source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/SymbolicDataAnalysisSolutionImpactValuesCalculator.cs @ 14826

Last change on this file since 14826 was 14826, checked in by gkronber, 6 months ago

#2650: merged the factors branch into trunk

File size: 3.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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
22using System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
30  [StorableClass]
31  [Item("SymbolicDataAnalysisSolutionImpactValuesCalculator", "Calculates the impact values and replacements values for symbolic expression tree nodes.")]
32  public abstract class SymbolicDataAnalysisSolutionImpactValuesCalculator : Item, ISymbolicDataAnalysisSolutionImpactValuesCalculator {
33    protected SymbolicDataAnalysisSolutionImpactValuesCalculator() { }
34
35    protected SymbolicDataAnalysisSolutionImpactValuesCalculator(SymbolicDataAnalysisSolutionImpactValuesCalculator original, Cloner cloner)
36      : base(original, cloner) { }
37    [StorableConstructor]
38    protected SymbolicDataAnalysisSolutionImpactValuesCalculator(bool deserializing) : base(deserializing) { }
39    public abstract void CalculateImpactAndReplacementValues(ISymbolicDataAnalysisModel model, ISymbolicExpressionTreeNode node, IDataAnalysisProblemData problemData, IEnumerable<int> rows, out double impactValue, out double replacementValue, out double newQualityForImpactsCalculation, double qualityForImpactsCalculation = double.NaN);
40
41    protected IEnumerable<double> CalculateReplacementValues(ISymbolicExpressionTreeNode node, ISymbolicExpressionTree sourceTree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
42      IDataset dataset, IEnumerable<int> rows) {
43      //optimization: constant nodes return always the same value
44      ConstantTreeNode constantNode = node as ConstantTreeNode;
45      BinaryFactorVariableTreeNode binaryFactorNode = node as BinaryFactorVariableTreeNode;
46      FactorVariableTreeNode factorNode = node as FactorVariableTreeNode;
47      if (constantNode != null) {
48        yield return constantNode.Value;
49      } else if (binaryFactorNode != null) {
50        // valid replacements are either all off or all on
51        yield return 0;
52        yield return 1;
53      } else if (factorNode != null) {
54        foreach (var w in factorNode.Weights) yield return w;
55        yield return 0.0;
56      } else {
57        var rootSymbol = new ProgramRootSymbol().CreateTreeNode();
58        var startSymbol = new StartSymbol().CreateTreeNode();
59        rootSymbol.AddSubtree(startSymbol);
60        startSymbol.AddSubtree((ISymbolicExpressionTreeNode)node.Clone());
61
62        var tempTree = new SymbolicExpressionTree(rootSymbol);
63        // clone ADFs of source tree
64        for (int i = 1; i < sourceTree.Root.SubtreeCount; i++) {
65          tempTree.Root.AddSubtree((ISymbolicExpressionTreeNode)sourceTree.Root.GetSubtree(i).Clone());
66        }
67        yield return interpreter.GetSymbolicExpressionTreeValues(tempTree, dataset, rows).Median();
68        yield return interpreter.GetSymbolicExpressionTreeValues(tempTree, dataset, rows).Average(); // TODO perf
69      }
70    }
71  }
72}
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