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source: branches/SimplifierViewsProgress/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/DataAnalysisModel.cs @ 15371

Last change on this file since 15371 was 13941, checked in by mkommend, 8 years ago

#2604:

  • Base classes for data analysis, classification, and regression models
  • Added target variable to classification and regression models
  • Switched parameter order in data analysis solutions (model, problemdata)
File size: 1.7 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 System.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Problems.DataAnalysis {
28  [StorableClass]
29  [Item("DataAnalysisModel", "Base class for data analysis models.")]
30  public abstract class DataAnalysisModel : NamedItem, IDataAnalysisModel {
31    [StorableConstructor]
32    protected DataAnalysisModel(bool deserializing) : base(deserializing) { }
33    protected DataAnalysisModel(DataAnalysisModel original, Cloner cloner)
34      : base(original, cloner) { }
35    protected DataAnalysisModel() { }
36    protected DataAnalysisModel(string name) : base(name) { }
37    protected DataAnalysisModel(string name, string description) : base(name, description) { }
38
39    public abstract IEnumerable<string> VariablesUsedForPrediction { get; }
40  }
41}
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