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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/Evaluators/SimpleMSEEvaluator.cs @ 6604

Last change on this file since 6604 was 5445, checked in by swagner, 14 years ago

Updated year of copyrights (#1406)

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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30
31namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
32  public class SimpleMSEEvaluator : SimpleEvaluator {
33
34    public ILookupParameter<DoubleValue> MeanSquaredErrorParameter {
35      get { return (ILookupParameter<DoubleValue>)Parameters["MeanSquaredError"]; }
36    }
37
38    [StorableConstructor]
39    protected SimpleMSEEvaluator(bool deserializing) : base(deserializing) { }
40    protected SimpleMSEEvaluator(SimpleMSEEvaluator original, Cloner cloner)
41      : base(original, cloner) {
42    }
43    public override IDeepCloneable Clone(Cloner cloner) {
44      return new SimpleMSEEvaluator(this, cloner);
45    }
46    public SimpleMSEEvaluator() {
47      Parameters.Add(new LookupParameter<DoubleValue>("MeanSquaredError", "The mean squared error of estimated values."));
48    }
49
50    protected override void Apply(DoubleMatrix values) {
51      MeanSquaredErrorParameter.ActualValue = new DoubleValue(Calculate(values));
52    }
53
54    public static double Calculate(IEnumerable<double> original, IEnumerable<double> estimated) {
55      var onlineMseEvaluator = new OnlineMeanSquaredErrorEvaluator();
56      var originalEnumerator = original.GetEnumerator();
57      var estimatedEnumerator = estimated.GetEnumerator();
58      while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
59        double e = estimatedEnumerator.Current;
60        double o = originalEnumerator.Current;
61        onlineMseEvaluator.Add(o, e);
62      }
63      if (estimatedEnumerator.MoveNext() || originalEnumerator.MoveNext()) {
64        throw new ArgumentException("Number of elements in original and estimated enumeration doesn't match.");
65      } else {
66        return onlineMseEvaluator.MeanSquaredError;
67      }
68    }
69
70    public static double Calculate(DoubleMatrix values) {
71      var original = from row in Enumerable.Range(0, values.Rows)
72                     select values[row, ORIGINAL_INDEX];
73      var estimated = from row in Enumerable.Range(0, values.Rows)
74                      select values[row, ESTIMATION_INDEX];
75      return Calculate(original, estimated);
76    }
77  }
78}
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