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source: branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/ModelCreators/NearestNeighborModelCreator.cs @ 14927

Last change on this file since 14927 was 14927, checked in by gkronber, 7 years ago

#2520: changed all usages of StorableClass to use StorableType with an auto-generated GUID (did not add StorableType to other type definitions yet)

File size: 2.7 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.Drawing;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence;
29
30namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
31  [StorableType("801d9995-9994-44c1-816c-89bd7891f060")]
32  [Item("NearestNeighborModelCreator", "")]
33  public sealed class NearestNeighborModelCreator : ParameterizedNamedItem, ISymbolicClassificationModelCreator {
34    public static new Image StaticItemImage {
35      get { return HeuristicLab.Common.Resources.VSImageLibrary.Method; }
36    }
37    public override Image ItemImage {
38      get { return HeuristicLab.Common.Resources.VSImageLibrary.Method; }
39    }
40
41    public IFixedValueParameter<IntValue> KParameter {
42      get { return (IFixedValueParameter<IntValue>)Parameters["K"]; }
43    }
44
45    [StorableConstructor]
46    private NearestNeighborModelCreator(bool deserializing) : base(deserializing) { }
47    private NearestNeighborModelCreator(NearestNeighborModelCreator original, Cloner cloner) : base(original, cloner) { }
48    public NearestNeighborModelCreator()
49      : base() {
50      Parameters.Add(new FixedValueParameter<IntValue>("K", "The number of neighbours to use to determine the class.", new IntValue(11)));
51    }
52
53    public override IDeepCloneable Clone(Cloner cloner) { return new NearestNeighborModelCreator(this, cloner); }
54
55
56    public ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
57      return new SymbolicNearestNeighbourClassificationModel(targetVariable, KParameter.Value.Value, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
58    }
59
60  }
61}
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