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source: branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/ClassificationGenerator/ClassificationBenchmark.cs @ 7317

Last change on this file since 7317 was 7127, checked in by sforsten, 13 years ago

#1669:
-Spatial co-evolution benchmark has been added
-Benchmarks of Trent McConaghy have been added
-2 Classification benchmarks have been added (Mammography and Iris dataset)
-Training and test set include now all samples from the dataset
-Load button and combo box are now disabled when the algorithm is running

File size: 2.0 KB
Line 
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 System.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Data;
25using HeuristicLab.Random;
26
27namespace HeuristicLab.Problems.DataAnalysis.Benchmarks {
28  public abstract class ClassificationBenchmark : Benchmark, IClassificationBenchmarkProblemDataGenerator {
29
30    #region properties
31    protected string targetVariable;
32    protected List<string> inputVariables;
33    protected IntRange trainingPartition;
34    protected IntRange testPartition;
35
36    public string TargetVariable {
37      get { return targetVariable; }
38    }
39
40    public List<string> InputVariable {
41      get { return inputVariables; }
42    }
43
44    public IntRange TrainingPartition {
45      get { return trainingPartition; }
46    }
47
48    public IntRange TestPartition {
49      get { return testPartition; }
50    }
51    #endregion
52
53    protected static FastRandom rand = new FastRandom();
54
55    protected ClassificationBenchmark() { }
56    protected ClassificationBenchmark(ClassificationBenchmark original, Cloner cloner)
57      : base(original, cloner) {
58    }
59
60    public abstract IDataAnalysisProblemData GenerateProblemData();
61  }
62}
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