def test_one_label_at_50(self):
     y_true = np.array([1, nan, nan, nan, nan, nan, nan, nan, nan, nan])
     y_score = np.array([1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1])
     labels = labels_at(y_true,
                        y_score,
                        top_proportion=0.5,
                        normalize=False)
     self.assertEqual(labels, 1)
 def test_no_labels_at_100(self):
     y_true = np.array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])
     y_score = np.random.rand(1, 10)
     labels = labels_at(y_true,
                        y_score,
                        top_proportion=1.0,
                        normalize=False)
     self.assertEqual(labels, 0)
 def test_60_labels_at_60_mixed_values(self):
     y_true = np.array([1, 0, 0, 1, 0, 1, nan, nan, nan, nan])
     y_score = np.array([1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1])
     labels = labels_at(y_true,
                        y_score,
                        top_proportion=0.6,
                        normalize=False)
     self.assertEqual(labels, 6)
 def test_no_labels_at_1(self):
     y_true = np.array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])
     y_score = np.random.rand(1, 10)
     labels = labels_at(y_true, y_score, proportion=0.01, normalize=False)
     self.assertEqual(labels, 0)
 def test_60_labels_at_30_norm(self):
     y_true = np.array([1, 1, 1, 1, 1, 1, nan, nan, nan, nan])
     y_score = np.array([1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1])
     labels = labels_at(y_true, y_score, proportion=0.3, normalize=True)
     self.assertEqual(labels, 0.5)
 def test_60_labels_at_60_mixed_values(self):
     y_true = np.array([1, 0, 0, 1, 0, 1, nan, nan, nan, nan])
     y_score = np.array([1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1])
     labels = labels_at(y_true, y_score, proportion=0.6, normalize=False)
     self.assertEqual(labels, 6)
 def test_one_label_at_100(self):
     y_true = np.array([1, nan, nan, nan, nan, nan, nan, nan, nan, nan])
     y_score = np.array([1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1])
     labels = labels_at(y_true, y_score, proportion=1.0, normalize=False)
     self.assertEqual(labels, 1)
 def test_60_labels_at_30_norm(self):
     y_true = np.array([1, 1, 1, 1, 1, 1, nan, nan, nan, nan])
     y_score = np.array([1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1])
     labels = labels_at(y_true, y_score, top_proportion=0.3, normalize=True)
     self.assertEqual(labels, 0.5)