Changeset 18086 for branches/2521_ProblemRefactoring/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman16.cs
- Timestamp:
- 11/19/21 16:07:45 (2 years ago)
- Location:
- branches/2521_ProblemRefactoring/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman
- Files:
-
- 1 edited
- 1 copied
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branches/2521_ProblemRefactoring/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman16.cs
r17678 r18086 28 28 public override string Name { 29 29 get { 30 return string.Format("I.14.4 1/2*k_spring*x**2 | {0} samples | {1}", trainingSamples,30 return string.Format("I.14.4 1/2*k_spring*x**2 | {0}", 31 31 noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio)); 32 32 } … … 36 36 37 37 protected override string[] VariableNames { 38 get { return n ew[] {"k_spring", "x", noiseRatio == null ? "U" : "U_noise"}; }38 get { return noiseRatio == null ? new[] { "k_spring", "x", "U" } : new[] { "k_spring", "x", "U", "U_noise" }; } 39 39 } 40 40 … … 66 66 } 67 67 68 if (noiseRatio != null) { 69 var U_noise = new List<double>(); 70 var sigma_noise = (double) noiseRatio * U.StandardDeviationPop(); 71 U_noise.AddRange(U.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise))); 72 data.Remove(U); 73 data.Add(U_noise); 74 } 68 var targetNoise = ValueGenerator.GenerateNoise(U, rand, noiseRatio); 69 if (targetNoise != null) data.Add(targetNoise); 75 70 76 71 return data;
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