public void GBMSquaredLoss_UpdateResiduals() { var targets = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9 }; var predictions = new double[] { 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 }; var actual = new double[targets.Length]; var sut = new GradientBoostSquaredLoss(); sut.UpdateResiduals(targets, predictions, actual, targets.Select(t => true).ToArray()); var expected = new double[] { -4, -3, -2, -1, 0, 1, 2, 3, 4 }; CollectionAssert.AreEqual(expected, actual); }
public void GBMSquaredLoss_UpdateResiduals_Indexed() { var targets = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9 }; var predictions = new double[] { 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 }; var actual = new double[targets.Length]; var inSample = new bool[] { true, false, true, false, true, false, true, false, true }; var sut = new GradientBoostSquaredLoss(); sut.UpdateResiduals(targets, predictions, actual, inSample); var expected = new double[] { -4, 0.0, -2, 0.0, 0, 0.0, 2, 0.0, 4 }; CollectionAssert.AreEqual(expected, actual); }