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source: branches/OaaS/HeuristicLab.Problems.DataAnalysis.Views/3.4/MenuItems/CreateEnsembleMenuItem.cs @ 13419

Last change on this file since 13419 was 9363, checked in by spimming, 12 years ago

#1888:

  • Merged revisions from trunk
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 System.Windows.Forms;
26using HeuristicLab.Core;
27using HeuristicLab.MainForm;
28using HeuristicLab.MainForm.WindowsForms;
29using HeuristicLab.Optimization;
30using HeuristicLab.Optimization.Views;
31using HeuristicLab.Optimizer;
32
33namespace HeuristicLab.Problems.DataAnalysis.MenuItems {
34  internal class CreateEnsembleMenuItem : HeuristicLab.MainForm.WindowsForms.MenuItem, IOptimizerUserInterfaceItemProvider {
35    public override string Name {
36      get { return "Create &Solution Ensembles"; }
37    }
38    public override IEnumerable<string> Structure {
39      get { return new string[] { "&Edit" }; }
40    }
41    public override int Position {
42      get { return 2500; }
43    }
44    public override string ToolTipText {
45      get { return "Create ensembles of data analysis solutions from the solutions in the current optimizer."; }
46    }
47
48    protected override void OnToolStripItemSet(EventArgs e) {
49      ToolStripItem.Enabled = false;
50    }
51    protected override void OnActiveViewChanged(object sender, EventArgs e) {
52      IContentView activeView = MainFormManager.MainForm.ActiveView as IContentView;
53      ToolStripItem.Enabled = GetDataAnalysisResults(activeView).Any();
54    }
55    protected override void OnViewChanged(object sender, EventArgs e) {
56      base.OnViewChanged(sender, e);
57      IContentView activeView = MainFormManager.MainForm.ActiveView as IContentView;
58      ToolStripItem.Enabled = GetDataAnalysisResults(activeView).Any();
59    }
60
61    public override void Execute() {
62      IContentView activeView = MainFormManager.MainForm.ActiveView as IContentView;
63      var solutionGroups = from pair in GetDataAnalysisResults(activeView)
64                           group pair.Value by pair.Key into g
65                           select g;
66      foreach (var group in solutionGroups) {
67        // check if all solutions in the group are either only regression or only classification solutions
68        if (group.All(s => s is IRegressionSolution)) {
69          // show all regression ensembles
70          // clone problemdata (N.B. this assumes all solutions are based on the same problem data!)
71          var problemData = (RegressionProblemData)group
72            .OfType<IRegressionSolution>()
73            .First()
74            .ProblemData.Clone();
75          var ensemble = new RegressionEnsembleSolution(problemData);
76          ensemble.Name = group.Key + " ensemble";
77          var nestedSolutions = group.OfType<RegressionEnsembleSolution>().SelectMany(e => e.RegressionSolutions);
78          var solutions = group.Where(s => !(s is RegressionEnsembleSolution)).OfType<IRegressionSolution>();
79          ensemble.AddRegressionSolutions(nestedSolutions.Concat(solutions));
80          MainFormManager.MainForm.ShowContent(ensemble);
81        } else if (group.All(s => s is IClassificationSolution)) {
82          // show all classification ensembles
83          var problemData = (ClassificationProblemData)group
84            .OfType<IClassificationSolution>()
85            .First()
86            .ProblemData.Clone();
87          var ensemble = new ClassificationEnsembleSolution(Enumerable.Empty<IClassificationModel>(), problemData);
88          ensemble.Name = group.Key + " ensemble";
89          var nestedSolutions = group.OfType<ClassificationEnsembleSolution>().SelectMany(e => e.ClassificationSolutions);
90          var solutions = group.Where(s => !(s is ClassificationEnsembleSolution)).OfType<IClassificationSolution>();
91          ensemble.AddClassificationSolutions(nestedSolutions.Concat(solutions));
92          MainFormManager.MainForm.ShowContent(ensemble);
93        }
94      }
95    }
96
97    private IEnumerable<KeyValuePair<string, IItem>> GetDataAnalysisResults(IContentView view) {
98      var empty = Enumerable.Empty<KeyValuePair<string, IItem>>();
99      if (view == null) return empty;
100      if (view.Content == null) return empty;
101      if (view.Locked) return empty;
102
103      var optimizer = view.Content as IOptimizer;
104      if (optimizer != null) return GetDataAnalysisResults(optimizer.Runs);
105
106      RunCollectionBubbleChartView bubbleChart;
107      var viewHost = view as ViewHost;
108      if (viewHost != null)
109        bubbleChart = viewHost.ActiveView as RunCollectionBubbleChartView;
110      else bubbleChart = view as RunCollectionBubbleChartView;
111      if (bubbleChart != null && bubbleChart.SelectedRuns.Any()) return GetDataAnalysisResults(bubbleChart.SelectedRuns);
112
113      return empty;
114    }
115
116    private IEnumerable<KeyValuePair<string, IItem>> GetDataAnalysisResults(IEnumerable<IRun> runs) {
117      var allResults = from r in runs
118                       select r.Results;
119      return from r in allResults
120             from result in r
121             let s = result.Value as IDataAnalysisSolution
122             where s != null
123             select result;
124    }
125  }
126}
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