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source: branches/3.2/sources/HeuristicLab.CEDMA.Server/3.3/Problem.cs @ 10077

Last change on this file since 10077 was 2238, checked in by gkronber, 15 years ago

Deleted unused files in HL.CEDMA plugins. #712

File size: 3.6 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.Linq;
25using System.Text;
26using HeuristicLab.Core;
27using System.Xml;
28using HeuristicLab.Operators;
29
30namespace HeuristicLab.CEDMA.Server {
31
32
33  /// <summary>
34  /// Problem describes the data mining task.
35  /// Contains the actual data and meta-data:
36  ///  * which variables should be modelled
37  ///  * regression, time-series or classification problem
38  /// </summary>
39  public class Problem {
40    internal event EventHandler Changed;
41
42    private HeuristicLab.DataAnalysis.Dataset dataset;
43    public HeuristicLab.DataAnalysis.Dataset Dataset {
44      get { return dataset; }
45      set {
46        if (value != dataset) {
47          dataset = value;
48        }
49      }
50    }
51
52    private int trainingSamplesStart;
53    public int TrainingSamplesStart {
54      get { return trainingSamplesStart; }
55      set { trainingSamplesStart = value; }
56    }
57
58    private int trainingSamplesEnd;
59    public int TrainingSamplesEnd {
60      get { return trainingSamplesEnd; }
61      set { trainingSamplesEnd = value; }
62    }
63
64    private int validationSamplesStart;
65    public int ValidationSamplesStart {
66      get { return validationSamplesStart; }
67      set { validationSamplesStart = value; }
68    }
69
70    private int validationSamplesEnd;
71    public int ValidationSamplesEnd {
72      get { return validationSamplesEnd; }
73      set { validationSamplesEnd = value; }
74    }
75
76    private int testSamplesStart;
77    public int TestSamplesStart {
78      get { return testSamplesStart; }
79      set { testSamplesStart = value; }
80    }
81
82    private int testSamplesEnd;
83    public int TestSamplesEnd {
84      get { return testSamplesEnd; }
85      set { testSamplesEnd = value; }
86    }
87
88    private bool autoRegressive;
89    public bool AutoRegressive {
90      get { return autoRegressive; }
91      set { autoRegressive = value; }
92    }
93
94    private int minTimeOffset;
95    public int MinTimeOffset {
96      get { return minTimeOffset; }
97      set { minTimeOffset = value; }
98    }
99
100    private int maxTimeOffset;
101    public int MaxTimeOffset {
102      get { return maxTimeOffset; }
103      set { maxTimeOffset = value; }
104    }
105
106    private LearningTask learningTask;
107    public LearningTask LearningTask {
108      get { return learningTask; }
109      set { learningTask = value; }
110    }
111
112    public Problem()
113      : base() {
114      Dataset = new HeuristicLab.DataAnalysis.Dataset();
115    }
116
117    public string GetVariableName(int index) {
118      return dataset.GetVariableName(index);
119    }
120
121    public IView CreateView() {
122      return new ProblemView(this);
123    }
124
125    internal void FireChanged() {
126      if (Changed != null) Changed(this, new EventArgs());
127    }
128  }
129}
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