Python multilabel_tp_fp_tn_fn_scores Examples

Example #1

File: test_metrics.py Project: caomw/motion-classification

 def test_true_positives(self):
     y_true = np.array([[1, 1, 1, 1],
                        [1, 0, 1, 1],
                        [0, 0, 0, 1]])
     y_pred = np.array([[0, 1, 1, 1],
                        [0, 1, 1, 1],
                        [0, 1, 0, 1]])
     tp, _, _, _ = metrics.multilabel_tp_fp_tn_fn_scores(y_true, y_pred)
     self.assertSequenceEqual(tp.tolist(), [0, 1, 2, 3])

Example #2

File: test_metrics.py Project: caomw/motion-classification

 def test_false_negatives(self):
     y_true = np.array([[1, 0, 0, 1],
                        [1, 1, 1, 1],
                        [1, 0, 1, 1]])
     y_pred = np.array([[1, 0, 1, 0],
                        [1, 0, 0, 0],
                        [1, 0, 0, 0]])
     _, _, _, fn = metrics.multilabel_tp_fp_tn_fn_scores(y_true, y_pred)
     self.assertSequenceEqual(fn.tolist(), [0, 1, 2, 3])

Example #3

File: test_metrics.py Project: voxmenthe/motion-classification

 def test_true_positives(self):
     y_true = np.array([[1, 1, 1, 1], [1, 0, 1, 1], [0, 0, 0, 1]])
     y_pred = np.array([[0, 1, 1, 1], [0, 1, 1, 1], [0, 1, 0, 1]])
     tp, _, _, _ = metrics.multilabel_tp_fp_tn_fn_scores(y_true, y_pred)
     self.assertSequenceEqual(tp.tolist(), [0, 1, 2, 3])

Example #4

File: test_metrics.py Project: voxmenthe/motion-classification

 def test_false_negatives(self):
     y_true = np.array([[1, 0, 0, 1], [1, 1, 1, 1], [1, 0, 1, 1]])
     y_pred = np.array([[1, 0, 1, 0], [1, 0, 0, 0], [1, 0, 0, 0]])
     _, _, _, fn = metrics.multilabel_tp_fp_tn_fn_scores(y_true, y_pred)
     self.assertSequenceEqual(fn.tolist(), [0, 1, 2, 3])