source: branches/HeuristicLab.EvolutionTracking/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Tracking/Analyzers/SymbolicDataAnalysisSubtreeSampleCountAnalyzer.cs @ 12225

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2015 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
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * 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.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.EvolutionTracking;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Tracking.Analyzers {
  [Item("SymbolicDataAnalysisSubtreeSampleCountAnalyzer", "An analyzer for trace graph overlap.")]
  [StorableClass]
  public class SymbolicDataAnalysisSubtreeSampleCountAnalyzer : EvolutionTrackingAnalyzer<ISymbolicExpressionTree> {
    private readonly TraceCalculator traceCalculator = new TraceCalculator { UpdateVertexWeights = true, UpdateSubtreeWeights = true, CacheTraceNodes = true };

    public SymbolicDataAnalysisSubtreeSampleCountAnalyzer() {
      UpdateCounterParameter.ActualName = "TraceOverlapAnalyzerUpdateCounter";
    }

    private SymbolicDataAnalysisSubtreeSampleCountAnalyzer(SymbolicDataAnalysisSubtreeSampleCountAnalyzer original, Cloner cloner)
      : base(original, cloner) {
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new SymbolicDataAnalysisSubtreeSampleCountAnalyzer(this, cloner);
    }

    public override void ClearState() {
      base.ClearState();
      traceCalculator.ResetState();
    }

    public override void InitializeState() {
      traceCalculator.ResetState();
    }

    [StorableConstructor]
    private SymbolicDataAnalysisSubtreeSampleCountAnalyzer(bool deserializing) : base(deserializing) { }

    public override IOperation Apply() {
      int updateInterval = UpdateIntervalParameter.Value.Value;
      IntValue updateCounter = UpdateCounterParameter.ActualValue;
      // if counter does not yet exist then initialize it with update interval
      // to make sure the solutions are analyzed on the first application of this operator
      if (updateCounter == null) {
        updateCounter = new IntValue(updateInterval);
        UpdateCounterParameter.ActualValue = updateCounter;
      }
      //analyze solutions only every 'updateInterval' times
      if (updateCounter.Value != updateInterval) {
        updateCounter.Value++;
        return base.Apply();
      }
      updateCounter.Value = 1;

      if (PopulationGraph == null)
        return base.Apply();

      double avgTraceOverlap = 0;

      if (Generation.Value > 0) {
        var rank = PopulationGraph.GetByRank(Generation.Value).Cast<IGenealogyGraphNode<ISymbolicExpressionTree>>().ToList();
        foreach (var n in rank) {
          // during the trace the SymbolicExpressionTreeNode weights will be updated behind the scenes
          // the weights represent the sample count of each subtree
          var trace = traceCalculator.Trace(n, 2, false);
          foreach (var v in trace.Vertices) {
            var g = PopulationGraph.GetByContent(v.Data);
            g.Weight = v.Weight;
          }
        }
      }
      return base.Apply();
    }
  }
}