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source: branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman16.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: 1.5 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 Feynman16 : FeynmanDescriptor{
11 public override string Name { get { return "Feynman I.14.4 U = 1/2*k_spring*x^2"; } }
12
13 protected override string TargetVariable { get { return "U"; } }
14    protected override string[] VariableNames { get { return new string[] { "k_spring", "x", "U"}; } }
15    protected override string[] AllowedInputVariables { get { return new string[] {"k_spring", "x"}; } }
16
17    public int Seed { get; private set; }
18
19    public Feynman16() : this((int)System.DateTime.Now.Ticks) { }
20
21    public Feynman16(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 k_spring = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
30      var x = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 1, 5).ToList();
31
32      var U = new List<double>();
33
34      data.Add(k_spring);
35      data.Add(x);
36      data.Add(U);
37
38      for (var i = 0; i < k_spring.Count; i++) {
39        var res = 1.0 / 2 * k_spring[i] * Math.Pow(x[i], 2);
40        U.Add(res);
41      }
42
43      return data;
44    }
45  }
46}
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