def test_srcc_perf_metric_enable_mapping(self):
groundtruths = [1, 2, 3, 4]
predictions = [1, 2, 3, 5]
metric = SrccPerfMetric(groundtruths, predictions)
result = metric.evaluate(enable_mapping=True)
self.assertAlmostEqual(result['score'], 1.0, places=6)
def test_srcc_perf_metric_enable_mapping(self):
groundtruths = [1, 2, 3, 4]
predictions = [1, 2, 3, 5]
metric = SrccPerfMetric(groundtruths, predictions)
result = metric.evaluate(enable_mapping=True)
self.assertAlmostEqual(result['score'], 1.0, places=6)
def test_srcc_perf_metric2(self):
groundtruths = [1, 2, 3, 4]
predictions = [1, 2, 5, 3]
metric = SrccPerfMetric(groundtruths, predictions)
result = metric.evaluate()
self.assertAlmostEqual(result['score'], 0.79999999999999993, places=6)
def test_srcc_perf_metric2(self):
groundtruths = [1, 2, 3, 4]
predictions = [1, 2, 5, 3]
metric = SrccPerfMetric(groundtruths, predictions)
result = metric.evaluate()
self.assertAlmostEqual(result['score'], 0.79999999999999993, places=6)