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source: branches/PersistenceSpeedUp/HeuristicLab.Problems.DataAnalysis/3.3/Evaluators/SimpleEvaluator.cs @ 15834

Last change on this file since 15834 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Operators;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
30  public abstract class SimpleEvaluator : SingleSuccessorOperator {
31    public const int ORIGINAL_INDEX = 0;
32    public const int ESTIMATION_INDEX = 1;
33
34    public ILookupParameter<DoubleMatrix> ValuesParameter {
35      get { return (ILookupParameter<DoubleMatrix>)Parameters["Values"]; }
36    }
37    [StorableConstructor]
38    protected SimpleEvaluator(bool deserializing) : base(deserializing) { }
39    protected SimpleEvaluator(SimpleEvaluator original, Cloner cloner)
40      : base(original, cloner) {
41    }
42    public SimpleEvaluator()
43      : base() {
44      Parameters.Add(new LookupParameter<DoubleMatrix>("Values", "Table of original and predicted values for which the quality value should be evaluated."));
45    }
46
47    public override IOperation Apply() {
48      DoubleMatrix values = ValuesParameter.ActualValue;
49      Apply(values);
50      return base.Apply();
51    }
52
53    protected abstract void Apply(DoubleMatrix values);
54  }
55}
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