[13817] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2016 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 |
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| 22 | using System.Collections.Generic;
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[13808] | 23 | using System.Linq;
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| 24 | using System.Windows.Forms;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.MainForm;
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[13817] | 27 | using HeuristicLab.MainForm.WindowsForms;
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[13808] | 28 |
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| 29 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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| 30 | [View("Target Response Gradient View")]
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| 31 | [Content(typeof(IRegressionSolution))]
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| 32 | public partial class RegressionSolutionTargetResponseGradientView : DataAnalysisSolutionEvaluationView {
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| 33 | private ModifiableDataset internalDataset;
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| 34 | private Dictionary<string, GradientChart> charts;
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| 35 |
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| 36 | private const int Points = 1000;
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| 37 |
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| 38 | public RegressionSolutionTargetResponseGradientView() {
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| 39 | InitializeComponent();
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| 40 | }
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| 41 |
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| 42 | public new IRegressionSolution Content {
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| 43 | get { return (IRegressionSolution)base.Content; }
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| 44 | set {
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| 45 | if (value == null || value == Content) return;
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| 46 | base.Content = value;
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| 47 | }
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| 48 | }
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| 49 |
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| 50 | protected override void RegisterContentEvents() {
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| 51 | base.RegisterContentEvents();
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| 52 | variableListView.ItemChecked += variableListView_ItemChecked;
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| 53 | }
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| 54 |
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| 55 | protected override void DeregisterContentEvents() {
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| 56 | variableListView.ItemChecked -= variableListView_ItemChecked;
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| 57 | base.DeregisterContentEvents();
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| 58 | }
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| 59 |
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| 60 | protected override void OnContentChanged() {
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| 61 | base.OnContentChanged();
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[13817] | 62 | if (Content == null) return;
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[13808] | 63 | var pd = Content.ProblemData;
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| 64 | var ds = pd.Dataset;
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| 65 |
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| 66 | // update variable list
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| 67 | variableListView.Items.Clear();
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| 68 | variableListView.Items.AddRange(pd.AllowedInputVariables.Select(x => new ListViewItem(x, 0)).ToArray());
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| 69 |
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| 70 | // update internal dataset
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| 71 | var variableNames = pd.AllowedInputVariables.ToList();
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| 72 | var variableValues = variableNames.Select(x => new List<double> { pd.Dataset.GetDoubleValues(x, pd.TrainingIndices).Median() });
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| 73 | internalDataset = new ModifiableDataset(variableNames, variableValues);
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| 74 | // update charts and variable limits
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| 75 | charts = new Dictionary<string, GradientChart>();
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| 76 | foreach (var x in pd.AllowedInputVariables) {
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| 77 | double min = 0, max = 0;
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| 78 | foreach (var v in ds.GetDoubleValues(x, pd.TrainingIndices)) {
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| 79 | if (v > max) max = v;
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| 80 | if (v < min) min = v;
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| 81 | }
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[13820] | 82 | var gradientChart = new GradientChart {
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| 83 | Dock = DockStyle.Fill,
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| 84 | Margin = Padding.Empty,
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| 85 | ShowLegend = false,
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| 86 | ShowCursor = true,
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| 87 | ShowXAxisLabel = true,
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| 88 | ShowYAxisLabel = true
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| 89 | };
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[13817] | 90 | gradientChart.VariableValueChanged += (o, e) => {
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| 91 | foreach (var chart in gradientChartTableLayout.Controls.Cast<GradientChart>()) {
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| 92 | if (chart == (GradientChart)o) continue;
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| 93 | chart.UpdateChart();
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| 94 | }
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| 95 | };
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[13808] | 96 | gradientChart.Configure(new[] { Content }, pd, internalDataset, x, min, max, Points);
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| 97 | charts[x] = gradientChart;
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| 98 | }
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| 99 | }
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| 100 |
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| 101 | private void variableListView_ItemChecked(object sender, ItemCheckedEventArgs e) {
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| 102 | if (charts == null) return;
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| 103 | var item = e.Item;
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| 104 | var variable = item.Text;
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| 105 | var chart = charts[variable];
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[13817] | 106 | var tl = gradientChartTableLayout;
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| 107 | tl.SuspendLayout();
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| 108 | var columnWidth = tl.GetColumnWidths()[0]; // all columns have the same width
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| 109 | var rowHeight = 0.8f * columnWidth;
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| 110 | tl.RowStyles.Clear();
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| 111 |
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[13808] | 112 | if (item.Checked) {
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[13817] | 113 | tl.Controls.Add(chart);
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| 114 | var index = tl.Controls.Count - 1;
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| 115 | int rowIndex = index / tl.ColumnCount;
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| 116 | int columnIndex = index % tl.ColumnCount;
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| 117 | tl.SetRow(chart, rowIndex);
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| 118 | tl.SetColumn(chart, columnIndex);
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[13808] | 119 | chart.UpdateChart();
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[13817] | 120 | tl.RowCount = rowIndex + 1;
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[13808] | 121 | } else {
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[13817] | 122 | tl.Controls.Remove(chart);
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| 123 | // relayout
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| 124 | var count = tl.Controls.Count;
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| 125 | tl.RowCount = count / tl.ColumnCount + (count % tl.ColumnCount == 0 ? 0 : 1);
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| 126 | for (int i = 0; i < count; ++i) {
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| 127 | var control = tl.Controls[i];
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| 128 | int rowIndex = i / tl.ColumnCount;
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| 129 | int columnIndex = i % tl.ColumnCount;
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| 130 | tl.SetRow(control, rowIndex);
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| 131 | tl.SetColumn(control, columnIndex);
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| 132 | }
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[13808] | 133 | }
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[13817] | 134 | // set absolute row sizes
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| 135 | for (int i = 0; i < tl.RowCount; ++i) {
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| 136 | tl.RowStyles.Add(new RowStyle(SizeType.Absolute, rowHeight));
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| 137 | }
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| 138 | tl.ResumeLayout();
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[13808] | 139 | }
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| 140 | }
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| 141 | }
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