[3408] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
[10556] | 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
[3408] | 4 | *
|
---|
| 5 | * This file is part of HeuristicLab.
|
---|
| 6 | *
|
---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
| 8 | * it under the terms of the GNU General Public License as published by
|
---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
| 10 | * (at your option) any later version.
|
---|
| 11 | *
|
---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 15 | * GNU General Public License for more details.
|
---|
| 16 | *
|
---|
| 17 | * You should have received a copy of the GNU General Public License
|
---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
| 19 | */
|
---|
| 20 | #endregion
|
---|
| 21 | using System;
|
---|
[6679] | 22 | using System.Collections.Generic;
|
---|
[3408] | 23 | using System.Drawing;
|
---|
| 24 | using System.Linq;
|
---|
| 25 | using System.Windows.Forms;
|
---|
[4068] | 26 | using System.Windows.Forms.DataVisualization.Charting;
|
---|
[3408] | 27 | using HeuristicLab.MainForm;
|
---|
| 28 |
|
---|
[3442] | 29 | namespace HeuristicLab.Problems.DataAnalysis.Views {
|
---|
[5975] | 30 | [View("Line Chart")]
|
---|
[5663] | 31 | [Content(typeof(IRegressionSolution))]
|
---|
[6642] | 32 | public partial class RegressionSolutionLineChartView : DataAnalysisSolutionEvaluationView {
|
---|
[6238] | 33 | private const string TARGETVARIABLE_SERIES_NAME = "Target Variable";
|
---|
| 34 | private const string ESTIMATEDVALUES_TRAINING_SERIES_NAME = "Estimated Values (training)";
|
---|
| 35 | private const string ESTIMATEDVALUES_TEST_SERIES_NAME = "Estimated Values (test)";
|
---|
[6679] | 36 | private const string ESTIMATEDVALUES_ALL_SERIES_NAME = "Estimated Values (all samples)";
|
---|
[3442] | 37 |
|
---|
[5663] | 38 | public new IRegressionSolution Content {
|
---|
| 39 | get { return (IRegressionSolution)base.Content; }
|
---|
[3916] | 40 | set { base.Content = value; }
|
---|
[3442] | 41 | }
|
---|
| 42 |
|
---|
[5663] | 43 | public RegressionSolutionLineChartView()
|
---|
[3408] | 44 | : base() {
|
---|
| 45 | InitializeComponent();
|
---|
| 46 | //configure axis
|
---|
[4651] | 47 | this.chart.CustomizeAllChartAreas();
|
---|
[3408] | 48 | this.chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
|
---|
| 49 | this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
|
---|
[6238] | 50 | this.chart.ChartAreas[0].AxisX.IsStartedFromZero = true;
|
---|
[3707] | 51 | this.chart.ChartAreas[0].CursorX.Interval = 1;
|
---|
[3408] | 52 |
|
---|
| 53 | this.chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
|
---|
| 54 | this.chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
|
---|
[3442] | 55 | this.chart.ChartAreas[0].CursorY.Interval = 0;
|
---|
[3408] | 56 | }
|
---|
| 57 |
|
---|
[3462] | 58 | private void RedrawChart() {
|
---|
[3442] | 59 | this.chart.Series.Clear();
|
---|
[4011] | 60 | if (Content != null) {
|
---|
[6238] | 61 | this.chart.ChartAreas[0].AxisX.Minimum = 0;
|
---|
| 62 | this.chart.ChartAreas[0].AxisX.Maximum = Content.ProblemData.Dataset.Rows - 1;
|
---|
| 63 |
|
---|
[4011] | 64 | this.chart.Series.Add(TARGETVARIABLE_SERIES_NAME);
|
---|
[5663] | 65 | this.chart.Series[TARGETVARIABLE_SERIES_NAME].LegendText = Content.ProblemData.TargetVariable;
|
---|
[4011] | 66 | this.chart.Series[TARGETVARIABLE_SERIES_NAME].ChartType = SeriesChartType.FastLine;
|
---|
[6238] | 67 | this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.DataBindXY(Enumerable.Range(0, Content.ProblemData.Dataset.Rows).ToArray(),
|
---|
[6740] | 68 | Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray());
|
---|
[7327] | 69 | // training series
|
---|
[6238] | 70 | this.chart.Series.Add(ESTIMATEDVALUES_TRAINING_SERIES_NAME);
|
---|
| 71 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].LegendText = ESTIMATEDVALUES_TRAINING_SERIES_NAME;
|
---|
| 72 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].ChartType = SeriesChartType.FastLine;
