def test_is_monotonic_iris_linkage(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # Iris data set. Expecting True. X = eo['iris'] Y = pdist(X) Z = linkage(X, 'single') self.assertTrue(is_monotonic(Z) == True)
def test_is_monotonic_3x4_F3(self): # Tests is_monotonic(Z) on 3x4 linkage (case 3). Expecting False Z = np.asarray([[0, 1, 0.3, 2], [2, 3, 0.4, 2], [4, 5, 0.2, 4]], dtype=np.double) self.assertTrue(is_monotonic(Z) == False)
def test_is_monotonic_3x4_T(self): # Tests is_monotonic(Z) on 3x4 linkage. Expecting True. Z = np.asarray([[0, 1, 0.3, 2], [2, 3, 0.4, 2], [4, 5, 0.6, 4]], dtype=np.double) self.assertTrue(is_monotonic(Z) == True)
def test_is_monotonic_tdist_linkage2(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # tdist data set. Perturbing. Expecting False. Z = linkage(_ytdist, 'single') Z[2,2] = 0.0 self.assertTrue(is_monotonic(Z) == False)
def test_is_monotonic_tdist_linkage2(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # tdist data set. Perturbing. Expecting False. Z = linkage(hierarchy_test_data.ytdist, 'single') Z[2, 2] = 0.0 assert_equal(is_monotonic(Z), False)
def test_is_monotonic_3x4_F3(self): # Tests is_monotonic(Z) on 3x4 linkage (case 3). Expecting False Z = np.asarray([[0, 1, 0.3, 2], [2, 3, 0.4, 2], [4, 5, 0.2, 4]], dtype=np.double) assert_equal(is_monotonic(Z), False)
def test_is_monotonic_2x4_F(self): # Tests is_monotonic(Z) on 2x4 linkage. Expecting False. Z = np.asarray([[0, 1, 0.4, 2], [2, 3, 0.3, 3]], dtype=np.double) assert_equal(is_monotonic(Z), False)
def test_is_monotonic_Q_linkage(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # Q data set. Expecting True. X = hierarchy_test_data.Q_X Z = linkage(X, 'single') self.assertTrue(is_monotonic(Z) == True)
def test_is_monotonic_2x4_T(self): # Tests is_monotonic(Z) on 2x4 linkage. Expecting True. Z = np.asarray([[0, 1, 0.3, 2], [2, 3, 0.4, 3]], dtype=np.double) self.assertTrue(is_monotonic(Z) == True)
def Monotone(X): return clust.is_monotonic(X)
def test_is_monotonic_Q_linkage(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # Q data set. Expecting True. X = hierarchy_test_data.Q_X Z = linkage(X, "single") assert_equal(is_monotonic(Z), True)
def test_is_monotonic_tdist_linkage2(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # tdist data set. Perturbing. Expecting False. Z = linkage(hierarchy_test_data.ytdist, "single") Z[2, 2] = 0.0 assert_equal(is_monotonic(Z), False)
def test_is_monotonic_tdist_linkage1(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # tdist data set. Expecting True. Z = linkage(hierarchy_test_data.ytdist, "single") assert_equal(is_monotonic(Z), True)
def test_is_monotonic_tdist_linkage1(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # tdist data set. Expecting True. Z = linkage(hierarchy_test_data.ytdist, 'single') self.assertTrue(is_monotonic(Z) == True)
def test_is_monotonic_3x4_F2(self): # Tests is_monotonic(Z) on 3x4 linkage (case 2). Expecting False. Z = np.asarray([[0, 1, 0.8, 2], [2, 3, 0.4, 2], [4, 5, 0.6, 4]], dtype=np.double) self.assertTrue(is_monotonic(Z) == False)
def test_is_monotonic_tdist_linkage2(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # tdist data set. Perturbing. Expecting False. Z = linkage(hierarchy_test_data.ytdist, 'single') Z[2,2] = 0.0 self.assertTrue(is_monotonic(Z) == False)
def test_is_monotonic_2x4_T(self): # Tests is_monotonic(Z) on 2x4 linkage. Expecting True. Z = np.asarray([[0, 1, 0.3, 2], [2, 3, 0.4, 3]], dtype=np.double) assert_equal(is_monotonic(Z), True)
def test_is_monotonic_1x4(self): # Tests is_monotonic(Z) on 1x4 linkage. Expecting True. Z = np.asarray([[0, 1, 0.3, 2]], dtype=np.double) assert_equal(is_monotonic(Z), True)
def test_is_monotonic_3x4_F2(self): # Tests is_monotonic(Z) on 3x4 linkage (case 2). Expecting False. Z = np.asarray([[0, 1, 0.8, 2], [2, 3, 0.4, 2], [4, 5, 0.6, 4]], dtype=np.double) assert_equal(is_monotonic(Z), False)
def test_is_monotonic_3x4_T(self): # Tests is_monotonic(Z) on 3x4 linkage. Expecting True. Z = np.asarray([[0, 1, 0.3, 2], [2, 3, 0.4, 2], [4, 5, 0.6, 4]], dtype=np.double) assert_equal(is_monotonic(Z), True)
def test_is_monotonic_1x4(self): # Tests is_monotonic(Z) on 1x4 linkage. Expecting True. Z = np.asarray([[0, 1, 0.3, 2]], dtype=np.double) self.assertTrue(is_monotonic(Z) == True)
def test_is_monotonic_tdist_linkage1(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # tdist data set. Expecting True. Z = linkage(hierarchy_test_data.ytdist, 'single') assert_equal(is_monotonic(Z), True)
def test_is_monotonic_2x4_F(self): # Tests is_monotonic(Z) on 2x4 linkage. Expecting False. Z = np.asarray([[0, 1, 0.4, 2], [2, 3, 0.3, 3]], dtype=np.double) self.assertTrue(is_monotonic(Z) == False)
def test_is_monotonic_Q_linkage(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # Q data set. Expecting True. X = hierarchy_test_data.Q_X Z = linkage(X, 'single') assert_equal(is_monotonic(Z), True)
def test_is_monotonic_tdist_linkage1(self): # Tests is_monotonic(Z) on clustering generated by single linkage on # tdist data set. Expecting True. Z = linkage(_ytdist, 'single') self.assertTrue(is_monotonic(Z) == True)