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source: branches/2994-AutoDiffForIntervals/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/ModelCreators/NormalDistributedThresholdsModelCreator.cs @ 17116

Last change on this file since 17116 was 16565, checked in by gkronber, 6 years ago

#2520: merged changes from PersistenceOverhaul branch (r16451:16564) into trunk

File size: 3.0 KB
Line 
1#region License Information
2
3/* HeuristicLab
4 * Copyright (C) 2002-2019 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
23
24using System.Drawing;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
28using HEAL.Attic;
29
30namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
31  [StorableType("87C4FF17-FC59-4D0F-80F5-2C84499E1222")]
32  [Item("NormalDistributedThresholdsModelCreator", "")]
33  public sealed class NormalDistributedThresholdsModelCreator : Item, ISymbolicDiscriminantFunctionClassificationModelCreator {
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    [StorableConstructor]
41    private NormalDistributedThresholdsModelCreator(StorableConstructorFlag _) : base(_) { }
42    private NormalDistributedThresholdsModelCreator(NormalDistributedThresholdsModelCreator original, Cloner cloner) : base(original, cloner) { }
43    public NormalDistributedThresholdsModelCreator() : base() { }
44
45    public override IDeepCloneable Clone(Cloner cloner) { return new NormalDistributedThresholdsModelCreator(this, cloner); }
46
47
48    public ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
49      return CreateSymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
50    }
51    public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
52      return new SymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, new NormalDistributionCutPointsThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit);
53    }
54
55  }
56}
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