[4417] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[7268] | 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[4417] | 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;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Drawing;
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| 25 | using System.Linq;
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| 26 | using System.Windows.Forms;
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| 27 | using System.Windows.Forms.DataVisualization.Charting;
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| 28 | using HeuristicLab.Common;
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| 29 | using HeuristicLab.MainForm;
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| 30 | using HeuristicLab.MainForm.WindowsForms;
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| 31 |
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[5829] | 32 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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[5975] | 33 | [View("Classification Threshold")]
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[6729] | 34 | [Content(typeof(IDiscriminantFunctionClassificationSolution), false)]
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[6642] | 35 | public sealed partial class DiscriminantFunctionClassificationSolutionThresholdView : DataAnalysisSolutionEvaluationView {
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[4417] | 36 | private const double TrainingAxisValue = 0.0;
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| 37 | private const double TestAxisValue = 10.0;
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| 38 | private const double TrainingTestBorder = (TestAxisValue - TrainingAxisValue) / 2;
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| 39 | private const string TrainingLabelText = "Training Samples";
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| 40 | private const string TestLabelText = "Test Samples";
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| 41 |
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[5664] | 42 | public new IDiscriminantFunctionClassificationSolution Content {
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| 43 | get { return (IDiscriminantFunctionClassificationSolution)base.Content; }
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[4417] | 44 | set { base.Content = value; }
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| 45 | }
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| 46 |
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| 47 | private Dictionary<double, Series> classValueSeriesMapping;
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| 48 | private Random random;
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| 49 | private bool updateInProgress;
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| 50 |
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[5829] | 51 | public DiscriminantFunctionClassificationSolutionThresholdView()
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[4417] | 52 | : base() {
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| 53 | InitializeComponent();
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| 54 |
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| 55 | classValueSeriesMapping = new Dictionary<double, Series>();
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| 56 | random = new Random();
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| 57 | updateInProgress = false;
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| 58 |
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[4651] | 59 | this.chart.CustomizeAllChartAreas();
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[4417] | 60 | this.chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
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| 61 | this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
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| 62 | this.chart.ChartAreas[0].AxisX.Minimum = TrainingAxisValue - TrainingTestBorder;
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| 63 | this.chart.ChartAreas[0].AxisX.Maximum = TestAxisValue + TrainingTestBorder;
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| 64 | AddCustomLabelToAxis(this.chart.ChartAreas[0].AxisX);
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| 65 |
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| 66 | this.chart.ChartAreas[0].AxisY.Title = "Estimated Values";
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| 67 | this.chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
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| 68 | this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
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| 69 | }
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| 70 |
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| 71 | private void AddCustomLabelToAxis(Axis axis) {
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| 72 | CustomLabel trainingLabel = new CustomLabel();
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| 73 | trainingLabel.Text = TrainingLabelText;
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| 74 | trainingLabel.FromPosition = TrainingAxisValue - TrainingTestBorder;
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| 75 | trainingLabel.ToPosition = TrainingAxisValue + TrainingTestBorder;
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| 76 | axis.CustomLabels.Add(trainingLabel);
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| 77 |
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| 78 | CustomLabel testLabel = new CustomLabel();
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| 79 | testLabel.Text = TestLabelText;
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| 80 | testLabel.FromPosition = TestAxisValue - TrainingTestBorder;
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| 81 | testLabel.ToPosition = TestAxisValue + TrainingTestBorder;
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| 82 | axis.CustomLabels.Add(testLabel);
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| 83 | }
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| 84 |
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| 85 | protected override void RegisterContentEvents() {
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| 86 | base.RegisterContentEvents();
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[5664] | 87 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
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[4417] | 88 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
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| 89 | }
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| 90 | protected override void DeregisterContentEvents() {
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| 91 | base.DeregisterContentEvents();
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[5664] | 92 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
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[4417] | 93 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
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| 94 | }
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| 95 |
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| 96 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
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| 97 | UpdateChart();
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| 98 | }
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[5664] | 99 | private void Content_ModelChanged(object sender, EventArgs e) {
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[5736] | 100 | Content.Model.ThresholdsChanged += new EventHandler(Model_ThresholdsChanged);
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[4417] | 101 | UpdateChart();
