public void GradientBoostingTestTowerRelativeError() { var gbt = new GradientBoostedTreesAlgorithm(); var provider = new HeuristicLab.Problems.Instances.DataAnalysis.RegressionRealWorldInstanceProvider(); var instance = provider.GetDataDescriptors().Single(x => x.Name.Contains("Tower")); var regProblem = new RegressionProblem(); regProblem.Load(provider.LoadData(instance)); #region Algorithm Configuration gbt.Problem = regProblem; gbt.Seed = 0; gbt.SetSeedRandomly = false; gbt.Iterations = 3000; gbt.MaxSize = 20; gbt.Nu = 0.005; gbt.LossFunctionParameter.Value = gbt.LossFunctionParameter.ValidValues.First(l => l.ToString().Contains("Relative")); gbt.CreateSolution = false; #endregion gbt.Start(); Console.WriteLine(gbt.ExecutionTime); Assert.AreEqual(0.061954221604374943, ((DoubleValue)gbt.Results["Loss (train)"].Value).Value, 1E-6); Assert.AreEqual(0.06316303473499961, ((DoubleValue)gbt.Results["Loss (test)"].Value).Value, 1E-6); }
public void GradientBoostingTestTowerAbsoluteError() { var gbt = new GradientBoostedTreesAlgorithm(); var provider = new HeuristicLab.Problems.Instances.DataAnalysis.RegressionRealWorldInstanceProvider(); var instance = provider.GetDataDescriptors().Single(x => x.Name.Contains("Tower")); var regProblem = new RegressionProblem(); regProblem.Load(provider.LoadData(instance)); #region Algorithm Configuration gbt.Problem = regProblem; gbt.Seed = 0; gbt.SetSeedRandomly = false; gbt.Iterations = 1000; gbt.MaxSize = 20; gbt.Nu = 0.02; gbt.LossFunctionParameter.Value = gbt.LossFunctionParameter.ValidValues.First(l => l.ToString().Contains("Absolute")); gbt.ModelCreation = GradientBoostedTrees.ModelCreation.QualityOnly; #endregion gbt.Start(); Console.WriteLine(gbt.ExecutionTime); Assert.AreEqual(10.551385044666661, ((DoubleValue)gbt.Results["Loss (train)"].Value).Value, 1E-6); Assert.AreEqual(12.918001745581172, ((DoubleValue)gbt.Results["Loss (test)"].Value).Value, 1E-6); }
public void GradientBoostingTestTowerSquaredError() { var gbt = new GradientBoostedTreesAlgorithm(); var provider = new HeuristicLab.Problems.Instances.DataAnalysis.RegressionRealWorldInstanceProvider(); var instance = provider.GetDataDescriptors().Single(x => x.Name.Contains("Tower")); var regProblem = new RegressionProblem(); regProblem.Load(provider.LoadData(instance)); #region Algorithm Configuration gbt.Problem = regProblem; gbt.Seed = 0; gbt.SetSeedRandomly = false; gbt.Iterations = 5000; gbt.MaxSize = 20; gbt.CreateSolution = false; #endregion gbt.Start(); Console.WriteLine(gbt.ExecutionTime); Assert.AreEqual(267.68704241153921, ((DoubleValue)gbt.Results["Loss (train)"].Value).Value, 1E-6); Assert.AreEqual(393.84704062205469, ((DoubleValue)gbt.Results["Loss (test)"].Value).Value, 1E-6); }
protected GradientBoostedTreesAlgorithm(GradientBoostedTreesAlgorithm original, Cloner cloner) : base(original, cloner) { }
public void GradientBoostingTestTowerRelativeError() { var gbt = new GradientBoostedTreesAlgorithm(); var provider = new HeuristicLab.Problems.Instances.DataAnalysis.RegressionRealWorldInstanceProvider(); var instance = provider.GetDataDescriptors().Single(x => x.Name.Contains("Tower")); var regProblem = new RegressionProblem(); regProblem.Load(provider.LoadData(instance)); #region Algorithm Configuration gbt.Problem = regProblem; gbt.Seed = 0; gbt.SetSeedRandomly = false; gbt.Iterations = 3000; gbt.MaxSize = 20; gbt.Nu = 0.005; gbt.LossFunctionParameter.Value = gbt.LossFunctionParameter.ValidValues.First(l => l.ToString().Contains("Relative")); gbt.CreateSolution = false; #endregion RunAlgorithm(gbt); Console.WriteLine(gbt.ExecutionTime); Assert.AreEqual(0.061954221604374943, ((DoubleValue)gbt.Results["Loss (train)"].Value).Value, 1E-6); Assert.AreEqual(0.06316303473499961, ((DoubleValue)gbt.Results["Loss (test)"].Value).Value, 1E-6); }
public void GradientBoostingTestTowerSquaredError() { var gbt = new GradientBoostedTreesAlgorithm(); var provider = new HeuristicLab.Problems.Instances.DataAnalysis.RegressionRealWorldInstanceProvider(); var instance = provider.GetDataDescriptors().Single(x => x.Name.Contains("Tower")); var regProblem = new RegressionProblem(); regProblem.Load(provider.LoadData(instance)); #region Algorithm Configuration gbt.Problem = regProblem; gbt.Seed = 0; gbt.SetSeedRandomly = false; gbt.Iterations = 5000; gbt.MaxSize = 20; gbt.CreateSolution = false; #endregion RunAlgorithm(gbt); Console.WriteLine(gbt.ExecutionTime); Assert.AreEqual(267.68704241153921, ((DoubleValue)gbt.Results["Loss (train)"].Value).Value, 1E-6); Assert.AreEqual(393.84704062205469, ((DoubleValue)gbt.Results["Loss (test)"].Value).Value, 1E-6); }