Changeset 18086 for branches/2521_ProblemRefactoring/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman44.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/Feynman44.cs
r17678 r18086 29 29 get { 30 30 return string.Format( 31 "I.41.16 h*omega**3/(pi**2 * c**2 * (exp(h*omega/(kb*T))-1)) | {0} samples | {1}",32 trainingSamples,noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));31 "I.41.16 h*omega**3/(pi**2 * c**2 * (exp(h*omega/(kb*T))-1)) | {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[] {"omega", "T", "h", "kb", "c", noiseRatio == null ? "L_rad" : "L_rad_noise"}; }39 get { return noiseRatio == null ? new[] { "omega", "T", "h", "kb", "c", "L_rad" } : new[] { "omega", "T", "h", "kb", "c", "L_rad", "L_rad_noise" }; } 40 40 } 41 41 … … 75 75 } 76 76 77 if (noiseRatio != null) { 78 var L_rad_noise = new List<double>(); 79 var sigma_noise = (double) noiseRatio * L_rad.StandardDeviationPop(); 80 L_rad_noise.AddRange(L_rad.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise))); 81 data.Remove(L_rad); 82 data.Add(L_rad_noise); 83 } 77 var targetNoise = ValueGenerator.GenerateNoise(L_rad, rand, noiseRatio); 78 if (targetNoise != null) data.Add(targetNoise); 84 79 85 80 return data;
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