[3408] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14185] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3408] | 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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[6679] | 22 | using System.Collections.Generic;
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[3408] | 23 | using System.Drawing;
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| 24 | using System.Linq;
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| 25 | using System.Windows.Forms;
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[4068] | 26 | using System.Windows.Forms.DataVisualization.Charting;
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[3408] | 27 | using HeuristicLab.MainForm;
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[14008] | 28 | using HeuristicLab.Visualization.ChartControlsExtensions;
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[3408] | 29 |
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[3442] | 30 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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[5975] | 31 | [View("Line Chart")]
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[5663] | 32 | [Content(typeof(IRegressionSolution))]
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[6642] | 33 | public partial class RegressionSolutionLineChartView : DataAnalysisSolutionEvaluationView {
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[14483] | 34 | protected const string TARGETVARIABLE_SERIES_NAME = "Target Variable";
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| 35 | protected const string ESTIMATEDVALUES_TRAINING_SERIES_NAME = "Estimated Values (training)";
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| 36 | protected const string ESTIMATEDVALUES_TEST_SERIES_NAME = "Estimated Values (test)";
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| 37 | protected const string ESTIMATEDVALUES_ALL_SERIES_NAME = "Estimated Values (all samples)";
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[3442] | 38 |
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[5663] | 39 | public new IRegressionSolution Content {
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| 40 | get { return (IRegressionSolution)base.Content; }
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[3916] | 41 | set { base.Content = value; }
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[3442] | 42 | }
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| 43 |
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[5663] | 44 | public RegressionSolutionLineChartView()
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[3408] | 45 | : base() {
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| 46 | InitializeComponent();
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| 47 | //configure axis
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[4651] | 48 | this.chart.CustomizeAllChartAreas();
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[3408] | 49 | this.chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
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| 50 | this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
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[6238] | 51 | this.chart.ChartAreas[0].AxisX.IsStartedFromZero = true;
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[3707] | 52 | this.chart.ChartAreas[0].CursorX.Interval = 1;
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[3408] | 53 |
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| 54 | this.chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
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| 55 | this.chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
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[3442] | 56 | this.chart.ChartAreas[0].CursorY.Interval = 0;
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[3408] | 57 | }
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| 58 |
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[14422] | 59 | protected virtual void GetTrainingSeries(out int[] x, out double[] y) {
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| 60 | x = Content.ProblemData.TrainingIndices.ToArray();
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| 61 | y = Content.EstimatedTrainingValues.ToArray();
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| 62 | }
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| 63 |
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| 64 | protected virtual void GetTestSeries(out int[] x, out double[] y) {
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| 65 | x = Content.ProblemData.TestIndices.ToArray();
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| 66 | y = Content.EstimatedTestValues.ToArray();
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| 67 | }
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| 68 |
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| 69 | protected virtual void GetAllValuesSeries(out int[] x, out double[] y) {
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| 70 | x = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndices).Except(Content.ProblemData.TestIndices).ToArray();
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| 71 | var tmp = Content.EstimatedValues.ToArray();
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| 72 | y = x.Select(index => tmp[index]).ToArray();
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| 73 | }
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| 74 |
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[14483] | 75 | protected virtual void RedrawChart() {
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[3442] | 76 | this.chart.Series.Clear();
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[4011] | 77 | if (Content != null) {
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[6238] | 78 | this.chart.ChartAreas[0].AxisX.Minimum = 0;
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| 79 | this.chart.ChartAreas[0].AxisX.Maximum = Content.ProblemData.Dataset.Rows - 1;
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| 80 |
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[4011] | 81 | this.chart.Series.Add(TARGETVARIABLE_SERIES_NAME);
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[14255] | 82 | this.chart.Series[TARGETVARIABLE_SERIES_NAME].LegendText = TARGETVARIABLE_SERIES_NAME;
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[4011] | 83 | this.chart.Series[TARGETVARIABLE_SERIES_NAME].ChartType = SeriesChartType.FastLine;
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[6238] | 84 | this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.DataBindXY(Enumerable.Range(0, Content.ProblemData.Dataset.Rows).ToArray(),
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[6740] | 85 | Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray());
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[7327] | 86 | // training series
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[6238] | 87 | this.chart.Series.Add(ESTIMATEDVALUES_TRAINING_SERIES_NAME);
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| 88 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].LegendText = ESTIMATEDVALUES_TRAINING_SERIES_NAME;
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| 89 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].ChartType = SeriesChartType.FastLine;
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[7333] | 90 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].EmptyPointStyle.Color = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Color;
