source: branches/2971_named_intervals/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSolutionsAnalyzer.cs @ 16628

Last change on this file since 16628 was 16628, checked in by gkronber, 4 months ago

#2971: made branch compile with current version of trunk

File size: 5.9 KB
Line 
1#region License Information
2
3/* HeuristicLab
4 * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
5 *
6 * This file is part of HeuristicLab.
7 *
8 * HeuristicLab is free software: you can redistribute it and/or modify
9 * it under the terms of the GNU General Public License as published by
10 * the Free Software Foundation, either version 3 of the License, or
11 * (at your option) any later version.
12 *
13 * HeuristicLab is distributed in the hope that it will be useful,
14 * but WITHOUT ANY WARRANTY; without even the implied warranty of
15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
16 * GNU General Public License for more details.
17 *
18 * You should have received a copy of the GNU General Public License
19 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
20 */
21
22#endregion
23
24using System;
25using System.Linq;
26using HeuristicLab.Analysis;
27using HeuristicLab.Common;
28using HeuristicLab.Core;
29using HeuristicLab.Data;
30using HeuristicLab.Operators;
31using HeuristicLab.Optimization;
32using HeuristicLab.Parameters;
33using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
34using HEAL.Attic;
35
36namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
37  [StorableType("C04C3B16-1F3F-4402-88F5-700B814F664E")]
38  public class SymbolicRegressionSolutionsAnalyzer : SingleSuccessorOperator, IAnalyzer {
39    private const string ResultCollectionParameterName = "Results";
40    private const string RegressionSolutionQualitiesResultName = "Regression Solution Qualities";
41    private const string TrainingQualityParameterName = "TrainingRSquared";
42    private const string TestQualityParameterName = "TestRSquared";
43
44    public ILookupParameter<ResultCollection> ResultCollectionParameter {
45      get { return (ILookupParameter<ResultCollection>)Parameters[ResultCollectionParameterName]; }
46    }
47    public ILookupParameter<DoubleValue> TrainingQualityParameter {
48      get { return (ILookupParameter<DoubleValue>)Parameters[TrainingQualityParameterName]; }
49    }
50    public ILookupParameter<DoubleValue> TestQualityParameter {
51      get { return (ILookupParameter<DoubleValue>)Parameters[TestQualityParameterName]; }
52    }
53
54    public virtual bool EnabledByDefault {
55      get { return false; }
56    }
57
58    [StorableConstructor]
59    protected SymbolicRegressionSolutionsAnalyzer(StorableConstructorFlag _) : base(_) { }
60    protected SymbolicRegressionSolutionsAnalyzer(SymbolicRegressionSolutionsAnalyzer original, Cloner cloner)
61      : base(original, cloner) { }
62    public override IDeepCloneable Clone(Cloner cloner) {
63      return new SymbolicRegressionSolutionsAnalyzer(this, cloner);
64    }
65
66    public SymbolicRegressionSolutionsAnalyzer() {
67      Parameters.Add(new LookupParameter<ResultCollection>(ResultCollectionParameterName, "The result collection to store the analysis results."));
68      Parameters.Add(new LookupParameter<DoubleValue>(TrainingQualityParameterName));
69      Parameters.Add(new LookupParameter<DoubleValue>(TestQualityParameterName));
70    }
71
72    [StorableHook(HookType.AfterDeserialization)]
73    private void AfterDeserialization() {
74      // BackwardsCompatibility3.3
75
76      #region Backwards compatible code, remove with 3.4
77      if (!Parameters.ContainsKey(TrainingQualityParameterName))
78        Parameters.Add(new LookupParameter<DoubleValue>(TrainingQualityParameterName));
79      if (!Parameters.ContainsKey(TestQualityParameterName))
80        Parameters.Add(new LookupParameter<DoubleValue>(TestQualityParameterName));
81      #endregion
82    }
83
84    public override IOperation Apply() {
85      var results = ResultCollectionParameter.ActualValue;
86
87      if (!results.ContainsKey(RegressionSolutionQualitiesResultName)) {
88        var newDataTable = new DataTable(RegressionSolutionQualitiesResultName);
89        results.Add(new Result(RegressionSolutionQualitiesResultName, "Chart displaying the training and test qualities of the regression solutions.", newDataTable));
90      }
91
92      var dataTable = (DataTable)results[RegressionSolutionQualitiesResultName].Value;
93
94      // only if the parameters are available (not available in old persisted code)
95      ILookupParameter<DoubleValue> trainingQualityParam = null;
96      ILookupParameter<DoubleValue> testQualityParam = null;
97      // store actual names of parameter because it is changed below
98      trainingQualityParam = TrainingQualityParameter;
99      string prevTrainingQualityParamName = trainingQualityParam.ActualName;
100      testQualityParam = TestQualityParameter;
101      string prevTestQualityParamName = testQualityParam.ActualName;
102      foreach (var result in results.Where(r => r.Value is IRegressionSolution)) {
103        var solution = (IRegressionSolution)result.Value;
104
105        var trainingR2Name = result.Name + " Training R²";
106        if (!dataTable.Rows.ContainsKey(trainingR2Name))
107          dataTable.Rows.Add(new DataRow(trainingR2Name));
108
109        var testR2Name = result.Name + " Test R²";
110        if (!dataTable.Rows.ContainsKey(testR2Name))
111          dataTable.Rows.Add(new DataRow(testR2Name));
112
113        dataTable.Rows[trainingR2Name].Values.Add(solution.TrainingRSquared);
114        dataTable.Rows[testR2Name].Values.Add(solution.TestRSquared);
115
116        // also add training and test R² to the scope using the parameters
117        // HACK: we change the ActualName of the parameter to write two variables for each solution in the results collection
118        trainingQualityParam.ActualName = trainingR2Name;
119        trainingQualityParam.ActualValue = new DoubleValue(solution.TrainingRSquared);
120        testQualityParam.ActualName = testR2Name;
121        testQualityParam.ActualValue = new DoubleValue(solution.TestRSquared);
122      }
123
124      trainingQualityParam.ActualName = prevTrainingQualityParamName;
125      testQualityParam.ActualName = prevTestQualityParamName;
126
127      return base.Apply();
128    }
129  }
130}
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