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source: branches/2929_PrioritizedGrammarEnumeration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.Views/3.4/SymbolicRegressionSolutionView.cs @ 16189

Last change on this file since 16189 was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 3.8 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 System.ComponentModel;
24using System.Linq;
25using System.Windows.Forms;
26using HeuristicLab.MainForm;
27using HeuristicLab.Problems.DataAnalysis.Symbolic.Views;
28using HeuristicLab.Problems.DataAnalysis.Views;
29
30namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.Views {
31  [Content(typeof(SymbolicRegressionSolution), false)]
32  [View("SymbolicRegressionSolution View")]
33  public partial class SymbolicRegressionSolutionView : RegressionSolutionView {
34    public SymbolicRegressionSolutionView() {
35      InitializeComponent();
36    }
37
38    protected new SymbolicRegressionSolution Content {
39      get { return (SymbolicRegressionSolution)base.Content; }
40      set { base.Content = value; }
41    }
42
43    protected override void SetEnabledStateOfControls() {
44      base.SetEnabledStateOfControls();
45      btnSimplify.Enabled = Content != null && !Locked && Content.ProblemData.TrainingIndices.Any(); // simplification is only possible if there are trainings samples
46      exportButton.Enabled = Content != null && !Locked;
47      transformModelButton.Visible = Content != null && Content.ProblemData.Transformations.Any();
48      transformModelButton.Enabled = Content != null && !Locked;
49    }
50
51    private void btn_SimplifyModel_Click(object sender, EventArgs e) {
52      var view = new InteractiveSymbolicRegressionSolutionSimplifierView();
53      view.Show(); // open view first that a progress can be displayed when setting the content
54      view.Content = (SymbolicRegressionSolution)this.Content.Clone();
55    }
56
57    private void exportButton_Click(object sender, EventArgs e) {
58      var exporter = new SymbolicSolutionExcelExporter();
59      exportFileDialog.Filter = exporter.FileTypeFilter;
60      if (exportFileDialog.ShowDialog(this) == DialogResult.OK) {
61        var name = exportFileDialog.FileName;
62        using (BackgroundWorker bg = new BackgroundWorker()) {
63          MainFormManager.GetMainForm<MainForm.WindowsForms.MainForm>().AddOperationProgressToView(this, "Exporting solution to " + name + ".");
64          bg.DoWork += (o, a) => exporter.Export(Content, name);
65          bg.RunWorkerCompleted += (o, a) => MainFormManager.GetMainForm<MainForm.WindowsForms.MainForm>().RemoveOperationProgressFromView(this);
66          bg.RunWorkerAsync();
67        }
68      }
69    }
70
71    private void transformModelButton_Click(object sender, EventArgs e) {
72      var mapper = new TransformationToSymbolicTreeMapper();
73      var transformator = new SymbolicExpressionTreeBacktransformator(mapper);
74
75      var transformations = Content.ProblemData.Transformations;
76      var targetVar = Content.ProblemData.TargetVariable;
77
78      var transformedModel = (ISymbolicRegressionModel)transformator.Backtransform(Content.Model, transformations, targetVar);
79      var transformedSolution = new SymbolicRegressionSolution(transformedModel, (IRegressionProblemData)Content.ProblemData.Clone());
80
81      MainFormManager.MainForm.ShowContent(transformedSolution);
82    }
83  }
84}
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