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source: branches/2893_BNLR/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionModel.cs @ 17347

Last change on this file since 17347 was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 3.6 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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
22using System;
23using System.Collections.Generic;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
30  /// <summary>
31  /// Represents a symbolic regression model
32  /// </summary>
33  [StorableClass]
34  [Item(Name = "Symbolic Regression Model", Description = "Represents a symbolic regression model.")]
35  public class SymbolicRegressionModel : SymbolicDataAnalysisModel, ISymbolicRegressionModel {
36    [Storable]
37    private string targetVariable;
38    public string TargetVariable {
39      get { return targetVariable; }
40      set {
41        if (string.IsNullOrEmpty(value) || targetVariable == value) return;
42        targetVariable = value;
43        OnTargetVariableChanged(this, EventArgs.Empty);
44      }
45    }
46
47    [StorableConstructor]
48    protected SymbolicRegressionModel(bool deserializing)
49      : base(deserializing) {
50      targetVariable = string.Empty;
51    }
52
53    protected SymbolicRegressionModel(SymbolicRegressionModel original, Cloner cloner)
54      : base(original, cloner) {
55      this.targetVariable = original.targetVariable;
56    }
57
58    public SymbolicRegressionModel(string targetVariable, ISymbolicExpressionTree tree,
59      ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
60      double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue)
61      : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) {
62      this.targetVariable = targetVariable;
63    }
64
65    public override IDeepCloneable Clone(Cloner cloner) {
66      return new SymbolicRegressionModel(this, cloner);
67    }
68
69    public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
70      return Interpreter.GetSymbolicExpressionTreeValues(SymbolicExpressionTree, dataset, rows)
71        .LimitToRange(LowerEstimationLimit, UpperEstimationLimit);
72    }
73
74    public ISymbolicRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
75      return new SymbolicRegressionSolution(this, new RegressionProblemData(problemData));
76    }
77    IRegressionSolution IRegressionModel.CreateRegressionSolution(IRegressionProblemData problemData) {
78      return CreateRegressionSolution(problemData);
79    }
80
81    public void Scale(IRegressionProblemData problemData) {
82      Scale(problemData, problemData.TargetVariable);
83    }
84
85    #region events
86    public event EventHandler TargetVariableChanged;
87    private void OnTargetVariableChanged(object sender, EventArgs args) {
88      var changed = TargetVariableChanged;
89      if (changed != null)
90        changed(sender, args);
91    }
92    #endregion
93  }
94}
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