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| 102 | }
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[5736] | 103 | private void Model_ThresholdsChanged(object sender, EventArgs e) {
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[4417] | 104 | AddThresholds();
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| 105 | }
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| 106 | protected override void OnContentChanged() {
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| 107 | base.OnContentChanged();
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| 108 | UpdateChart();
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| 109 | }
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| 110 |
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| 111 | private void UpdateChart() {
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| 112 | if (InvokeRequired) Invoke((Action)UpdateChart);
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| 113 | else if (!updateInProgress) {
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| 114 | updateInProgress = true;
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| 115 | chart.Series.Clear();
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| 116 | classValueSeriesMapping.Clear();
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| 117 | if (Content != null) {
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| 118 | IEnumerator<string> classNameEnumerator = Content.ProblemData.ClassNames.GetEnumerator();
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[5664] | 119 | IEnumerator<double> classValueEnumerator = Content.ProblemData.ClassValues.OrderBy(x => x).GetEnumerator();
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[4417] | 120 | while (classNameEnumerator.MoveNext() && classValueEnumerator.MoveNext()) {
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| 121 | Series series = new Series(classNameEnumerator.Current);
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| 122 | series.ChartType = SeriesChartType.FastPoint;
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| 123 | series.Tag = classValueEnumerator.Current;
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| 124 | chart.Series.Add(series);
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| 125 | classValueSeriesMapping.Add(classValueEnumerator.Current, series);
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| 126 | FillSeriesWithDataPoints(series);
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| 127 | }
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| 128 | AddThresholds();
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| 129 | }
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| 130 | chart.ChartAreas[0].RecalculateAxesScale();
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| 131 | updateInProgress = false;
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| 132 | }
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| 133 | }
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| 134 |
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| 135 | private void FillSeriesWithDataPoints(Series series) {
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[4469] | 136 | List<double> estimatedValues = Content.EstimatedValues.ToList();
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[6740] | 137 | var targetValues = Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToList();
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| 138 |
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[8430] | 139 | foreach (int row in Content.ProblemData.TrainingIndices) {
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[4469] | 140 | double estimatedValue = estimatedValues[row];
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[6740] | 141 | double targetValue = targetValues[row];
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[4469] | 142 | if (targetValue.IsAlmost((double)series.Tag)) {
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[4417] | 143 | double jitterValue = random.NextDouble() * 2.0 - 1.0;
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| 144 | DataPoint point = new DataPoint();
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| 145 | point.XValue = TrainingAxisValue + 0.01 * jitterValue * JitterTrackBar.Value * (TrainingTestBorder * 0.9);
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| 146 | point.YValues[0] = estimatedValue;
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| 147 | point.Tag = new KeyValuePair<double, double>(TrainingAxisValue, jitterValue);
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| 148 | series.Points.Add(point);
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| 149 | }
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| 150 | }
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| 151 |
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[8430] | 152 | foreach (int row in Content.ProblemData.TestIndices) {
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[4469] | 153 | double estimatedValue = estimatedValues[row];
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[6740] | 154 | double targetValue = targetValues[row];
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| 155 | if (targetValue.IsAlmost((double)series.Tag)) {
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[4417] | 156 | double jitterValue = random.NextDouble() * 2.0 - 1.0;
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| 157 | DataPoint point = new DataPoint();
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| 158 | point.XValue = TestAxisValue + 0.01 * jitterValue * JitterTrackBar.Value * (TrainingTestBorder * 0.9);
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| 159 | point.YValues[0] = estimatedValue;
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| 160 | point.Tag = new KeyValuePair<double, double>(TestAxisValue, jitterValue);
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| 161 | series.Points.Add(point);
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| 162 | }
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| 163 | }
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[4469] | 164 |
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[4417] | 165 | UpdateCursorInterval();
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| 166 | }
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| 167 |
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| 168 | private void AddThresholds() {
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| 169 | chart.Annotations.Clear();
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| 170 | int classIndex = 1;
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[5717] | 171 | foreach (double threshold in Content.Model.Thresholds) {
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[4417] | 172 | if (!double.IsInfinity(threshold)) {
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| 173 | HorizontalLineAnnotation annotation = new HorizontalLineAnnotation();
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| 174 | annotation.AllowMoving = true;
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| 175 | annotation.AllowResizing = false;
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| 176 | annotation.LineWidth = 2;
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| 177 | annotation.LineColor = Color.Red;
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| 178 |
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| 179 | annotation.IsInfinitive = true;
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| 180 | annotation.ClipToChartArea = chart.ChartAreas[0].Name;
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| 181 | annotation.Tag = classIndex; //save classIndex as Tag to avoid moving the threshold accross class bounderies
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| 182 |
