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source: stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/ModelCreators/AccuracyMaximizingThresholdsModelCreator.cs @ 14027

Last change on this file since 14027 was 14027, checked in by mkommend, 8 years ago

#2604: Merged r13826,r13921, r13922, r13941, r13992, r13993, r14000 intos table.

File size: 3.0 KB
Line 
1#region License Information
2
3/* HeuristicLab
4 * Copyright (C) 2002-2015 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
22#endregion
23using System.Drawing;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
30  [StorableClass]
31  [Item("AccuracyMaximizingThresholdsModelCreator", "")]
32  public sealed class AccuracyMaximizingThresholdsModelCreator : Item, ISymbolicDiscriminantFunctionClassificationModelCreator {
33    public static new Image StaticItemImage {
34      get { return HeuristicLab.Common.Resources.VSImageLibrary.Method; }
35    }
36    public override Image ItemImage {
37      get { return HeuristicLab.Common.Resources.VSImageLibrary.Method; }
38    }
39    [StorableConstructor]
40    private AccuracyMaximizingThresholdsModelCreator(bool deserializing) : base(deserializing) { }
41    private AccuracyMaximizingThresholdsModelCreator(AccuracyMaximizingThresholdsModelCreator original, Cloner cloner) : base(original, cloner) { }
42    public AccuracyMaximizingThresholdsModelCreator() : base() { }
43
44    public override IDeepCloneable Clone(Cloner cloner) { return new AccuracyMaximizingThresholdsModelCreator(this, cloner); }
45
46
47    public ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
48      return CreateSymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
49    }
50    public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
51      return new SymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, new AccuracyMaximizationThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit);
52    }
53
54  }
55}
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