source: trunk/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman1.cs @ 17974

Last change on this file since 17974 was 17974, checked in by chaider, 7 weeks ago

#3075 Fixed refactor issue for feynman1

File size: 2.8 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 Feynman1 : FeynmanDescriptor {
9    private readonly int testSamples;
10    private readonly int trainingSamples;
11
12    public Feynman1() : this((int) DateTime.Now.Ticks, 10000, 10000, null) { }
13
14    public Feynman1(int seed) {
15      Seed            = seed;
16      trainingSamples = 10000;
17      testSamples     = 10000;
18      noiseRatio      = null;
19    }
20
21    public Feynman1(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.6.20a exp(-theta**2/2)/sqrt(2*pi) | {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 ? "f" : "f_noise"; } }
36
37    protected override string[] VariableNames {
38      get { return noiseRatio == null ? new[] {"theta", "f"} : new[] { "theta", "f", "f_noise" }; }
39    }
40
41    protected override string[] AllowedInputVariables { get { return new[] {"theta"}; } }
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 theta = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 3).ToList();
55
56      var f = new List<double>();
57
58      data.Add(theta);
59      data.Add(f);
60
61      for (var i = 0; i < theta.Count; i++) {
62        var res = Math.Exp(Math.Pow(-theta[i], 2) / 2) / Math.Sqrt(2 * Math.PI);
63        f.Add(res);
64      }
65
66      /*if (noiseRatio != null) {
67        var f_noise     = new List<double>();
68        var sigma_noise = (double) Math.Sqrt(noiseRatio.Value) * f.StandardDeviationPop();
69        f_noise.AddRange(f.Select(md => md + NormalDistributedRandomPolar.NextDouble(rand, 0, sigma_noise)));
70        data.Remove(f);
71        data.Add(f_noise);
72      }*/
73      var targetNoise = GetNoisyTarget(f, rand);
74      if (targetNoise != null) data.Add(targetNoise);
75
76      return data;
77    }
78  }
79}
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