|
---|
[7333] | 73 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].EmptyPointStyle.Color = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Color;
|
---|
[8139] | 74 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.DataBindXY(Content.ProblemData.TrainingIndices.ToArray(), Content.EstimatedTrainingValues.ToArray());
|
---|
[7406] | 75 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME]);
|
---|
[6238] | 76 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Tag = Content;
|
---|
[7327] | 77 | // test series
|
---|
[6238] | 78 | this.chart.Series.Add(ESTIMATEDVALUES_TEST_SERIES_NAME);
|
---|
| 79 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].LegendText = ESTIMATEDVALUES_TEST_SERIES_NAME;
|
---|
| 80 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].ChartType = SeriesChartType.FastLine;
|
---|
[8139] | 81 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.DataBindXY(Content.ProblemData.TestIndices.ToArray(), Content.EstimatedTestValues.ToArray());
|
---|
[7406] | 82 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME]);
|
---|
[6238] | 83 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Tag = Content;
|
---|
[7327] | 84 | // series of remaining points
|
---|
[8139] | 85 | int[] allIndices = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndices).Except(Content.ProblemData.TestIndices).ToArray();
|
---|
[6679] | 86 | var estimatedValues = Content.EstimatedValues.ToArray();
|
---|
[8139] | 87 | List<double> allEstimatedValues = allIndices.Select(index => estimatedValues[index]).ToList();
|
---|
[6679] | 88 | this.chart.Series.Add(ESTIMATEDVALUES_ALL_SERIES_NAME);
|
---|
| 89 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].LegendText = ESTIMATEDVALUES_ALL_SERIES_NAME;
|
---|
| 90 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].ChartType = SeriesChartType.FastLine;
|
---|
[8485] | 91 | if (allEstimatedValues.Count > 0) {
|
---|
| 92 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.DataBindXY(allIndices, allEstimatedValues);
|
---|
| 93 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]);
|
---|
| 94 | }
|
---|
[6679] | 95 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Tag = Content;
|
---|
| 96 | this.ToggleSeriesData(this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]);
|
---|
| 97 |
|
---|
[4011] | 98 | UpdateCursorInterval();
|
---|
[6238] | 99 | this.UpdateStripLines();
|
---|
[4011] | 100 | }
|
---|
[3408] | 101 | }
|
---|
| 102 |
|
---|
[7406] | 103 | private void InsertEmptyPoints(Series series) {
|
---|
| 104 | int i = 0;
|
---|
| 105 | while (i < series.Points.Count - 1) {
|
---|
| 106 | if (series.Points[i].IsEmpty) {
|
---|
| 107 | ++i;
|
---|
| 108 | continue;
|
---|
| 109 | }
|
---|
| 110 |
|
---|
| 111 | var p1 = series.Points[i];
|
---|
| 112 | var p2 = series.Points[i + 1];
|
---|
| 113 | // check for consecutive indices
|
---|
| 114 | if ((int)p2.XValue - (int)p1.XValue != 1) {
|
---|
| 115 | // insert an empty point between p1 and p2 so that the line will be invisible (transparent)
|
---|
| 116 | var p = new DataPoint((int)((p1.XValue + p2.XValue) / 2), 0.0) { IsEmpty = true };
|
---|
| 117 | series.Points.Insert(i + 1, p);
|
---|
| 118 | }
|
---|
| 119 | ++i;
|
---|
| 120 | }
|
---|
| 121 | }
|
---|
| 122 |
|
---|
[3707] | 123 | private void UpdateCursorInterval() {
|
---|
[6238] | 124 | var estimatedValues = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
|
---|
[3707] | 125 | var targetValues = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
|
---|
| 126 | double estimatedValuesRange = estimatedValues.Max() - estimatedValues.Min();
|
---|
| 127 | double targetValuesRange = targetValues.Max() - targetValues.Min();
|
---|
| 128 | double interestingValuesRange = Math.Min(Math.Max(targetValuesRange, 1.0), Math.Max(estimatedValuesRange, 1.0));
|
---|
| 129 | double digits = (int)Math.Log10(interestingValuesRange) - 3;
|
---|
| 130 | double yZoomInterval = Math.Max(Math.Pow(10, digits), 10E-5);
|
---|
