1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 | using System;
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22 | using System.Linq;
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23 | using System.Windows.Forms;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.MainForm;
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26 | using HeuristicLab.MainForm.WindowsForms;
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27 |
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28 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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29 | [View("Estimated Class Values")]
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30 | [Content(typeof(IDiscriminantFunctionClassificationSolution))]
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31 | public partial class DiscriminantFunctionClassificationSolutionEstimatedClassValuesView : ClassificationSolutionEstimatedClassValuesView {
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32 | private const string TargetClassValuesSeriesname = "TargetVariable";
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33 | private const string EstimatedClassValuesSeriesName = "EstimatedClassValues";
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34 | private const string EstimatedValuesSeriesName = "EstimatedValues";
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35 |
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36 | public new IDiscriminantFunctionClassificationSolution Content {
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37 | get { return (IDiscriminantFunctionClassificationSolution)base.Content; }
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38 | set { base.Content = value; }
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39 | }
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40 |
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41 | public DiscriminantFunctionClassificationSolutionEstimatedClassValuesView()
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42 | : base() {
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43 | InitializeComponent();
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44 | }
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45 |
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46 | protected override void UpdateEstimatedValues() {
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47 | if (InvokeRequired) Invoke((Action)UpdateEstimatedValues);
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48 | else {
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49 | StringMatrix matrix = null;
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50 | if (Content != null) {
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51 | string[,] values = new string[Content.ProblemData.Dataset.Rows, 4];
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52 |
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53 | double[] target = Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray();
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54 | double[] estimatedClassValues = Content.EstimatedClassValues.ToArray();
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55 | double[] estimatedValues = Content.EstimatedValues.ToArray();
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56 | for (int row = 0; row < target.Length; row++) {
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57 | values[row, 0] = row.ToString();
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58 | values[row, 1] = target[row].ToString();
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59 | values[row, 2] = estimatedClassValues[row].ToString();
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60 | values[row, 3] = estimatedValues[row].ToString();
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61 | }
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62 |
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63 | matrix = new StringMatrix(values);
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64 | matrix.ColumnNames = new string[] { "Id", TargetClassValuesSeriesname, EstimatedClassValuesSeriesName, EstimatedValuesSeriesName };
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65 | matrix.SortableView = true;
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66 | }
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67 | matrixView.Content = matrix;
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68 | }
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69 | }
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70 | }
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71 | }
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