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source: branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman21.cs @ 17639

Last change on this file since 17639 was 17639, checked in by chaider, 4 years ago

#3075

  • Added rest of part I equations
  • Set Training/Test Partitions to 105
File size: 1.7 KB
Line 
1using System;
2using System.Collections.Generic;
3using System.Linq;
4using System.Text;
5using System.Threading.Tasks;
6using HeuristicLab.Common;
7using HeuristicLab.Random;
8
9namespace HeuristicLab.Problems.Instances.DataAnalysis {
10  public class Feynman21 : FeynmanDescriptor{
11 public override string Name { get { return "Feynman I.18.4 r = (m1*r1+m2*r2)/(m1+m2)"; } }
12
13 protected override string TargetVariable { get { return "r"; } }
14    protected override string[] VariableNames { get { return new string[] { "m1", "m2", "r1", "r2", "r"}; } }
15    protected override string[] AllowedInputVariables { get { return new string[] {"m1", "m2", "r1", "r2"}; } }
16
17    public int Seed { get; private set; }
18
19    public Feynman21() : this((int)System.DateTime.Now.Ticks) { }
20
21    public Feynman21(int seed) {
22      Seed = seed;
23    }
24
25    protected override List<List<double>> GenerateValues() {
26      var rand = new MersenneTwister((uint)Seed);
27
28      var data = new List<List<double>>();
29      var m1 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
30      var m2 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
31      var r1 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
32      var r2 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
33
34      var r = new List<double>();
35
36      data.Add(m1);
37      data.Add(m2);
38      data.Add(r1);
39      data.Add(r2);
40      data.Add(r);
41
42      for (var i = 0; i < m1.Count; i++) {
43        var res = (m1[i] * r1[i] + m2[i] * r2[i]) / (m1[i] + m2[i]);
44        r.Add(res);
45      }
46
47      return data;
48    }
49  }
50}
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