Changeset 18086 for branches/2521_ProblemRefactoring/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman86.cs
- Timestamp:
- 11/19/21 16:07:45 (3 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/Feynman86.cs
r17678 r18086 28 28 public override string Name { 29 29 get { 30 return string.Format("III.4.32 1/(exp(h*omega/(kb*T))-1) | {0} samples | {1}",31 trainingSamples,noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));30 return string.Format("III.4.32 1/(exp(h*omega/(kb*T))-1) | {0}", 31 noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio)); 32 32 } 33 33 } … … 36 36 37 37 protected override string[] VariableNames { 38 get { return n ew[] {"h", "omega", "kb", "T", noiseRatio == null ? "n" : "n_noise"}; }38 get { return noiseRatio == null ? new[] { "h", "omega", "kb", "T", "n" } : new[] { "h", "omega", "kb", "T", "n", "n_noise" }; } 39 39 } 40 40 … … 70 70 } 71 71 72 if (noiseRatio != null) { 73 var n_noise = new List<double>(); 74 var sigma_noise = (double) noiseRatio * n.StandardDeviationPop(); 75 n_noise.AddRange(n.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise))); 76 data.Remove(n); 77 data.Add(n_noise); 78 } 72 var targetNoise = ValueGenerator.GenerateNoise(n, rand, noiseRatio); 73 if (targetNoise != null) data.Add(targetNoise); 79 74 80 75 return data;
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