def test_rmse_perf_metric2(self):
groundtruths = [1, 2, 3, 4]
predictions = [1, 2, 3, 5]
metric = RmsePerfMetric(groundtruths, predictions)
result = metric.evaluate()
self.assertAlmostEqual(result['score'], 0.5, places=6)
def test_rmse_perf_metric2(self):
groundtruths = [1, 2, 3, 4]
predictions = [1, 2, 3, 5]
metric = RmsePerfMetric(groundtruths, predictions)
result = metric.evaluate()
self.assertAlmostEqual(result['score'], 0.5, places=6)
def test_rmse_perf_metric_enable_mapping(self):
groundtruths = np.arange(0, 1, 0.0001)
predictions = np.arange(0, 1, 0.0001)
metric = RmsePerfMetric(groundtruths, predictions)
result = metric.evaluate(enable_mapping=True)
self.assertAlmostEqual(result['score'], 0.022753642178052261, places=6)
def test_rmse_perf_metric_enable_mapping(self):
groundtruths = np.arange(0, 1, 0.0001)
predictions = np.arange(0, 1, 0.0001)
metric = RmsePerfMetric(groundtruths, predictions)
result = metric.evaluate(enable_mapping=True)
self.assertAlmostEqual(result['score'], 0.022753642178052261, places=6)