def test_strangeness_median_fit(self):
strg = Strangeness(measure="median", k=10)
X = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
strg.fit(X)
self.assertTrue(strg.h.med is not None)
self.assertTrue(np.allclose(strg.h.med, [4, 5, 6]))
self.assertEqual(strg.get([1, 2, 3]), 27**0.5)
def test_strangeness_fit_input_wrong(self):
strg = Strangeness(measure="median", k=10)
with self.assertRaises(InputValidationError):
strg.fit([])
with self.assertRaises(InputValidationError):
strg.fit("foo")
def test_strangeness_predict_input_wrong(self):
strg = Strangeness(measure="median", k=10)
X = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
strg.fit(X)
with self.assertRaises(InputValidationError):
strg.get([])
with self.assertRaises(InputValidationError):
strg.get("foo")
def __init__(self,
w_martingale=15,
non_conformity="median",
k=20,
dev_threshold=0.6):
utils.validate_individual_deviation_params(w_martingale,
non_conformity, k,
dev_threshold)
self.w_martingale = w_martingale
self.non_conformity = non_conformity
self.k = k
self.dev_threshold = dev_threshold
self.strg = Strangeness(non_conformity, k)
self.scores = []
self.T, self.S, self.P, self.M = [], [], [], []
self.mart = 0
self.marts = [0, 0, 0]
def test_strangeness_knn_fit(self):
strg = Strangeness(measure="knn", k=2)
X = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
strg.fit(X)
self.assertTrue(strg.h.X is not None)
self.assertEqual(strg.get([7, 8, 9]), 27**0.5 / 2)
def test_strangeness_knn_not_fitted(self):
with self.assertRaises(NotFittedError):
strg = Strangeness(measure="knn", k=10)
strg.get([1, 2, 3])
def test_strangeness_wrong_measure(self):
with self.assertRaises(InputValidationError):
strg = Strangeness(measure="foo", k=10)
def test_strangeness_knn_wrong_k(self):
with self.assertRaises(InputValidationError):
strg = Strangeness(measure="knn", k=0)
def test_strangeness_knn_general(self):
strg = Strangeness(measure="knn", k=10)
self.assertEqual(strg.h.X, None)
self.assertFalse(strg.is_fitted())
def test_strangeness_median_general(self):
strg = Strangeness(measure="median", k=10)
self.assertEqual(strg.h.med, None)
self.assertFalse(strg.is_fitted())