source: branches/FitnessLandscapeAnalysis/HeuristicLab.Analysis.FitnessLandscape/Analysis/Aggregators/InformationAnalysisPeakAggregator.cs @ 12064

using System;
using System.Collections.Generic;
using System.Drawing;
using System.Linq;
using HeuristicLab.Analysis.FitnessLandscape.DataTables;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Data;

namespace HeuristicLab.Analysis.FitnessLandscape {

  [Item("InformationAnalysis Peak Aggregator", "Aggregates peak information anlyses.")]
  [StorableClass]
  public class InformationAnalysisPeakAggregator : Aggregator<InformationAnalysisTable> {

    [StorableConstructor]
    protected InformationAnalysisPeakAggregator(bool deserializing) : base(deserializing) { }
    protected InformationAnalysisPeakAggregator(InformationAnalysisPeakAggregator original, Cloner cloner) : base(original, cloner) { }
    public InformationAnalysisPeakAggregator() { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new InformationAnalysisPeakAggregator(this, cloner);
    }

    public override IResult CreateResult() {
      return new Result("Inf. Peak", Aggregate(items, 10));
    }

    public static ResultCollection Aggregate(List<InformationAnalysisTable> informationAnalysisTables, int nQuantiles) {
      var informationContent = new List<PointD>();
      var partialInformationContent = new List<PointD>();
      var densityBasinInformation = new List<PointD>();
      foreach (var table in informationAnalysisTables) {
        List<double> deltas = table.Rows["Quality Delta"].Values.ToList();
        informationContent.Add(GetPeak(deltas, table.Rows["Information Content"].Values));
        partialInformationContent.Add(GetPeak(deltas, table.Rows["Partial Information Content"].Values));
        densityBasinInformation.Add(GetPeak(deltas, table.Rows["Density Basin Information"].Values));
      }
      var results = new ResultCollection();
      results.AddRange(CreateSummary("Q Delt", "Inf Cont", informationContent, true));
      results.AddRange(CreateSummary("Q Delt", "Part Inf Cont", partialInformationContent, false));
      results.AddRange(CreateSummary("Q Delt", "Dens Bas Inf", densityBasinInformation, false));
      return results;
    }

    private static PointD GetPeak(IEnumerable<double> index, IEnumerable<double> value) {
      var max = index.Zip(value, (i, v) => new { i, v }).OrderByDescending(p => p.v).First();
      return new PointD(max.i, max.v);
    }

    private class PointD : IComparable<PointD> {
      public double X;
      public double Y;
      public PointD(double x, double y) {
        X = x;
        Y = y;
      }

      public int CompareTo(PointD other) {
        return X.CompareTo(other.X);
      }
    }

    private static IEnumerable<IResult> CreateSummary(string xName, string yName, IEnumerable<PointD> values, bool showX) {
      var xAnalyzer = new DistributionAnalyzer(values.Select(p => p.X));
      var yAnalyzer = new DistributionAnalyzer(values.Select(p => p.Y));
      if (showX) {
        yield return new Result(xName + " Avg", new DoubleValue(xAnalyzer.Mean));
        yield return new Result(xName + " Quart-Spread", new DoubleValue(xAnalyzer[0.75] - xAnalyzer[0.25]));
        yield return new Result(xName + " 90%-Spread", new DoubleValue(xAnalyzer[0.95] - xAnalyzer[0.05]));
        yield return new Result(xName + " Range", new DoubleValue(xAnalyzer[1] - xAnalyzer[0]));
      }
      yield return new Result(yName + " Avg", new DoubleValue(yAnalyzer.Mean));
      yield return new Result(yName + " Quart-Spread", new DoubleValue(yAnalyzer[0.75] - yAnalyzer[0.25]));
      yield return new Result(yName + " 90%-Spread", new DoubleValue(yAnalyzer[0.95] - yAnalyzer[0.05]));
      yield return new Result(yName + " Range", new DoubleValue(yAnalyzer[1] - yAnalyzer[0]));

      yield return new Result(string.Format("{0}/{1} Quart-Spread", xName, yName), new DoubleValue(
        Math.Sqrt(sqr(xAnalyzer[0.75] - xAnalyzer[0.25]) + sqr(yAnalyzer[0.75] - yAnalyzer[0.25]))));
      yield return new Result(string.Format("{0}/{1} 90%-Spread", xName, yName), new DoubleValue(
        Math.Sqrt(sqr(xAnalyzer[0.95] - xAnalyzer[0.05]) + sqr(yAnalyzer[0.75] - yAnalyzer[0.25]))));
      yield return new Result(string.Format("{0}/{1} Range", xName, yName), new DoubleValue(
        Math.Sqrt(sqr(xAnalyzer[1] - xAnalyzer[0]) + sqr(yAnalyzer[1] - yAnalyzer[0]))));
    }

    private static double sqr(double x) {
      return x * x;
    }
  }
}