- Timestamp:
- 01/28/19 13:41:42 (6 years ago)
- Location:
- trunk
- Files:
-
- 4 edited
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trunk
- Property svn:mergeinfo changed
/branches/2520_PersistenceReintegration (added) merged: 16451-16454,16462,16465-16468,16470-16472,16474,16476-16477,16479-16487,16529-16530,16539,16551-16555,16558-16559,16562-16564
- Property svn:mergeinfo changed
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trunk/HeuristicLab.Algorithms.DataAnalysis
- Property svn:mergeinfo changed
/branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis (added) merged: 16452-16454,16462,16468,16470,16474,16479,16529,16539,16558-16559
- Property svn:mergeinfo changed
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trunk/HeuristicLab.Algorithms.DataAnalysis/3.4
- Property svn:mergeinfo changed
/branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4 (added) merged: 16452-16454,16462,16468,16470,16474,16479,16529,16539,16558-16559
- Property svn:mergeinfo changed
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trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/Linear/MultinomialLogitModel.cs
r15583 r16565 1 1 #region License Information 2 2 /* HeuristicLab 3 * Copyright (C) 2002-201 8Heuristic and Evolutionary Algorithms Laboratory (HEAL)3 * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL) 4 4 * 5 5 * This file is part of HeuristicLab. … … 25 25 using HeuristicLab.Common; 26 26 using HeuristicLab.Core; 27 using H euristicLab.Persistence.Default.CompositeSerializers.Storable;27 using HEAL.Attic; 28 28 using HeuristicLab.Problems.DataAnalysis; 29 29 … … 32 32 /// Represents a multinomial logit model for classification 33 33 /// </summary> 34 [Storable Class]34 [StorableType("AC4174A4-9FBC-4B07-9239-1E0E6F86034D")] 35 35 [Item("Multinomial Logit Model", "Represents a multinomial logit model for classification.")] 36 36 public sealed class MultinomialLogitModel : ClassificationModel { … … 60 60 61 61 [StorableConstructor] 62 private MultinomialLogitModel(bool deserializing) 63 : base(deserializing) { 64 if (deserializing) 65 logitModel = new alglib.logitmodel(); 62 private MultinomialLogitModel(StorableConstructorFlag _) : base(_) { 63 logitModel = new alglib.logitmodel(); 66 64 } 67 65 private MultinomialLogitModel(MultinomialLogitModel original, Cloner cloner)
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