| 131 | this.chart.ChartAreas[0].CursorY.Interval = yZoomInterval;
|
---|
| 132 | }
|
---|
| 133 |
|
---|
[3442] | 134 | #region events
|
---|
| 135 | protected override void RegisterContentEvents() {
|
---|
| 136 | base.RegisterContentEvents();
|
---|
[5663] | 137 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
|
---|
[3442] | 138 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
|
---|
[3408] | 139 | }
|
---|
[3442] | 140 | protected override void DeregisterContentEvents() {
|
---|
| 141 | base.DeregisterContentEvents();
|
---|
[5663] | 142 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
|
---|
[3442] | 143 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
|
---|
[3408] | 144 | }
|
---|
| 145 |
|
---|
[6679] | 146 | protected override void OnContentChanged() {
|
---|
| 147 | base.OnContentChanged();
|
---|
| 148 | RedrawChart();
|
---|
| 149 | }
|
---|
[3916] | 150 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
|
---|
[3462] | 151 | RedrawChart();
|
---|
[3408] | 152 | }
|
---|
[5663] | 153 | private void Content_ModelChanged(object sender, EventArgs e) {
|
---|
[3462] | 154 | RedrawChart();
|
---|
[3442] | 155 | }
|
---|
| 156 |
|
---|
[5006] | 157 |
|
---|
[6679] | 158 |
|
---|
[5006] | 159 | private void Chart_MouseDoubleClick(object sender, MouseEventArgs e) {
|
---|
| 160 | HitTestResult result = chart.HitTest(e.X, e.Y);
|
---|
| 161 | if (result.ChartArea != null && (result.ChartElementType == ChartElementType.PlottingArea ||
|
---|
| 162 | result.ChartElementType == ChartElementType.Gridlines) ||
|
---|
| 163 | result.ChartElementType == ChartElementType.StripLines) {
|
---|
| 164 | foreach (var axis in result.ChartArea.Axes)
|
---|
| 165 | axis.ScaleView.ZoomReset(int.MaxValue);
|
---|
| 166 | }
|
---|
| 167 | }
|
---|
[3442] | 168 | #endregion
|
---|
[3408] | 169 |
|
---|
| 170 | private void UpdateStripLines() {
|
---|
| 171 | this.chart.ChartAreas[0].AxisX.StripLines.Clear();
|
---|
[6238] | 172 |
|
---|
| 173 | int[] attr = new int[Content.ProblemData.Dataset.Rows + 1]; // add a virtual last row that is again empty to simplify loop further down
|
---|
[8139] | 174 | foreach (var row in Content.ProblemData.TrainingIndices) {
|
---|
[6238] | 175 | attr[row] += 1;
|
---|
| 176 | }
|
---|
[8139] | 177 | foreach (var row in Content.ProblemData.TestIndices) {
|
---|
[6238] | 178 | attr[row] += 2;
|
---|
| 179 | }
|
---|
| 180 | int start = 0;
|
---|
| 181 | int curAttr = attr[start];
|
---|
| 182 | for (int row = 0; row < attr.Length; row++) {
|
---|
| 183 | if (attr[row] != curAttr) {
|
---|
| 184 | switch (curAttr) {
|
---|
| 185 | case 0: break;
|
---|
| 186 | case 1:
|
---|
| 187 | this.CreateAndAddStripLine("Training", start, row, Color.FromArgb(40, Color.Green), Color.Transparent);
|
---|
| 188 | break;
|
---|
| 189 | case 2:
|
---|
| 190 | this.CreateAndAddStripLine("Test", start, row, Color.FromArgb(40, Color.Red), Color.Transparent);
|
---|
| 191 | break;
|
---|
| 192 | case 3:
|
---|
| 193 | this.CreateAndAddStripLine("Training and Test", start, row, Color.FromArgb(40, Color.Green), Color.FromArgb(40, Color.Red), ChartHatchStyle.WideUpwardDiagonal);
|
---|
| 194 | break;
|
---|
| 195 | default:
|
---|
| 196 | // should not happen
|
---|
| 197 | break;
|
---|
| 198 | }
|
---|
| 199 | curAttr = attr[row];
|
---|
| 200 | start = row;
|
---|
| 201 | }
|
---|
| 202 | }
|
---|
[3408] | 203 | }
|
---|
| 204 |
|
---|
[6238] | 205 | private void CreateAndAddStripLine(string title, int start, int end, Color color, Color secondColor, ChartHatchStyle hatchStyle = ChartHatchStyle.None) {
|
---|
[3408] | 206 | StripLine stripLine = new StripLine();
|
---|
[6238] | 207 | stripLine.BackColor = color;
|
---|
| 208 | stripLine.BackSecondaryColor = secondColor;
|
---|
| 209 | stripLine.BackHatchStyle = hatchStyle;
|
---|
[3408] | 210 | stripLine.Text = title;
|
---|
| 211 | stripLine.Font = new Font("Times New Roman", 12, FontStyle.Bold);
|
---|
