[6802] | 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.Data.Views;
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| 26 | using HeuristicLab.MainForm;
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| 27 | using HeuristicLab.MainForm.WindowsForms;
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| 28 |
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| 29 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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| 30 | [View("Estimated Values")]
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| 31 | [Content(typeof(ITimeSeriesPrognosisSolution))]
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| 32 | public partial class TimeSeriesPrognosisSolutionEstimatedValuesView : DataAnalysisSolutionEvaluationView {
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| 33 | private const string TARGETVARIABLE_SERIES_NAME = "Target Variable";
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| 34 | private const string PROGNOSEDVALUES_SERIES_NAME = "Prognosed Values (all)";
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| 35 | private const string PROGNOSEDVALUES_TRAINING_SERIES_NAME = "Prognosed Values (training)";
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| 36 | private const string PROGNOSEDVALUES_TEST_SERIES_NAME = "Prognosed Values (test)";
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| 37 |
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| 38 | public new ITimeSeriesPrognosisSolution Content {
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| 39 | get { return (ITimeSeriesPrognosisSolution)base.Content; }
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| 40 | set {
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| 41 | base.Content = value;
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| 42 | }
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| 43 | }
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| 44 |
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| 45 | private StringConvertibleMatrixView matrixView;
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| 46 |
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| 47 | public TimeSeriesPrognosisSolutionEstimatedValuesView()
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| 48 | : base() {
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| 49 | InitializeComponent();
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| 50 | matrixView = new StringConvertibleMatrixView();
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| 51 | matrixView.ShowRowsAndColumnsTextBox = false;
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| 52 | matrixView.ShowStatisticalInformation = false;
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| 53 | matrixView.Dock = DockStyle.Fill;
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| 54 | this.Controls.Add(matrixView);
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| 55 | }
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| 56 |
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| 57 | #region events
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| 58 | protected override void RegisterContentEvents() {
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| 59 | base.RegisterContentEvents();
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| 60 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
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| 61 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
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| 62 | }
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| 63 |
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| 64 | protected override void DeregisterContentEvents() {
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| 65 | base.DeregisterContentEvents();
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| 66 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
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| 67 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
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| 68 | }
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| 69 |
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| 70 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
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| 71 | OnContentChanged();
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| 72 | }
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| 73 |
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| 74 | private void Content_ModelChanged(object sender, EventArgs e) {
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| 75 | OnContentChanged();
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| 76 | }
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| 77 |
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| 78 | protected override void OnContentChanged() {
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| 79 | base.OnContentChanged();
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| 80 | UpdateEstimatedValues();
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| 81 | }
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| 82 |
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| 83 | private void UpdateEstimatedValues() {
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| 84 | if (InvokeRequired) Invoke((Action)UpdateEstimatedValues);
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| 85 | else {
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| 86 | StringMatrix matrix = null;
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| 87 | if (Content != null) {
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| 88 | string[,] values = new string[Content.ProblemData.Dataset.Rows, 7];
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| 89 |
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| 90 | double[] target = Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray();
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| 91 | var prognosed = Content.PrognosedValues.GetEnumerator();
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| 92 | var prognosed_training = Content.PrognosedTrainingValues.GetEnumerator();
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| 93 | var prognosed_test = Content.PrognosedTestValues.GetEnumerator();
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| 94 |
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| 95 | foreach (var row in Content.ProblemData.TrainingIndizes) {
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| 96 | prognosed_training.MoveNext();
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| 97 | values[row, 3] = prognosed_training.Current.ToString();
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| 98 | }
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| 99 |
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| 100 | foreach (var row in Content.ProblemData.TestIndizes) {
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| 101 | prognosed_test.MoveNext();
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| 102 | values[row, 4] = prognosed_test.Current.ToString();
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| 103 | }
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| 104 |
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| 105 | foreach (var row in Enumerable.Range(0, Content.ProblemData.Dataset.Rows)) {
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| 106 | prognosed.MoveNext();
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| 107 | double est = prognosed.Current;
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| 108 | double res = Math.Abs(est - target[row]);
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| 109 | values[row, 0] = row.ToString();
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| 110 | values[row, 1] = target[row].ToString();
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| 111 | values[row, 2] = est.ToString();
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| 112 | values[row, 5] = Math.Abs(res).ToString();
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| 113 | values[row, 6] = Math.Abs(res / est).ToString();
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| 114 | }
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| 115 |
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| 116 | matrix = new StringMatrix(values);
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| 117 | matrix.ColumnNames = new string[] { "Id", TARGETVARIABLE_SERIES_NAME, PROGNOSEDVALUES_SERIES_NAME, PROGNOSEDVALUES_TRAINING_SERIES_NAME, PROGNOSEDVALUES_TEST_SERIES_NAME, "Absolute Error (all)", "Relative Error (all)" };
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| 118 | matrix.SortableView = true;
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| 119 | }
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| 120 | matrixView.Content = matrix;
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| 121 | }
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| 122 | }
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| 123 | #endregion
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| 124 | }
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| 125 | }
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