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source: branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman12.cs @ 17671

Last change on this file since 17671 was 17671, checked in by gkronber, 4 years ago

#3075: Removed "Feynman" prefix from all instances

File size: 2.7 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 Feynman12 : FeynmanDescriptor {
9    private readonly int testSamples;
10    private readonly int trainingSamples;
11
12    public Feynman12() : this((int) DateTime.Now.Ticks, 10000, 10000, null) { }
13
14    public Feynman12(int seed) {
15      Seed            = seed;
16      trainingSamples = 10000;
17      testSamples     = 10000;
18      noiseRatio      = null;
19    }
20
21    public Feynman12(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("I.12.5 q2*Ef | {0} samples | noise ({1})", trainingSamples,
31          noiseRatio == null ? "no noise" : noiseRatio.ToString());
32      }
33    }
34
35    protected override string TargetVariable { get { return noiseRatio == null ? "F" : "F_noise"; } }
36
37    protected override string[] VariableNames {
38      get { return new[] {"q2", "Ef", noiseRatio == null ? "F" : "F_noise"}; }
39    }
40
41    protected override string[] AllowedInputVariables { get { return new[] {"q2", "Ef"}; } }
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 q2   = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
55      var Ef   = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
56
57      var F = new List<double>();
58
59      data.Add(q2);
60      data.Add(Ef);
61      data.Add(F);
62
63      for (var i = 0; i < q2.Count; i++) {
64        var res = q2[i] * Ef[i];
65        F.Add(res);
66      }
67
68      if (noiseRatio != null) {
69        var F_noise     = new List<double>();
70        var sigma_noise = (double) noiseRatio * F.StandardDeviationPop();
71        F_noise.AddRange(F.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise)));
72        data.Remove(F);
73        data.Add(F_noise);
74      }
75
76      return data;
77    }
78  }
79}
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