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source: branches/Persistence Test/HeuristicLab.SupportVectorMachines/3.2/SupportVectorClassification.cs @ 4498

Last change on this file since 4498 was 2454, checked in by gkronber, 15 years ago

Implemented NodeBasedVariableImpactCalculator. #793

File size: 2.0 KB
Line 
1
2#region License Information
3/* HeuristicLab
4 * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
5 *
6 * This file is part of HeuristicLab.
7 *
8 * HeuristicLab is free software: you can redistribute it and/or modify
9 * it under the terms of the GNU General Public License as published by
10 * the Free Software Foundation, either version 3 of the License, or
11 * (at your option) any later version.
12 *
13 * HeuristicLab is distributed in the hope that it will be useful,
14 * but WITHOUT ANY WARRANTY; without even the implied warranty of
15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
16 * GNU General Public License for more details.
17 *
18 * You should have received a copy of the GNU General Public License
19 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
20 */
21#endregion
22
23using System;
24using System.Collections.Generic;
25using System.Linq;
26using System.Text;
27using HeuristicLab.Core;
28using System.Xml;
29using System.Diagnostics;
30using HeuristicLab.DataAnalysis;
31using HeuristicLab.Data;
32using HeuristicLab.Operators;
33using HeuristicLab.Logging;
34using HeuristicLab.Operators.Programmable;
35using HeuristicLab.Modeling;
36using HeuristicLab.Random;
37using HeuristicLab.Selection;
38
39namespace HeuristicLab.SupportVectorMachines {
40  public class SupportVectorClassification : SupportVectorRegression, IClassificationAlgorithm {
41
42    public override string Name { get { return "SupportVectorClassification"; } }
43
44    public SupportVectorClassification()
45      : base() {
46      SvmType = "NU_SVC";
47      CostList = new DoubleArrayData(new double[] { 1.0 });
48      MaxCostIndex = 1;
49    }
50
51    protected override IOperator CreateModelAnalyzerOperator() {
52      return DefaultClassificationOperators.CreatePostProcessingOperator();
53    }
54
55
56    protected override void CreateSpecificSVMModel(IScope bestModelScope, IAnalyzerModel model) {
57      DefaultClassificationOperators.PopulateAnalyzerModel(bestModelScope, model);
58    }
59  }
60}
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