer_none(self):
self.assertTrue(
np.array_equal(
Normalizer.none(self.data),
Normalizer.get_normalizer(Normalizer.NONE, data=self.data)))
def test_get_normalizer_normalize(self):
self.assertTrue(
np.array_equal(
Normalizer.normalize(self.data)[1],
Normalizer.get_normalizer(Normalizer.NORMALIZE,
data=self.data)[1]))