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| 183 | annotation.AxisX = chart.ChartAreas[0].AxisX;
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| 184 | annotation.AxisY = chart.ChartAreas[0].AxisY;
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| 185 | annotation.Y = threshold;
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| 186 |
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| 187 | chart.Annotations.Add(annotation);
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| 188 | classIndex++;
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| 189 | }
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| 190 | }
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| 191 | }
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| 192 |
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| 193 | private void JitterTrackBar_ValueChanged(object sender, EventArgs e) {
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| 194 | foreach (Series series in chart.Series) {
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| 195 | foreach (DataPoint point in series.Points) {
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| 196 | double value = ((KeyValuePair<double, double>)point.Tag).Key;
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| 197 | double jitterValue = ((KeyValuePair<double, double>)point.Tag).Value; ;
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| 198 | point.XValue = value + 0.01 * jitterValue * JitterTrackBar.Value * (TrainingTestBorder * 0.9);
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| 199 | }
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| 200 | }
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| 201 | }
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| 202 |
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| 203 | private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
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| 204 | foreach (LegendItem legendItem in e.LegendItems) {
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| 205 | var series = chart.Series[legendItem.SeriesName];
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| 206 | if (series != null) {
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| 207 | bool seriesIsInvisible = series.Points.Count == 0;
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| 208 | foreach (LegendCell cell in legendItem.Cells)
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| 209 | cell.ForeColor = seriesIsInvisible ? Color.Gray : Color.Black;
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| 210 | }
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| 211 | }
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| 212 | }
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| 213 |
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| 214 | private void chart_MouseMove(object sender, MouseEventArgs e) {
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| 215 | HitTestResult result = chart.HitTest(e.X, e.Y);
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| 216 | if (result.ChartElementType == ChartElementType.LegendItem)
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| 217 | this.Cursor = Cursors.Hand;
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| 218 | else
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| 219 | this.Cursor = Cursors.Default;
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| 220 | }
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| 221 |
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| 222 | private void ToggleSeries(Series series) {
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| 223 | if (series.Points.Count == 0)
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| 224 | FillSeriesWithDataPoints(series);
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| 225 | else
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| 226 | series.Points.Clear();
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| 227 | }
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| 228 |
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| 229 | private void chart_MouseDown(object sender, MouseEventArgs e) {
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| 230 | HitTestResult result = chart.HitTest(e.X, e.Y);
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| 231 | if (result.ChartElementType == ChartElementType.LegendItem) {
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| 232 | if (result.Series != null) ToggleSeries(result.Series);
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| 233 | }
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| 234 | }
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| 235 |
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| 236 | private void chart_AnnotationPositionChanging(object sender, AnnotationPositionChangingEventArgs e) {
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| 237 | int classIndex = (int)e.Annotation.Tag;
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[5717] | 238 | double[] thresholds = Content.Model.Thresholds.ToArray();
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[4417] | 239 | thresholds[classIndex] = e.NewLocationY;
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[5736] | 240 | Content.Model.SetThresholdsAndClassValues(thresholds, Content.Model.ClassValues);
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[4417] | 241 | }
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| 242 |
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| 243 | private void UpdateCursorInterval() {
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| 244 | Series series = chart.Series[0];
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| 245 | double[] xValues = (from point in series.Points
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| 246 | where !point.IsEmpty
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| 247 | select point.XValue)
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| 248 | .DefaultIfEmpty(1.0)
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| 249 | .ToArray();
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| 250 | double[] yValues = (from point in series.Points
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| 251 | where !point.IsEmpty
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| 252 | select point.YValues[0])
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| 253 | .DefaultIfEmpty(1.0)
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| 254 | .ToArray();
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| 255 |
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| 256 | double xRange = xValues.Max() - xValues.Min();
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| 257 | double yRange = yValues.Max() - yValues.Min();
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| 258 | if (xRange.IsAlmost(0.0)) xRange = 1.0;
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| 259 | if (yRange.IsAlmost(0.0)) yRange = 1.0;
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| 260 | double xDigits = (int)Math.Log10(xRange) - 3;
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| 261 | double yDigits = (int)Math.Log10(yRange) - 3;
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| 262 | double xZoomInterval = Math.Pow(10, xDigits);
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| 263 | double yZoomInterval = Math.Pow(10, yDigits);
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| 264 | this.chart.ChartAreas[0].CursorX.Interval = xZoomInterval;
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| 265 | this.chart.ChartAreas[0].CursorY.Interval = yZoomInterval;
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| 266 | }
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| 267 | }
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| 268 | }
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