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source: branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Transformations/3.3/LinearTransformation.cs @ 10777

Last change on this file since 10777 was 10777, checked in by tsteinre, 10 years ago

LinearTransformation: Renamed Multiplier and Addend

File size: 3.5 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
22
23using System;
24using System.Collections.Generic;
25using System.Linq;
26using System.Text;
27using HeuristicLab.Common;
28using HeuristicLab.Core;
29using HeuristicLab.Data;
30using HeuristicLab.Parameters;
31using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
32
33namespace HeuristicLab.Problems.DataAnalysis.Transformations {
34  [Item("LinearTransformation", "Represents a linear transformation with multiplication and addition.")]
35  public class LinearTransformation : Transformation<double> {
36    protected const string MultiplierParameterName = "Multiplier";
37    protected const string AddendParameterName = "Addend";
38
39    #region Parameters
40    public IValueParameter<DoubleValue> MultiplierParameter {
41      get { return (IValueParameter<DoubleValue>)Parameters[MultiplierParameterName]; }
42    }
43    public IValueParameter<DoubleValue> AddendParameter {
44      get { return (IValueParameter<DoubleValue>)Parameters[AddendParameterName]; }
45    }
46    #endregion
47
48    #region properties
49    public double Multiplier {
50      get { return MultiplierParameter.Value.Value; }
51      protected set {
52        MultiplierParameter.Value.Value = value;
53      }
54    }
55
56    public double Addend {
57      get { return AddendParameter.Value.Value; }
58      protected set {
59        AddendParameter.Value.Value = value;
60      }
61    }
62    #endregion
63
64    [StorableConstructor]
65    protected LinearTransformation(bool deserializing) : base(deserializing) { }
66    protected LinearTransformation(Transformation<double> original, Cloner cloner)
67      : base(original, cloner) {
68    }
69    protected LinearTransformation() {
70    }
71    public LinearTransformation(IEnumerable<string> allowedColumns)
72      : base(allowedColumns) {
73      Parameters.Add(new ValueParameter<DoubleValue>(MultiplierParameterName, "Multiplier for linear transformation", new DoubleValue(1.0)));
74      Parameters.Add(new ValueParameter<DoubleValue>(AddendParameterName, "Addend for linear transformation", new DoubleValue(0.0)));
75    }
76
77    public override IDeepCloneable Clone(Cloner cloner) {
78      return new LinearTransformation(this, cloner);
79    }
80
81    public override IEnumerable<double> Apply(IEnumerable<double> data) {
82      return data.Select(e => e * Multiplier + Addend);
83    }
84
85    public override bool Check(IEnumerable<double> data, out string errorMsg) {
86      StringBuilder sb = new StringBuilder();
87      bool success = true;
88      errorMsg = null;
89
90      if (Multiplier == 0.0) {
91        sb.Append(String.Format("Multiplicand is 0, all {0} entries will be set to {1}. Reversal will not be possble", data.Count(), Addend));
92        errorMsg = sb.ToString();
93        success = false;
94      }
95      return success;
96    }
97  }
98}
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