Changeset 18086 for branches/2521_ProblemRefactoring/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus13.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/FeynmanBonus13.cs
r17678 r18086 29 29 get { 30 30 return string.Format( 31 "Goldstein 12.80: 1/(2*m)*(p**2+m**2*omega**2*x**2*(1+alpha*x/y)) | {0} samples | {1}",32 trainingSamples,noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));31 "Goldstein 12.80: 1/(2*m)*(p**2+m**2*omega**2*x**2*(1+alpha*x/y)) | {0}", 32 noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio)); 33 33 } 34 34 } … … 37 37 38 38 protected override string[] VariableNames { 39 get { return n ew[] {"m", "omega", "p", "y", "x", "alpha", noiseRatio == null ? "E_n" : "E_n_noise"}; }39 get { return noiseRatio == null ? new[] { "m", "omega", "p", "y", "x", "alpha", "E_n" } : new[] { "m", "omega", "p", "y", "x", "alpha", "E_n", "E_n_noise" }; } 40 40 } 41 41 … … 77 77 } 78 78 79 if (noiseRatio != null) { 80 var E_n_noise = new List<double>(); 81 var sigma_noise = (double) noiseRatio * E_n.StandardDeviationPop(); 82 E_n_noise.AddRange(E_n.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise))); 83 data.Remove(E_n); 84 data.Add(E_n_noise); 85 } 79 var targetNoise = ValueGenerator.GenerateNoise(E_n, rand, noiseRatio); 80 if (targetNoise != null) data.Add(targetNoise); 86 81 87 82 return data;
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