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Timestamp:
11/07/12 10:19:31 (11 years ago)
Author:
gkronber
Message:

#1967 worked on GPR evolution

Location:
branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Problems.Instances.DataAnalysis.GaussianProcessRegression
Files:
2 edited

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  • branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Problems.Instances.DataAnalysis.GaussianProcessRegression

    • Property svn:ignore set to
      obj
      Plugin.cs
      *.user
  • branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Problems.Instances.DataAnalysis.GaussianProcessRegression/GaussianProcessPolyTen.cs

    r8826 r8873  
    4848    protected override List<List<double>> GenerateValues() {
    4949      var mt = new MersenneTwister(31415);
    50       var normalRand = new NormalDistributedRandom(mt, 1, 1);
    5150
    5251      List<List<double>> data = new List<List<double>>();
    5352      for (int i = 0; i < AllowedInputVariables.Count(); i++) {
    54         data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -10, 10).ToList());
     53        data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -1, 1).ToList());
    5554      }
    5655
    5756
    58       var hyp = (from i in Enumerable.Range(0, 12) // for each CovSEiso
    59                  from j in Enumerable.Range(0, 2)  // for each parameter (length, scale)
    60                  select normalRand.NextDouble())
    61                  .Concat(new double[] { -5.0 }); // noise
     57      var hyp = new double[]
     58        {
     59          0.0, 0.0,
     60          0.0, 0.0,
     61          0.0, 0.0,
     62          0.0, 0.0,
     63          0.0, 0.0,
     64          0.0, 0.0,
     65          0.0, 0.0,
     66          0.0, 0.0,
     67          0.0, 0.0,
     68          0.0, 0.0,
     69          0.0, 0.0,
     70          0.0, 0.0,
     71          0.0, 0.0,
     72          0.0, 0.0,
     73          0.0, 0.0,
     74          -5.0 // noise
     75        };
     76       
    6277
    6378      var covarianceFunction = new CovarianceSum();
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