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source: trunk/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/TreeMatching/SymbolicExpressionTreePhenotypicSimilarityCalculator.cs @ 17975

Last change on this file since 17975 was 17180, checked in by swagner, 5 years ago

#2875: Removed years in copyrights

File size: 4.1 KB
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[12029]1#region License Information
2/* HeuristicLab
[17180]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[12029]4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
[12068]22using System;
[12029]23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
27using HeuristicLab.Optimization.Operators;
[16565]28using HEAL.Attic;
[12029]29
30namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
31  [Item("SymbolicExpressionTreePhenotypicSimilarityCalculator", "An operator that calculates the similarity betweeon two trees based on the correlation of their outputs.")]
[16565]32  [StorableType("163CE915-506E-472B-B77F-156ECC9D9C05")]
[12086]33  public class SymbolicExpressionTreePhenotypicSimilarityCalculator : SolutionSimilarityCalculator {
[12064]34    [Storable]
[12029]35    public IDataAnalysisProblemData ProblemData { get; set; }
[12064]36    [Storable]
[12029]37    public ISymbolicDataAnalysisExpressionTreeInterpreter Interpreter { get; set; }
38
[12086]39    protected override bool IsCommutative { get { return true; } }
40
[12029]41    [StorableConstructor]
[16565]42    protected SymbolicExpressionTreePhenotypicSimilarityCalculator(StorableConstructorFlag _) : base(_) { }
[12029]43
44    public SymbolicExpressionTreePhenotypicSimilarityCalculator(SymbolicExpressionTreePhenotypicSimilarityCalculator original, Cloner cloner)
45      : base(original, cloner) {
[12064]46      this.ProblemData = cloner.Clone(original.ProblemData);
47      this.Interpreter = cloner.Clone(original.Interpreter);
[12029]48    }
49
50    public override IDeepCloneable Clone(Cloner cloner) {
51      return new SymbolicExpressionTreePhenotypicSimilarityCalculator(this, cloner);
52    }
53
[12086]54    public SymbolicExpressionTreePhenotypicSimilarityCalculator() { }
[12029]55
56    public double CalculateSimilarity(ISymbolicExpressionTree t1, ISymbolicExpressionTree t2) {
[12068]57      if (Interpreter == null || ProblemData == null)
58        throw new InvalidOperationException("Cannot calculate phenotypic similarity when no interpreter or problem data were set.");
59
[12029]60      var v1 = Interpreter.GetSymbolicExpressionTreeValues(t1, ProblemData.Dataset, ProblemData.TrainingIndices);
61      var v2 = Interpreter.GetSymbolicExpressionTreeValues(t2, ProblemData.Dataset, ProblemData.TrainingIndices);
62
[12068]63      if (v1.Variance().IsAlmost(0) && v2.Variance().IsAlmost(0))
64        return 1.0;
65
[12029]66      OnlineCalculatorError error;
[12641]67      var r = OnlinePearsonsRCalculator.Calculate(v1, v2, out error);
[12029]68
[12839]69      var r2 = error == OnlineCalculatorError.None ? r * r : 0;
[12029]70
[12839]71      if (r2 > 1.0)
72        r2 = 1.0;
73
74      return r2;
[12029]75    }
76
77    public override double CalculateSolutionSimilarity(IScope leftSolution, IScope rightSolution) {
[12049]78      if (leftSolution == rightSolution)
79        return 1.0;
80
[12068]81      if (!leftSolution.Variables.ContainsKey("EstimatedValues") || !rightSolution.Variables.ContainsKey("EstimatedValues"))
82        throw new ArgumentException("No estimated values are present in the subscopes.");
83
[12029]84      var leftValues = (DoubleArray)leftSolution.Variables["EstimatedValues"].Value;
85      var rightValues = (DoubleArray)rightSolution.Variables["EstimatedValues"].Value;
[12055]86
87      if (leftValues.Variance().IsAlmost(0) && rightValues.Variance().IsAlmost(0))
88        return 1.0;
89
[12029]90      OnlineCalculatorError error;
[12641]91      var r = OnlinePearsonsRCalculator.Calculate(leftValues, rightValues, out error);
[12029]92
[12839]93      var r2 = error == OnlineCalculatorError.None ? r * r : 0;
[14354]94
95      if (r2 > 1.0)
96        r2 = 1.0;
97
[12839]98      return r2;
[12029]99    }
100  }
101}
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