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source: branches/LearningClassifierSystems/HeuristicLab.Problems.Instances.ConditionActionClassification/3.3/VariableVectorCVSInstanceProvider.cs @ 9242

Last change on this file since 9242 was 9242, checked in by sforsten, 12 years ago

#1980:

  • fixed several bugs (crossover, subsumption, serialization etc.)
  • added ModuloOperator
  • CombinedIntegerVectorClassificationProblem\Data and VariableVectorClassificationProblem\Data inherit from ConditionActionClassificationProblem\Data
  • it can now be set how often the analyzers have to be executed
  • VariableVectorAction, VariableVectorCondition and VariableVectorInput now inherit from Item
File size: 1.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 System.Linq;
24using HeuristicLab.Problems.DataAnalysis;
25using HeuristicLab.Problems.Instances.DataAnalysis;
26using HeuristicLab.Problems.VariableVectorClassification;
27
28namespace HeuristicLab.Problems.Instances.ConditionActionClassification {
29  public class VariableVectorCVSInstanceProvider : ConditionActionInstanceProvider<VariableVectorClassificationProblemData> {
30    public override VariableVectorClassificationProblemData ImportData(string path) {
31      TableFileParser csvParser = new TableFileParser();
32      csvParser.Parse(path);
33      Dataset dataset = new Dataset(csvParser.VariableNames, csvParser.Values);
34
35      VariableVectorClassificationProblemData problemData = new VariableVectorClassificationProblemData(dataset,
36        csvParser.VariableNames.Take(csvParser.VariableNames.Count() - 1), new List<string>() { csvParser.VariableNames.Last() });
37
38      return problemData;
39    }
40  }
41}
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