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source: branches/HeuristicLab.Problems.Orienteering/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.Views/3.4/SymbolicRegressionSolutionView.cs @ 11185

Last change on this file since 11185 was 11185, checked in by pfleck, 10 years ago

#2208 merged trunk and updated version info

File size: 3.7 KB
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[3915]1#region License Information
2/* HeuristicLab
[11185]3 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3915]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;
[10540]23using System.ComponentModel;
[11093]24using System.Linq;
[3915]25using System.Windows.Forms;
26using HeuristicLab.MainForm;
[10540]27using HeuristicLab.Problems.DataAnalysis.Symbolic.Views;
[5699]28using HeuristicLab.Problems.DataAnalysis.Views;
[3915]29
[5699]30namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.Views {
[6652]31  [Content(typeof(SymbolicRegressionSolution), false)]
[5834]32  [View("SymbolicRegressionSolution View")]
[5829]33  public partial class SymbolicRegressionSolutionView : RegressionSolutionView {
[3915]34    public SymbolicRegressionSolutionView() {
35      InitializeComponent();
36    }
37
[5717]38    protected new SymbolicRegressionSolution Content {
39      get { return (SymbolicRegressionSolution)base.Content; }
[4068]40      set { base.Content = value; }
[3915]41    }
42
[10540]43    protected override void SetEnabledStateOfControls() {
44      base.SetEnabledStateOfControls();
[11093]45      btnSimplify.Enabled = Content != null && !Locked && Content.ProblemData.TrainingIndices.Any(); // simplification is only possible if there are trainings samples
[10540]46      exportButton.Enabled = Content != null && !Locked;
[11114]47      transformModelButton.Visible = Content != null && Content.ProblemData.Transformations.Any();
48      transformModelButton.Enabled = Content != null && !Locked;
[10540]49    }
50
[3915]51    private void btn_SimplifyModel_Click(object sender, EventArgs e) {
[11114]52      var view = new InteractiveSymbolicRegressionSolutionSimplifierView();
[5717]53      view.Content = (SymbolicRegressionSolution)this.Content.Clone();
[3915]54      view.Show();
55    }
[10540]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()) {
[10894]63          MainFormManager.GetMainForm<MainForm.WindowsForms.MainForm>().AddOperationProgressToView(this, "Exporting solution to " + name + ".");
[10540]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    }
[11114]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
[11185]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);
[11114]82    }
[3915]83  }
84}
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