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source: branches/PerformanceComparison/HeuristicLab.OptimizationExpertSystem.Common/3.3/Recommenders/FixedRankModel.cs @ 13791

Last change on this file since 13791 was 13791, checked in by abeham, 9 years ago

#2457: working on recommendation algorithms

File size: 1.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Optimization;
23using System;
24using System.Collections.Generic;
25
26namespace HeuristicLab.OptimizationExpertSystem.Common {
27  public class FixedRankModel : IRecommendationModel {
28    private readonly List<Tuple<IAlgorithm, double>> ranking;
29
30    public FixedRankModel(IEnumerable<Tuple<IAlgorithm, double>> ranking) {
31      this.ranking = new List<Tuple<IAlgorithm, double>>();
32      foreach (var r in ranking) this.ranking.Add(r);
33    }
34 
35    public IEnumerable<Tuple<IAlgorithm, double>> GetRanking(IRun problemInstance) {
36      return ranking;
37    }
38
39    public static FixedRankModel GetEmpty() {
40      return new FixedRankModel(new Tuple<IAlgorithm, double>[0]);
41    }
42  }
43}
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