source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantRegressionModel.cs @ 13992

Last change on this file since 13992 was 13992, checked in by gkronber, 3 years ago

#2604: set default target variable to string.Empty in AfterDeserialization hook for regression and classification models and changed a few ctor calls to correctly pass the target variable

File size: 3.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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 System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Problems.DataAnalysis {
31  [StorableClass]
32  [Item("Constant Regression Model", "A model that always returns the same constant value regardless of the presented input data.")]
33  [Obsolete]
34  public class ConstantRegressionModel : RegressionModel, IStringConvertibleValue {
35    public override IEnumerable<string> VariablesUsedForPrediction { get { return Enumerable.Empty<string>(); } }
36
37    [Storable]
38    private double constant;
39    public double Constant {
40      get { return constant; }
41      // setter not implemented because manipulation of the constant is not allowed
42    }
43
44    [StorableConstructor]
45    protected ConstantRegressionModel(bool deserializing) : base(deserializing) { }
46    protected ConstantRegressionModel(ConstantRegressionModel original, Cloner cloner)
47      : base(original, cloner) {
48      this.constant = original.constant;
49    }
50
51    public override IDeepCloneable Clone(Cloner cloner) { return new ConstantRegressionModel(this, cloner); }
52
53    public ConstantRegressionModel(double constant, string targetVariable = "Target")
54      : base(targetVariable) {
55      this.name = ItemName;
56      this.description = ItemDescription;
57      this.constant = constant;
58      this.ReadOnly = true; // changing a constant regression model is not supported
59    }
60
61    public override IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
62      return rows.Select(row => Constant);
63    }
64
65    public override IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
66      return new ConstantRegressionSolution(new ConstantModel(constant, TargetVariable), new RegressionProblemData(problemData));
67    }
68
69    public override string ToString() {
70      return string.Format("Constant: {0}", GetValue());
71    }
72
73    #region IStringConvertibleValue
74    public bool ReadOnly { get; private set; }
75    public bool Validate(string value, out string errorMessage) {
76      throw new NotSupportedException(); // changing a constant regression model is not supported
77    }
78
79    public string GetValue() {
80      return string.Format("{0:E4}", constant);
81    }
82
83    public bool SetValue(string value) {
84      throw new NotSupportedException(); // changing a constant regression model is not supported
85    }
86
87    public event EventHandler ValueChanged;
88    #endregion
89  }
90}
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