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source: trunk/sources/HeuristicLab.CEDMA.Server/RandomDispatcher.cs @ 1307

Last change on this file since 1307 was 1287, checked in by gkronber, 16 years ago

Merged change sets from CEDMA branch to trunk:

File size: 2.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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.Text;
25using System.Windows.Forms;
26using HeuristicLab.PluginInfrastructure;
27using System.Net;
28using System.ServiceModel;
29using HeuristicLab.CEDMA.DB.Interfaces;
30using HeuristicLab.CEDMA.DB;
31using System.ServiceModel.Description;
32using System.Linq;
33using HeuristicLab.CEDMA.Core;
34using HeuristicLab.GP.StructureIdentification;
35using HeuristicLab.Data;
36using HeuristicLab.Core;
37
38namespace HeuristicLab.CEDMA.Server {
39  public class RandomDispatcher : DispatcherBase {
40    private Random random;
41    public RandomDispatcher(IStore store)
42      : base(store) {
43      random = new Random();
44    }
45
46    public override Algorithm SelectAlgorithm(DataSet dataSet, int targetVariable, Algorithm[] possibleAlgorithms) {
47      return possibleAlgorithms[random.Next(possibleAlgorithms.Length)];
48    }
49
50    public override ModelComplexity SelectComplexity(DataSet dataSet, int targetVariable, Algorithm algorithm, ModelComplexity[] possibleComplexities) {
51      return possibleComplexities[random.Next(possibleComplexities.Length)];
52    }
53
54    public override Entity SelectDataSet(Entity[] datasets) {
55      return datasets[random.Next(datasets.Length)];
56    }
57
58    public override int SelectTargetVariable(DataSet dataSet, int[] targetVariables) {
59      return targetVariables[random.Next(targetVariables.Length)];
60    }
61  }
62}
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