[6252] | 212 | // strip range is [start .. end] inclusive, but we evaluate [start..end[ (end is exclusive)
|
---|
| 213 | // the strip should be by one longer (starting at start - 0.5 and ending at end + 0.5)
|
---|
[6520] | 214 | stripLine.StripWidth = end - start;
|
---|
[6252] | 215 | stripLine.IntervalOffset = start - 0.5; // start slightly to the left of the first point to clearly indicate the first point in the partition
|
---|
[3408] | 216 | this.chart.ChartAreas[0].AxisX.StripLines.Add(stripLine);
|
---|
| 217 | }
|
---|
[6679] | 218 |
|
---|
| 219 | private void ToggleSeriesData(Series series) {
|
---|
| 220 | if (series.Points.Count > 0) { //checks if series is shown
|
---|
| 221 | if (this.chart.Series.Any(s => s != series && s.Points.Count > 0)) {
|
---|
[7406] | 222 | ClearPointsQuick(series.Points);
|
---|
[6679] | 223 | }
|
---|
| 224 | } else if (Content != null) {
|
---|
| 225 | string targetVariableName = Content.ProblemData.TargetVariable;
|
---|
| 226 |
|
---|
[8139] | 227 | IEnumerable<int> indices = null;
|
---|
[8485] | 228 | double[] predictedValues = null;
|
---|
[6679] | 229 | switch (series.Name) {
|
---|
| 230 | case ESTIMATEDVALUES_ALL_SERIES_NAME:
|
---|
[8139] | 231 | indices = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndices).Except(Content.ProblemData.TestIndices).ToArray();
|
---|
[6679] | 232 | var estimatedValues = Content.EstimatedValues.ToArray();
|
---|
[8485] | 233 | predictedValues = indices.Select(index => estimatedValues[index]).ToArray();
|
---|
[6679] | 234 | break;
|
---|
| 235 | case ESTIMATEDVALUES_TRAINING_SERIES_NAME:
|
---|
[8139] | 236 | indices = Content.ProblemData.TrainingIndices.ToArray();
|
---|
[6679] | 237 | predictedValues = Content.EstimatedTrainingValues.ToArray();
|
---|
| 238 | break;
|
---|
| 239 | case ESTIMATEDVALUES_TEST_SERIES_NAME:
|
---|
[8139] | 240 | indices = Content.ProblemData.TestIndices.ToArray();
|
---|
[6679] | 241 | predictedValues = Content.EstimatedTestValues.ToArray();
|
---|
| 242 | break;
|
---|
| 243 | }
|
---|
[8485] | 244 | if (predictedValues.Length > 0) {
|
---|
| 245 | series.Points.DataBindXY(indices, predictedValues);
|
---|
| 246 | this.InsertEmptyPoints(series);
|
---|
| 247 | }
|
---|
[6679] | 248 | chart.Legends[series.Legend].ForeColor = Color.Black;
|
---|
| 249 | UpdateCursorInterval();
|
---|
[6775] | 250 | chart.Refresh();
|
---|
[6679] | 251 | }
|
---|
| 252 | }
|
---|
| 253 |
|
---|
[7406] | 254 | // workaround as per http://stackoverflow.com/questions/5744930/datapointcollection-clear-performance
|
---|
| 255 | private static void ClearPointsQuick(DataPointCollection points) {
|
---|
| 256 | points.SuspendUpdates();
|
---|
| 257 | while (points.Count > 0)
|
---|
| 258 | points.RemoveAt(points.Count - 1);
|
---|
| 259 | points.ResumeUpdates();
|
---|
| 260 | }
|
---|
| 261 |
|
---|
[6679] | 262 | private void chart_MouseMove(object sender, MouseEventArgs e) {
|
---|
| 263 | HitTestResult result = chart.HitTest(e.X, e.Y);
|
---|
| 264 | if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME)
|
---|
| 265 | Cursor = Cursors.Hand;
|
---|
| 266 | else
|
---|
| 267 | Cursor = Cursors.Default;
|
---|
| 268 | }
|
---|
| 269 | private void chart_MouseDown(object sender, MouseEventArgs e) {
|
---|
| 270 | HitTestResult result = chart.HitTest(e.X, e.Y);
|
---|
| 271 | if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME) {
|
---|
| 272 | ToggleSeriesData(result.Series);
|
---|
| 273 | }
|
---|
| 274 | }
|
---|
| 275 |
|
---|
| 276 | private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
|
---|
| 277 | if (chart.Series.Count != 4) return;
|
---|
| 278 | e.LegendItems[0].Cells[1].ForeColor = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
|
---|
| 279 | e.LegendItems[1].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
|
---|
| 280 | e.LegendItems[2].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
|
---|
| 281 | e.LegendItems[3].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
|
---|
| 282 | }
|
---|
[3408] | 283 | }
|
---|
| 284 | }
|
---|