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source: branches/ClassificationEnsembleVoting/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantRegressionModel.cs @ 8534

Last change on this file since 8534 was 8534, checked in by sforsten, 10 years ago

#1776:

  • merged r8508:8533 from trunk into branch
  • AverageThresholdCalculator and MedianThresholdCalculator can now handle multi class classification
  • changed combo boxes in ClassificationEnsembleSolutionView to drop down list
File size: 2.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Problems.DataAnalysis {
29  [Item("Constant Regression Model", "A model that always returns the same constant value regardless of the presented input data.")]
30  public class ConstantRegressionModel : NamedItem, IRegressionModel {
31    [Storable]
32    private double constant;
33    public double Constant {
34      get { return constant; }
35    }
36
37    [StorableConstructor]
38    protected ConstantRegressionModel(bool deserializing) : base(deserializing) { }
39    protected ConstantRegressionModel(ConstantRegressionModel original, Cloner cloner)
40      : base(original, cloner) {
41      this.constant = original.constant;
42    }
43    public override IDeepCloneable Clone(Cloner cloner) { return new ConstantRegressionModel(this, cloner); }
44
45    public ConstantRegressionModel(double constant)
46      : base() {
47      this.name = ItemName;
48      this.description = ItemDescription;
49      this.constant = constant;
50    }
51
52    public IEnumerable<double> GetEstimatedValues(Dataset dataset, IEnumerable<int> rows) {
53      return rows.Select(row => Constant);
54    }
55
56    public IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
57      return new ConstantRegressionSolution(this, new RegressionProblemData(problemData));
58    }
59  }
60}
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