public void RootMeanLogRegressionMetric_Error() { var targets = new double[] { 1.0, 0.5, 1.5, 2.0, 3.0, 2.0, 5.0, 1.0, 0.0, 10.0, 100.0, 2000.0, 5000.0 }; var predictions = new double[] { 0.0, 0.0, 1.0, 1.0, 2.0, 0.0, 3.0, 5.0, 5.0, 5.0, 90.0, 1000.0, 10000.0 }; var sut = new RootMeanLogRegressionMetric(); var actual = sut.Error(targets, predictions); Assert.AreEqual(0.787833389, actual, 0.00001); }
public void RootMeanLogRegressionMetric_Error_Zero_Error() { var targets = new double[] { 0.0, 0.0 }; var predictions = new double[] { 0.0, 0.0 }; var sut = new RootMeanLogRegressionMetric(); var actual = sut.Error(targets, predictions); Assert.AreEqual(0.0, actual); }