[8636] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12012] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8636] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 27 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Views;
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| 28 |
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| 29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views {
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| 30 | public abstract partial class InteractiveSymbolicClassificationSolutionSimplifierViewBase : InteractiveSymbolicDataAnalysisSolutionSimplifierView {
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[8946] | 31 | private readonly SymbolicClassificationSolutionImpactValuesCalculator calculator;
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[8636] | 32 |
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| 33 | public new ISymbolicClassificationSolution Content {
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| 34 | get { return (ISymbolicClassificationSolution)base.Content; }
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| 35 | set { base.Content = value; }
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| 36 | }
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| 37 |
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| 38 | public InteractiveSymbolicClassificationSolutionSimplifierViewBase()
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| 39 | : base() {
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| 40 | InitializeComponent();
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| 41 | this.Caption = "Interactive Classification Solution Simplifier";
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| 42 |
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[8946] | 43 | calculator = new SymbolicClassificationSolutionImpactValuesCalculator();
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[8636] | 44 | }
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| 45 |
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[8637] | 46 | /// <summary>
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| 47 | /// It is necessary to create new models of an unknown type with new trees in the simplifier.
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| 48 | /// For this purpose the cloner is used by registering the new tree as already cloned object and invoking the clone mechanism.
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| 49 | /// This results in a new model of the same type as the old one with an exchanged tree.
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| 50 | /// </summary>
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| 51 | /// <param name="tree">The new tree that should be included in the new object</param>
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| 52 | /// <returns></returns>
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[8636] | 53 | protected ISymbolicClassificationModel CreateModel(ISymbolicExpressionTree tree) {
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| 54 | var cloner = new Cloner();
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| 55 | cloner.RegisterClonedObject(Content.Model.SymbolicExpressionTree, tree);
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| 56 |
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| 57 | var model = (ISymbolicClassificationModel)Content.Model.Clone(cloner);
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| 58 | model.RecalculateModelParameters(Content.ProblemData, Content.ProblemData.TrainingIndices);
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| 59 | return model;
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| 60 | }
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| 61 | protected override Dictionary<ISymbolicExpressionTreeNode, double> CalculateReplacementValues(ISymbolicExpressionTree tree) {
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[8946] | 62 | return tree.Root.GetSubtree(0).GetSubtree(0).IterateNodesPrefix().ToDictionary(
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| 63 | n => n,
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| 64 | n => calculator.CalculateReplacementValue(Content.Model, n, Content.ProblemData, Content.ProblemData.TrainingIndices)
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| 65 | );
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[8636] | 66 | }
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| 67 |
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| 68 | protected override Dictionary<ISymbolicExpressionTreeNode, double> CalculateImpactValues(ISymbolicExpressionTree tree) {
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[10492] | 69 | var values = CalculateImpactAndReplacementValues(tree);
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| 70 | return values.ToDictionary(x => x.Key, x => x.Value.Item1);
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[8636] | 71 | }
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| 72 |
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[10492] | 73 | protected override Dictionary<ISymbolicExpressionTreeNode, Tuple<double, double>> CalculateImpactAndReplacementValues(ISymbolicExpressionTree tree) {
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| 74 | var impactAndReplacementValues = new Dictionary<ISymbolicExpressionTreeNode, Tuple<double, double>>();
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| 75 | foreach (var node in tree.Root.GetSubtree(0).GetSubtree(0).IterateNodesPrefix()) {
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| 76 | double impactValue, replacementValue;
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| 77 | calculator.CalculateImpactAndReplacementValues(Content.Model, node, Content.ProblemData, Content.ProblemData.TrainingIndices, out impactValue, out replacementValue);
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| 78 | impactAndReplacementValues.Add(node, new Tuple<double, double>(impactValue, replacementValue));
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| 79 | }
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| 80 | return impactAndReplacementValues;
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| 81 | }
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| 82 |
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[8636] | 83 | protected override void btnOptimizeConstants_Click(object sender, EventArgs e) {
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| 84 |
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| 85 | }
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| 86 | }
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| 87 | }
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