source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views/3.4/InteractiveSymbolicClassificationSolutionSimplifierViewBase.cs @ 9456

Last change on this file since 9456 was 9456, checked in by swagner, 7 years ago

Updated copyright year and added some missing license headers (#1889)

File size: 3.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
27using HeuristicLab.Problems.DataAnalysis.Symbolic.Views;
28
29namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views {
30  public abstract partial class InteractiveSymbolicClassificationSolutionSimplifierViewBase : InteractiveSymbolicDataAnalysisSolutionSimplifierView {
31    private readonly SymbolicClassificationSolutionImpactValuesCalculator calculator;
32
33    public new ISymbolicClassificationSolution Content {
34      get { return (ISymbolicClassificationSolution)base.Content; }
35      set { base.Content = value; }
36    }
37
38    public InteractiveSymbolicClassificationSolutionSimplifierViewBase()
39      : base() {
40      InitializeComponent();
41      this.Caption = "Interactive Classification Solution Simplifier";
42
43      calculator = new SymbolicClassificationSolutionImpactValuesCalculator();
44    }
45
46    /// <summary>
47    /// It is necessary to create new models of an unknown type with new trees in the simplifier.
48    /// For this purpose the cloner is used by registering the new tree as already cloned object and invoking the clone mechanism.
49    /// This results in a new model of the same type as the old one with an exchanged tree.
50    /// </summary>
51    /// <param name="tree">The new tree that should be included in the new object</param>
52    /// <returns></returns>
53    protected ISymbolicClassificationModel CreateModel(ISymbolicExpressionTree tree) {
54      var cloner = new Cloner();
55      cloner.RegisterClonedObject(Content.Model.SymbolicExpressionTree, tree);
56
57      var model = (ISymbolicClassificationModel)Content.Model.Clone(cloner);
58      model.RecalculateModelParameters(Content.ProblemData, Content.ProblemData.TrainingIndices);
59      return model;
60    }
61
62    protected override Dictionary<ISymbolicExpressionTreeNode, double> CalculateReplacementValues(ISymbolicExpressionTree tree) {
63      return tree.Root.GetSubtree(0).GetSubtree(0).IterateNodesPrefix().ToDictionary(
64        n => n,
65        n => calculator.CalculateReplacementValue(Content.Model, n, Content.ProblemData, Content.ProblemData.TrainingIndices)
66        );
67    }
68
69    protected override Dictionary<ISymbolicExpressionTreeNode, double> CalculateImpactValues(ISymbolicExpressionTree tree) {
70      return tree.Root.GetSubtree(0).GetSubtree(0).IterateNodesPrefix().ToDictionary(
71        n => n,
72        n => calculator.CalculateImpactValue(Content.Model, n, Content.ProblemData, Content.ProblemData.TrainingIndices, Content.TrainingAccuracy)
73        );
74    }
75
76    protected override void btnOptimizeConstants_Click(object sender, EventArgs e) {
77
78    }
79  }
80}
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