source: branches/3040_VectorBasedGP/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VectorData/VectorDataTestTwo.cs

#region License Information
/* HeuristicLab
 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
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 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Core;
using HeuristicLab.Random;
using DoubleVector = MathNet.Numerics.LinearAlgebra.Vector<double>;

namespace HeuristicLab.Problems.Instances.DataAnalysis {
  public abstract class VectorDataTestTwo : ArtificialRegressionDataDescriptor {

    protected const int Rows = 1000;

    public override string Description { get { return ""; } }

    protected override string TargetVariable { get { return "Y"; } }
    protected override string[] VariableNames { get { return new string[] { "X1", "X2", "X3", "V1", "V2", "Y" }; } }
    protected override string[] AllowedInputVariables { get { return new string[] { "X1", "X2", "X3", "V1", "V2" }; } }
    protected override int TrainingPartitionStart { get { return 0; } }
    protected override int TrainingPartitionEnd { get { return Rows * 3 / 4; } }
    protected override int TestPartitionStart { get { return TrainingPartitionEnd; } }
    protected override int TestPartitionEnd { get { return Rows; } }

    public int Seed { get; private set; }

    protected VectorDataTestTwo()
      : this((int)DateTime.Now.Ticks) { }
    protected VectorDataTestTwo(int seed)
      : base() {
      Seed = seed;
    }


    protected override List<List<double>> GenerateValues() { return null; }
    protected override List<IList> GenerateValuesExtended() {
      var rand = new MersenneTwister((uint)Seed);

      double x1, x2, x3;
      DoubleVector v1, v2;
      double y;

      var x1Column = new List<double>(Rows);
      var x2Column = new List<double>(Rows);
      var x3Column = new List<double>(Rows);
      var v1Column = new List<DoubleVector>(Rows);
      var v2Column = new List<DoubleVector>(Rows);
      var yColumn = new List<double>(Rows);

      var vectorLengths = GetVectorLengths(rand);
      for (int i = 0; i < Rows; i++) {
        x1 = rand.NextDouble(-2, 2);
        x2 = rand.NextDouble(4, 6);
        x3 = rand.NextDouble(0, 1);
        int v1Length = vectorLengths[0][i];
        int v2Length = vectorLengths[1][i];
        v1 = rand.NextDoubleVector(-2, 2, v1Length);
        v2 = rand.NextDoubleVector(2, 4, v2Length);

        y = x1 * v1.PointwiseExp().PointwiseMultiply(x2 - v2 - 2).Sum();

        x1Column.Add(x1);
        x2Column.Add(x2);
        x3Column.Add(x3);
        v1Column.Add(v1);
        v2Column.Add(v2);
        yColumn.Add(y);
      }

      return new List<IList> { x1Column, x2Column, x3Column, v1Column, v2Column, yColumn };
    }

    protected abstract List<int>[] GetVectorLengths(IRandom rand);
  }

  public class VectorDataTestTwoA : VectorDataTestTwo {
    public override string Name {
      get { return "Vector Data Test - II [fully-constrained]: Y = X1 * sum(exp(V1) * (X2 - V2 - 2))"; }
    }

    public VectorDataTestTwoA() : base() { }
    public VectorDataTestTwoA(int seed) : base(seed) { }

    protected override List<int>[] GetVectorLengths(IRandom rand) {
      // always same length
      const int length = 5;
      return new List<int>[2] {
        Enumerable.Repeat(length, Rows).ToList(),
        Enumerable.Repeat(length, Rows).ToList()
      };
    }
  }

  public class VectorDataTestTwoB : VectorDataTestTwo {
    public override string Name { get { return "Vector Data Test - II [row-constrained]: Y = X1 * sum(exp(V1) * (X2 - V2 - 2))"; } }

    public VectorDataTestTwoB() : base() { }
    public VectorDataTestTwoB(int seed) : base(seed) { }

    protected override List<int>[] GetVectorLengths(IRandom rand) {
      // length between length 4 and 8, same row always the same length
      var lengths = Enumerable.Range(0, Rows).Select(i => rand.Next(4, 8)).ToList();
      return new List<int>[2] {
        Enumerable.Range(0, Rows).Select(i => lengths[i]).ToList(),
        Enumerable.Range(0, Rows).Select(i => lengths[i]).ToList()
      };
    }
  }

  //public class VectorDataTestTwoC : VectorDataTestTwo {
  //  public override string Name { get { return "Vector Data Test - II [column-constrained]: Y = X1 * sum(exp(V1) * (X2 - V2 - 2))"; } }

  //  public VectorDataTestTwoC() : base() { }
  //  public VectorDataTestTwoC(int seed) : base(seed) { }

  //  protected override List<int>[] GetVectorLengths(IRandom rand) {
  //    // length between length 4 and 8; each feature is same length
  //    // force two different lengths
  //    int v1Length = rand.Next(4, 8);
  //    int v2Length;
  //    do {
  //      v2Length = rand.Next(4, 8);
  //    } while (v1Length != v2Length);
  //    return new List<int>[2] {
  //      Enumerable.Repeat(v1Length, Rows).ToList(),
  //      Enumerable.Repeat(v2Length, Rows).ToList()
  //    };
  //  }
  //}

  //public class VectorDataTestTwoD : VectorDataTestTwo {
  //  public override string Name { get { return "Vector Data Test - II [unconstrained]: Y = X1 * sum(exp(V1) * (X2 - V2 - 2))"; } }

  //  public VectorDataTestTwoD() : base() { }
  //  public VectorDataTestTwoD(int seed) : base(seed) { }

  //  protected override List<int>[] GetVectorLengths(IRandom rand) {
  //    // always random between 4 and 8
  //    return new List<int>[2] {
  //        Enumerable.Range(0, Rows).Select(i => rand.Next(4, 8)).ToList(),
  //        Enumerable.Range(0, Rows).Select(i => rand.Next(4, 8)).ToList()
  //      };
  //  }
  //}
}