def test_normalize_with_scaler(self): scaler = MinMaxScaler() scaler.fit(self.data) self.assertTrue( np.array_equal(scaler.transform(self.data), Normalizer.normalize(self.data, scaler)[1])) self.assertEqual(scaler, Normalizer.normalize(self.data, scaler)[0])
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_normalize(self): self.assertTrue( np.array_equal(MinMaxScaler().fit_transform(self.data), Normalizer.normalize(self.data)[1]))
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]))