1 | using System.Linq;
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2 | using HeuristicLab.Analysis;
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3 | using HeuristicLab.Common;
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4 | using HeuristicLab.Core;
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5 | using HeuristicLab.Optimization;
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6 | using HeuristicLab.Parameters;
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7 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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8 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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9 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
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10 |
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11 | namespace HeuristicLab.OSGAEvaluator {
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12 | [Item("OSGAPredictionCountsAnalyzer", "An analyzer which records the counts of the rejected offspring predicted by the evaluator without evaluating all rows.")]
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13 | [StorableClass]
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14 |
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15 | public class OSGAPredictionCountsAnalyzer : SymbolicDataAnalysisSingleObjectiveAnalyzer {
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16 | private const string EvaluatorParameterName = "Evaluator";
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17 | private const string ResultCollectionParameterName = "Results";
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18 |
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19 | public ILookupParameter<SymbolicRegressionSingleObjectiveOsgaEvaluator> EvaluatorParameter {
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20 | get { return (ILookupParameter<SymbolicRegressionSingleObjectiveOsgaEvaluator>)Parameters[EvaluatorParameterName]; }
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21 | }
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22 |
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23 | public OSGAPredictionCountsAnalyzer() {
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24 | Parameters.Add(new LookupParameter<SymbolicRegressionSingleObjectiveOsgaEvaluator>(EvaluatorParameterName));
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25 | }
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26 |
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27 | protected OSGAPredictionCountsAnalyzer(OSGAPredictionCountsAnalyzer original, Cloner cloner) : base(original, cloner) {
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28 | }
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29 |
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30 | public override IDeepCloneable Clone(Cloner cloner) {
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31 | return new OSGAPredictionCountsAnalyzer(this, cloner);
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32 | }
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33 |
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34 | public override IOperation Apply() {
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35 | var evaluator = EvaluatorParameter.ActualValue;
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36 | if (evaluator == null)
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37 | return base.Apply();
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38 |
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39 | var rejectedStats = evaluator.RejectedStats;
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40 | var totalStats = evaluator.TotalStats;
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41 |
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42 | if (rejectedStats.Rows == 0 || totalStats.Rows == 0)
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43 | return base.Apply();
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44 |
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45 | ResultCollection predictionResults;
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46 | DataTable rejectedStatsTable, totalStatsTable, rejectedStatsPerGenerationTable, nonRejectedStatsPerGenerationTable;
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47 | if (!ResultCollection.ContainsKey("OS Prediction")) {
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48 | predictionResults = new ResultCollection();
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49 | rejectedStatsTable = new DataTable("Rejected Stats");
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50 | foreach (var rowName in rejectedStats.RowNames) {
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51 | rejectedStatsTable.Rows.Add(new DataRow(rowName) { VisualProperties = { StartIndexZero = true, ChartType = DataRowVisualProperties.DataRowChartType.Columns, LineWidth = 1 } });
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52 | }
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53 | predictionResults.Add(new Result("Rejected Stats", rejectedStatsTable));
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54 | totalStatsTable = new DataTable("Total Stats");
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55 | foreach (var rowName in totalStats.RowNames) {
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56 | totalStatsTable.Rows.Add(new DataRow(rowName) { VisualProperties = { StartIndexZero = true, ChartType = DataRowVisualProperties.DataRowChartType.Columns, LineWidth = 1 } });
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57 | }
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58 | predictionResults.Add(new Result("Total Stats", totalStatsTable));
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59 | rejectedStatsPerGenerationTable = new DataTable("Rejected Per Generation");
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60 | nonRejectedStatsPerGenerationTable = new DataTable("Non Rejected Stats per Generation");
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61 | foreach (var rowName in rejectedStats.RowNames) {
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62 | rejectedStatsPerGenerationTable.Rows.Add(new DataRow(rowName) { VisualProperties = { StartIndexZero = true, ChartType = DataRowVisualProperties.DataRowChartType.Line, LineWidth = 1 } });
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63 | rejectedStatsPerGenerationTable.Rows[rowName].Values.Add(0d);
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64 | nonRejectedStatsPerGenerationTable.Rows.Add(new DataRow(rowName) { VisualProperties = { StartIndexZero = true, ChartType = DataRowVisualProperties.DataRowChartType.Line, LineWidth = 1 } });
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65 | nonRejectedStatsPerGenerationTable.Rows[rowName].Values.Add(0d);
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66 | }
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67 | predictionResults.Add(new Result("Rejected Stats Per Generation", rejectedStatsPerGenerationTable));
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68 | predictionResults.Add(new Result("Non Rejected Stats Per Generation", nonRejectedStatsPerGenerationTable));
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69 | ResultCollection.Add(new Result("OS Prediction", predictionResults));
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70 | } else {
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71 | predictionResults = (ResultCollection)ResultCollection["OS Prediction"].Value;
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72 | rejectedStatsTable = (DataTable)predictionResults["Rejected Stats"].Value;
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73 | totalStatsTable = (DataTable)predictionResults["Total Stats"].Value;
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74 | rejectedStatsPerGenerationTable = (DataTable)predictionResults["Rejected Stats Per Generation"].Value;
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75 | nonRejectedStatsPerGenerationTable = (DataTable)predictionResults["Non Rejected Stats Per Generation"].Value;
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76 | }
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77 |
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78 | int i = 0;
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79 | foreach (var rowName in rejectedStats.RowNames) {
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80 | // pad values with a 0 on each side to prevent clipping
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81 | rejectedStatsTable.Rows[rowName].Values.Replace(new[] { 0d }.Concat(Enumerable.Range(0, rejectedStats.Columns).Select(j => (double)rejectedStats[i, j])).Concat(new[] { 0d }));
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82 | ++i;
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83 | }
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84 | i = 0;
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85 | foreach (var rowName in totalStats.RowNames) {
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86 | totalStatsTable.Rows[rowName].Values.Replace(new[] { 0d }.Concat(Enumerable.Range(0, totalStats.Columns).Select(j => (double)totalStats[i, j])).Concat(new[] { 0d }));
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87 | var row = rejectedStatsPerGenerationTable.Rows[rowName];
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88 | var sum = row.Values.Sum();
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89 | row.Values.Add(totalStats[i, 0] - sum);
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90 | row = nonRejectedStatsPerGenerationTable.Rows[rowName];
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91 | sum = row.Values.Sum();
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92 | row.Values.Add(totalStats[i, 1] - sum);
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93 | ++i;
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94 | }
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95 | return base.Apply();
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96 | }
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97 | }
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98 | }
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