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[14422] | 91 | int[] trainingIdx;
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| 92 | double[] trainingY;
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| 93 | GetTrainingSeries(out trainingIdx, out trainingY);
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| 94 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.DataBindXY(trainingIdx, trainingY);
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[7406] | 95 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME]);
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[6238] | 96 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Tag = Content;
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[14422] | 97 |
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[7327] | 98 | // test series
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[6238] | 99 | this.chart.Series.Add(ESTIMATEDVALUES_TEST_SERIES_NAME);
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| 100 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].LegendText = ESTIMATEDVALUES_TEST_SERIES_NAME;
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| 101 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].ChartType = SeriesChartType.FastLine;
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[14422] | 102 | int[] testIdx;
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| 103 | double[] testY;
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| 104 | GetTestSeries(out testIdx, out testY);
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| 105 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.DataBindXY(testIdx, testY);
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[7406] | 106 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME]);
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[6238] | 107 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Tag = Content;
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[14422] | 108 |
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[7327] | 109 | // series of remaining points
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[14422] | 110 | int[] allIdx;
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| 111 | double[] allEstimatedValues;
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| 112 | GetAllValuesSeries(out allIdx, out allEstimatedValues);
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| 113 |
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[6679] | 114 | this.chart.Series.Add(ESTIMATEDVALUES_ALL_SERIES_NAME);
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| 115 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].LegendText = ESTIMATEDVALUES_ALL_SERIES_NAME;
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| 116 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].ChartType = SeriesChartType.FastLine;
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[14422] | 117 | if (allEstimatedValues.Length > 0) {
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| 118 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.DataBindXY(allIdx, allEstimatedValues);
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[8485] | 119 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]);
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| 120 | }
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[6679] | 121 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Tag = Content;
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| 122 | this.ToggleSeriesData(this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]);
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| 123 |
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[14255] | 124 | // set the y-axis
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[14008] | 125 | var axisY = this.chart.ChartAreas[0].AxisY;
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[14255] | 126 | axisY.Title = Content.ProblemData.TargetVariable;
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[14008] | 127 | double min = double.MaxValue, max = double.MinValue;
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| 128 | foreach (var point in chart.Series.SelectMany(x => x.Points)) {
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| 129 | if (!point.YValues.Any() || double.IsInfinity(point.YValues[0]) || double.IsNaN(point.YValues[0]))
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| 130 | continue;
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| 131 | var y = point.YValues[0];
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| 132 | if (y < min)
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| 133 | min = y;
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| 134 | if (y > max)
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| 135 | max = y;
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| 136 | }
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| 137 |
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| 138 | double axisMin, axisMax, axisInterval;
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| 139 | ChartUtil.CalculateOptimalAxisInterval(min, max, out axisMin, out axisMax, out axisInterval);
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| 140 | axisY.Minimum = axisMin;
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| 141 | axisY.Maximum = axisMax;
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| 142 | axisY.Interval = axisInterval;
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| 143 |
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[4011] | 144 | UpdateCursorInterval();
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[6238] | 145 | this.UpdateStripLines();
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[4011] | 146 | }
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[3408] | 147 | }
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| 148 |
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[7406] | 149 | private void InsertEmptyPoints(Series series) {
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| 150 | int i = 0;
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| 151 | while (i < series.Points.Count - 1) {
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| 152 | if (series.Points[i].IsEmpty) {
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| 153 | ++i;
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| 154 | continue;
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| 155 | }
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| 156 |
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| 157 | var p1 = series.Points[i];
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| 158 | var p2 = series.Points[i + 1];
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| 159 | // check for consecutive indices
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| 160 | if ((int)p2.XValue - (int)p1.XValue != 1) {
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| 161 | // insert an empty point between p1 and p2 so that the line will be invisible (transparent)
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| 162 | var p = new DataPoint((int)((p1.XValue + p2.XValue) / 2), 0.0) { IsEmpty = true };
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| 163 | series.Points.Insert(i + 1, p);
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| 164 | }
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| 165 | ++i;
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| 166 | }
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| 167 | }
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| 168 |
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[3707] | 169 | private void UpdateCursorInterval() {
