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source: branches/3026_IntegrationIntoSymSpace/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman85.cs @ 18027

Last change on this file since 18027 was 18027, checked in by dpiringe, 3 years ago

#3026

  • merged trunk into branch
File size: 2.6 KB
Line 
1using System;
2using System.Collections.Generic;
3using System.Linq;
4using HeuristicLab.Common;
5using HeuristicLab.Random;
6
7namespace HeuristicLab.Problems.Instances.DataAnalysis {
8  public class Feynman85 : FeynmanDescriptor {
9    private readonly int testSamples;
10    private readonly int trainingSamples;
11
12    public Feynman85() : this((int) DateTime.Now.Ticks, 10000, 10000, null) { }
13
14    public Feynman85(int seed) {
15      Seed            = seed;
16      trainingSamples = 10000;
17      testSamples     = 10000;
18      noiseRatio      = null;
19    }
20
21    public Feynman85(int seed, int trainingSamples, int testSamples, double? noiseRatio) {
22      Seed                 = seed;
23      this.trainingSamples = trainingSamples;
24      this.testSamples     = testSamples;
25      this.noiseRatio      = noiseRatio;
26    }
27
28    public override string Name {
29      get {
30        return string.Format("II.38.14 Y/(2*(1+sigma)) | {0}",
31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
32      }
33    }
34
35    protected override string TargetVariable { get { return noiseRatio == null ? "mu_S" : "mu_S_noise"; } }
36
37    protected override string[] VariableNames {
38      get { return noiseRatio == null ? new[] { "Y", "sigma", "mu_S" } : new[] { "Y", "sigma", "mu_S", "mu_S_noise" }; }
39    }
40
41    protected override string[] AllowedInputVariables { get { return new[] {"Y", "sigma"}; } }
42
43    public int Seed { get; private set; }
44
45    protected override int TrainingPartitionStart { get { return 0; } }
46    protected override int TrainingPartitionEnd { get { return trainingSamples; } }
47    protected override int TestPartitionStart { get { return trainingSamples; } }
48    protected override int TestPartitionEnd { get { return trainingSamples + testSamples; } }
49
50    protected override List<List<double>> GenerateValues() {
51      var rand = new MersenneTwister((uint) Seed);
52
53      var data  = new List<List<double>>();
54      var Y     = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
55      var sigma = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
56
57      var mu_S = new List<double>();
58
59      data.Add(Y);
60      data.Add(sigma);
61      data.Add(mu_S);
62
63      for (var i = 0; i < Y.Count; i++) {
64        var res = Y[i] / (2 * (1 + sigma[i]));
65        mu_S.Add(res);
66      }
67
68      var targetNoise = GetNoisyTarget(mu_S, rand);
69      if (targetNoise != null) data.Add(targetNoise);
70
71      return data;
72    }
73  }
74}
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