Example #1
0
 def test_no_labels_at_50(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_percent(y_true,
                                y_score,
                                percent=0.5,
                                normalize=False)
     self.assertEqual(labels, 0)
Example #2
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_percent(y_true,
                                y_score,
                                percent=0.6,
                                normalize=False)
     self.assertEqual(labels, 6)
Example #3
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_percent(y_true,
                                y_score,
                                percent=0.3,
                                normalize=True)
     self.assertEqual(labels, 0.5)
Example #4
0
 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_percent(y_true,
                                y_score,
                                percent=1.0,
                                normalize=False)
     self.assertEqual(labels, 1)
Example #5
0
 def test_one_label_at_10(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_percent(y_true, y_score, percent=0.1, normalize=False)
     self.assertEqual(labels, 1)
Example #6
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 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_percent(y_true, y_score, percent=1.0, normalize=False)
     self.assertEqual(labels, 0)
Example #7
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_percent(y_true, y_score, percent=0.3, normalize=True)
     self.assertEqual(labels, 0.5)
Example #8
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_percent(y_true, y_score, percent=0.6, normalize=False)
     self.assertEqual(labels, 6)