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[6238] | 170 | var estimatedValues = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
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[3707] | 171 | var targetValues = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
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| 172 | double estimatedValuesRange = estimatedValues.Max() - estimatedValues.Min();
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| 173 | double targetValuesRange = targetValues.Max() - targetValues.Min();
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| 174 | double interestingValuesRange = Math.Min(Math.Max(targetValuesRange, 1.0), Math.Max(estimatedValuesRange, 1.0));
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| 175 | double digits = (int)Math.Log10(interestingValuesRange) - 3;
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| 176 | double yZoomInterval = Math.Max(Math.Pow(10, digits), 10E-5);
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| 177 | this.chart.ChartAreas[0].CursorY.Interval = yZoomInterval;
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| 178 | }
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| 179 |
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[3442] | 180 | #region events
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| 181 | protected override void RegisterContentEvents() {
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| 182 | base.RegisterContentEvents();
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[5663] | 183 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
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[3442] | 184 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
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[3408] | 185 | }
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[3442] | 186 | protected override void DeregisterContentEvents() {
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| 187 | base.DeregisterContentEvents();
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[5663] | 188 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
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[3442] | 189 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
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[3408] | 190 | }
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| 191 |
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[6679] | 192 | protected override void OnContentChanged() {
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| 193 | base.OnContentChanged();
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| 194 | RedrawChart();
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| 195 | }
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[3916] | 196 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
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[3462] | 197 | RedrawChart();
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[3408] | 198 | }
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[5663] | 199 | private void Content_ModelChanged(object sender, EventArgs e) {
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[3462] | 200 | RedrawChart();
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[3442] | 201 | }
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| 202 |
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[5006] | 203 |
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[6679] | 204 |
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[5006] | 205 | private void Chart_MouseDoubleClick(object sender, MouseEventArgs e) {
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| 206 | HitTestResult result = chart.HitTest(e.X, e.Y);
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| 207 | if (result.ChartArea != null && (result.ChartElementType == ChartElementType.PlottingArea ||
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| 208 | result.ChartElementType == ChartElementType.Gridlines) ||
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| 209 | result.ChartElementType == ChartElementType.StripLines) {
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| 210 | foreach (var axis in result.ChartArea.Axes)
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| 211 | axis.ScaleView.ZoomReset(int.MaxValue);
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| 212 | }
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| 213 | }
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[3442] | 214 | #endregion
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[3408] | 215 |
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| 216 | private void UpdateStripLines() {
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| 217 | this.chart.ChartAreas[0].AxisX.StripLines.Clear();
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[6238] | 218 |
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| 219 | int[] attr = new int[Content.ProblemData.Dataset.Rows + 1]; // add a virtual last row that is again empty to simplify loop further down
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[8139] | 220 | foreach (var row in Content.ProblemData.TrainingIndices) {
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[6238] | 221 | attr[row] += 1;
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| 222 | }
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[8139] | 223 | foreach (var row in Content.ProblemData.TestIndices) {
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[6238] | 224 | attr[row] += 2;
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| 225 | }
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| 226 | int start = 0;
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| 227 | int curAttr = attr[start];
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| 228 | for (int row = 0; row < attr.Length; row++) {
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| 229 | if (attr[row] != curAttr) {
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| 230 | switch (curAttr) {
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| 231 | case 0: break;
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| 232 | case 1:
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| 233 | this.CreateAndAddStripLine("Training", start, row, Color.FromArgb(40, Color.Green), Color.Transparent);
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| 234 | break;
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| 235 | case 2:
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| 236 | this.CreateAndAddStripLine("Test", start, row, Color.FromArgb(40, Color.Red), Color.Transparent);
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| 237 | break;
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| 238 | case 3:
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| 239 | this.CreateAndAddStripLine("Training and Test", start, row, Color.FromArgb(40, Color.Green), Color.FromArgb(40, Color.Red), ChartHatchStyle.WideUpwardDiagonal);
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| 240 | break;
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| 241 | default:
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| 242 | // should not happen
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| 243 | break;
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| 244 | }
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| 245 | curAttr = attr[row];
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| 246 | start = row;
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| 247 | }
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| 248 | }
