def test_transform(self):
detector = LocalOutlierFactorLearner(contamination=0.1)
detect = detector(self.iris)
pred = detect(self.iris)
self.assert_table_appended_outlier(self.iris, pred)
pred2 = self.iris.transform(pred.domain)
self.assert_table_equal(pred, pred2)
def test_results(self):
iris = Table("iris")
state = Mock()
state.is_interruption_requested = Mock(return_value=False)
res = run(iris, LocalOutlierFactorLearner(), state)
self.assertIsInstance(res.inliers, Table)
self.assertIsInstance(res.outliers, Table)
self.assertIsInstance(res.annotated_data, Table)
self.assertEqual(iris.domain, res.inliers.domain)
self.assertEqual(iris.domain, res.outliers.domain)
self.assertIn("Outlier", res.annotated_data.domain)
self.assertEqual(len(res.inliers), 145)
self.assertEqual(len(res.outliers), 5)
self.assertEqual(len(res.annotated_data), 150)
def test_no_data(self):
res = run(None, LocalOutlierFactorLearner(), Mock())
self.assertIsNone(res.inliers)
self.assertIsNone(res.outliers)
self.assertIsNone(res.annotated_data)
def setUpClass(cls):
super().setUpClass()
cls.detector = LocalOutlierFactorLearner(contamination=0.1)
def test_LocalOutlierFactor(self):
detector = LocalOutlierFactorLearner(contamination=0.1)
detect = detector(self.iris)
pred = detect(self.iris)
self.assertEqual(len(np.where(pred.metas == 0)[0]), 14)
def test_LocalOutlierFactorDetector(self):
detector = LocalOutlierFactorLearner(contamination=0.1)
detect = detector(self.iris)
is_inlier = detect(self.iris)
self.assertEqual(len(np.where(is_inlier == -1)[0]), 14)