source: branches/Sliding Window GP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisMultiObjectiveEvaluator.cs @ 9708

Last change on this file since 9708 was 9708, checked in by mkommend, 6 years ago

#1837: Merged trunk changes into sliding window gp branch.

File size: 2.3 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
22using System.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
29
30namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
31  public abstract class SymbolicDataAnalysisMultiObjectiveEvaluator<T> : SymbolicDataAnalysisEvaluator<T>, ISymbolicDataAnalysisMultiObjectiveEvaluator<T>
32   where T : class, IDataAnalysisProblemData {
33    private const string QualitiesParameterName = "Qualities";
34    public ILookupParameter<DoubleArray> QualitiesParameter {
35      get { return (ILookupParameter<DoubleArray>)Parameters[QualitiesParameterName]; }
36    }
37
38    public abstract IEnumerable<bool> Maximization { get; }
39
40    [StorableConstructor]
41    protected SymbolicDataAnalysisMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }
42    protected SymbolicDataAnalysisMultiObjectiveEvaluator(SymbolicDataAnalysisMultiObjectiveEvaluator<T> original, Cloner cloner)
43      : base(original, cloner) {
44    }
45
46    protected SymbolicDataAnalysisMultiObjectiveEvaluator()
47      : base() {
48      Parameters.Add(new LookupParameter<DoubleArray>(QualitiesParameterName, "The qualities of the evaluated symbolic data analysis solution."));
49    }
50
51    public abstract double[] Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, T problemData, IEnumerable<int> rows);
52  }
53}
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