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source: branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.3/Implementations/HistogramContent.cs @ 10908

Last change on this file since 10908 was 10908, checked in by mleitner, 10 years ago

Add Feature correlation matrix, Add limit for distinct values in histogramm classification.

File size: 1.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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.Drawing;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25
26namespace HeuristicLab.DataPreprocessing {
27  [Item("Histogram", "Represents the histogram grid.")]
28  public class HistogramContent : PreprocessingChartContent {
29
30    private int classifierVariableIndex = 0;
31
32    public HistogramContent(IChartLogic chartlogic) :base(chartlogic) {
33      AllInOneMode = false;
34    }
35
36    public HistogramContent(HistogramContent content, Cloner cloner)
37      : base(content, cloner) {
38    }
39
40    public int ClassifierVariableIndex
41    {
42      get { return this.classifierVariableIndex; }
43      set { this.classifierVariableIndex = value; }
44    }
45
46
47    public static new Image StaticItemImage {
48      get { return HeuristicLab.Common.Resources.VSImageLibrary.Statistics; }
49    }
50
51    public override IDeepCloneable Clone(Cloner cloner) {
52      return new HistogramContent(this, cloner);
53    }
54  }
55}
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