Changeset 18027 for branches/3026_IntegrationIntoSymSpace/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman99.cs
- Timestamp:
- 07/20/21 18:13:55 (3 years ago)
- Location:
- branches/3026_IntegrationIntoSymSpace
- Files:
-
- 3 edited
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branches/3026_IntegrationIntoSymSpace
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branches/3026_IntegrationIntoSymSpace/HeuristicLab.Problems.Instances.DataAnalysis
- Property svn:mergeinfo changed
/trunk/HeuristicLab.Problems.Instances.DataAnalysis merged: 17931,17966-17967,17969,17973-17974
- Property svn:mergeinfo changed
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branches/3026_IntegrationIntoSymSpace/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman99.cs
r17805 r18027 37 37 38 38 protected override string[] VariableNames { 39 get { return n ew[] {"m", "q", "h", "n", "epsilon", noiseRatio == null ? "E_n" : "E_n_noise"}; }39 get { return noiseRatio == null ? new[] { "m", "q", "h", "n", "epsilon", "E_n" } : new[] { "m", "q", "h", "n", "epsilon", "E_n", "E_n_noise" }; } 40 40 } 41 41 … … 74 74 } 75 75 76 if (noiseRatio != null) { 77 var E_n_noise = new List<double>(); 78 var sigma_noise = (double) Math.Sqrt(noiseRatio.Value) * E_n.StandardDeviationPop(); 79 E_n_noise.AddRange(E_n.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise))); 80 data.Remove(E_n); 81 data.Add(E_n_noise); 82 } 76 var targetNoise = GetNoisyTarget(E_n, rand); 77 if (targetNoise != null) data.Add(targetNoise); 83 78 84 79 return data;
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