source: stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.Views/3.4/InteractiveSymbolicRegressionSolutionSimplifierView.cs @ 17057

Last change on this file since 17057 was 17057, checked in by mkommend, 3 years ago

#2844: Merged r16798 into stable.

File size: 3.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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 HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
24using HeuristicLab.MainForm;
25using HeuristicLab.Problems.DataAnalysis.Symbolic.Views;
26
27namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.Views {
28  public partial class InteractiveSymbolicRegressionSolutionSimplifierView : InteractiveSymbolicDataAnalysisSolutionSimplifierView {
29    public new SymbolicRegressionSolution Content {
30      get { return (SymbolicRegressionSolution)base.Content; }
31      set { base.Content = value; }
32    }
33
34    public InteractiveSymbolicRegressionSolutionSimplifierView()
35      : base(new SymbolicRegressionSolutionImpactValuesCalculator()) {
36      InitializeComponent();
37      this.Caption = "Interactive Regression Solution Simplifier";
38    }
39
40    protected override void UpdateModel(ISymbolicExpressionTree tree) {
41      var model = new SymbolicRegressionModel(Content.ProblemData.TargetVariable, tree, Content.Model.Interpreter, Content.Model.LowerEstimationLimit, Content.Model.UpperEstimationLimit);
42      model.Scale(Content.ProblemData);
43      Content.Model = model;
44    }
45
46    protected override ISymbolicExpressionTree OptimizeConstants(ISymbolicExpressionTree tree, IProgress progress) {
47      const int constOptIterations = 50;
48      const int maxRepetitions = 1000;
49      var regressionProblemData = Content.ProblemData;
50      var model = Content.Model;
51      progress.CanBeStopped = true;
52      var prevResult = 0.0;
53      var result = 0.0;
54      int reps = 0;
55
56      do {
57        prevResult = result;
58        result = SymbolicRegressionConstantOptimizationEvaluator.OptimizeConstants(model.Interpreter, tree, regressionProblemData, regressionProblemData.TrainingIndices,
59          applyLinearScaling: true, maxIterations: constOptIterations, updateVariableWeights: true, lowerEstimationLimit: model.LowerEstimationLimit, upperEstimationLimit: model.UpperEstimationLimit,
60          iterationCallback: (args, func, obj) => {
61            double newProgressValue = progress.ProgressValue + 1.0 / (constOptIterations + 2); // (maxIterations + 2) iterations are reported
62            progress.ProgressValue = Math.Min(newProgressValue, 1.0);
63          });
64        reps++;
65      } while (prevResult < result && reps < maxRepetitions &&
66               progress.ProgressState != ProgressState.StopRequested &&
67               progress.ProgressState != ProgressState.CancelRequested);
68      return tree;
69    }
70  }
71}
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