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source: stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionModel.cs @ 10907

Last change on this file since 10907 was 9931, checked in by ascheibe, 11 years ago

#1730 merged r9587,r9590, r9600, r9607, r9626, r9658, r9659, r9699, r9906 into stable

File size: 2.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
29  /// <summary>
30  /// Represents a symbolic regression model
31  /// </summary>
32  [StorableClass]
33  [Item(Name = "Symbolic Regression Model", Description = "Represents a symbolic regression model.")]
34  public class SymbolicRegressionModel : SymbolicDataAnalysisModel, ISymbolicRegressionModel {
35
36
37    [StorableConstructor]
38    protected SymbolicRegressionModel(bool deserializing) : base(deserializing) { }
39    protected SymbolicRegressionModel(SymbolicRegressionModel original, Cloner cloner) : base(original, cloner) { }
40
41    public SymbolicRegressionModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
42      double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue)
43      : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) { }
44
45    public override IDeepCloneable Clone(Cloner cloner) {
46      return new SymbolicRegressionModel(this, cloner);
47    }
48
49    public IEnumerable<double> GetEstimatedValues(Dataset dataset, IEnumerable<int> rows) {
50      return Interpreter.GetSymbolicExpressionTreeValues(SymbolicExpressionTree, dataset, rows)
51        .LimitToRange(LowerEstimationLimit, UpperEstimationLimit);
52    }
53
54    public ISymbolicRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
55      return new SymbolicRegressionSolution(this, new RegressionProblemData(problemData));
56    }
57    IRegressionSolution IRegressionModel.CreateRegressionSolution(IRegressionProblemData problemData) {
58      return CreateRegressionSolution(problemData);
59    }
60
61    public void Scale(IRegressionProblemData problemData) {
62      Scale(problemData, problemData.TargetVariable);
63    }
64  }
65}
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