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[3408] | 249 | }
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| 250 |
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[6238] | 251 | private void CreateAndAddStripLine(string title, int start, int end, Color color, Color secondColor, ChartHatchStyle hatchStyle = ChartHatchStyle.None) {
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[3408] | 252 | StripLine stripLine = new StripLine();
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[6238] | 253 | stripLine.BackColor = color;
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| 254 | stripLine.BackSecondaryColor = secondColor;
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| 255 | stripLine.BackHatchStyle = hatchStyle;
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[3408] | 256 | stripLine.Text = title;
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| 257 | stripLine.Font = new Font("Times New Roman", 12, FontStyle.Bold);
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[6252] | 258 | // strip range is [start .. end] inclusive, but we evaluate [start..end[ (end is exclusive)
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| 259 | // the strip should be by one longer (starting at start - 0.5 and ending at end + 0.5)
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[6520] | 260 | stripLine.StripWidth = end - start;
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[6252] | 261 | stripLine.IntervalOffset = start - 0.5; // start slightly to the left of the first point to clearly indicate the first point in the partition
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[3408] | 262 | this.chart.ChartAreas[0].AxisX.StripLines.Add(stripLine);
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| 263 | }
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[6679] | 264 |
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| 265 | private void ToggleSeriesData(Series series) {
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| 266 | if (series.Points.Count > 0) { //checks if series is shown
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| 267 | if (this.chart.Series.Any(s => s != series && s.Points.Count > 0)) {
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[7406] | 268 | ClearPointsQuick(series.Points);
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[6679] | 269 | }
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| 270 | } else if (Content != null) {
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| 271 |
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[14422] | 272 | int[] indices = null;
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[8485] | 273 | double[] predictedValues = null;
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[6679] | 274 | switch (series.Name) {
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| 275 | case ESTIMATEDVALUES_ALL_SERIES_NAME:
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[14422] | 276 | GetAllValuesSeries(out indices, out predictedValues);
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[6679] | 277 | break;
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| 278 | case ESTIMATEDVALUES_TRAINING_SERIES_NAME:
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[14422] | 279 | GetTrainingSeries(out indices, out predictedValues);
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[6679] | 280 | break;
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| 281 | case ESTIMATEDVALUES_TEST_SERIES_NAME:
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[14422] | 282 | GetTestSeries(out indices, out predictedValues);
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[6679] | 283 | break;
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| 284 | }
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[8485] | 285 | if (predictedValues.Length > 0) {
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| 286 | series.Points.DataBindXY(indices, predictedValues);
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| 287 | this.InsertEmptyPoints(series);
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| 288 | }
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[6679] | 289 | chart.Legends[series.Legend].ForeColor = Color.Black;
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| 290 | UpdateCursorInterval();
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[6775] | 291 | chart.Refresh();
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[6679] | 292 | }
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| 293 | }
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| 294 |
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[7406] | 295 | // workaround as per http://stackoverflow.com/questions/5744930/datapointcollection-clear-performance
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| 296 | private static void ClearPointsQuick(DataPointCollection points) {
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| 297 | points.SuspendUpdates();
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| 298 | while (points.Count > 0)
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| 299 | points.RemoveAt(points.Count - 1);
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| 300 | points.ResumeUpdates();
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| 301 | }
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| 302 |
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[6679] | 303 | private void chart_MouseMove(object sender, MouseEventArgs e) {
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| 304 | HitTestResult result = chart.HitTest(e.X, e.Y);
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| 305 | if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME)
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| 306 | Cursor = Cursors.Hand;
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| 307 | else
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| 308 | Cursor = Cursors.Default;
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| 309 | }
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| 310 | private void chart_MouseDown(object sender, MouseEventArgs e) {
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| 311 | HitTestResult result = chart.HitTest(e.X, e.Y);
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| 312 | if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME) {
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| 313 | ToggleSeriesData(result.Series);
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| 314 | }
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| 315 | }
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| 316 |
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| 317 | private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
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| 318 | if (chart.Series.Count != 4) return;
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| 319 | e.LegendItems[0].Cells[1].ForeColor = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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| 320 | e.LegendItems[1].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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| 321 | e.LegendItems[2].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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| 322 | e.LegendItems[3].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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| 323 | }
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[3408] | 324 | }
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| 325 | }
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