Changeset 11205 for branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationModel.cs
- Timestamp:
- 07/18/14 13:44:53 (10 years ago)
- Location:
- branches/HiveStatistics/sources
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- 3 edited
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branches/HiveStatistics/sources
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old new 8 8 FxCopResults.txt 9 9 Google.ProtocolBuffers-0.9.1.dll 10 Google.ProtocolBuffers-2.4.1.473.dll 10 11 HeuristicLab 3.3.5.1.ReSharper.user 11 12 HeuristicLab 3.3.6.0.ReSharper.user 12 13 HeuristicLab.4.5.resharper.user 13 14 HeuristicLab.ExtLibs.6.0.ReSharper.user 15 HeuristicLab.Scripting.Development 14 16 HeuristicLab.resharper.user 15 17 ProtoGen.exe … … 17 19 _ReSharper.HeuristicLab 18 20 _ReSharper.HeuristicLab 3.3 21 _ReSharper.HeuristicLab 3.3 Tests 19 22 _ReSharper.HeuristicLab.ExtLibs 20 23 bin 21 24 protoc.exe 22 _ReSharper.HeuristicLab 3.3 Tests23 Google.ProtocolBuffers-2.4.1.473.dll
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branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification
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branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationModel.cs
r11203 r11205 1 1 #region License Information 2 2 /* HeuristicLab 3 * Copyright (C) 2002-201 2Heuristic and Evolutionary Algorithms Laboratory (HEAL)3 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL) 4 4 * 5 5 * This file is part of HeuristicLab. … … 32 32 [StorableClass] 33 33 [Item(Name = "SymbolicClassificationModel", Description = "Represents a symbolic classification model.")] 34 public abstract class 35 SymbolicClassificationModel : SymbolicDataAnalysisModel, ISymbolicClassificationModel { 36 [Storable] 37 private double lowerEstimationLimit; 38 public double LowerEstimationLimit { get { return lowerEstimationLimit; } } 39 [Storable] 40 private double upperEstimationLimit; 41 public double UpperEstimationLimit { get { return upperEstimationLimit; } } 34 public abstract class SymbolicClassificationModel : SymbolicDataAnalysisModel, ISymbolicClassificationModel { 42 35 43 36 [StorableConstructor] 44 37 protected SymbolicClassificationModel(bool deserializing) : base(deserializing) { } 45 protected SymbolicClassificationModel(SymbolicClassificationModel original, Cloner cloner) 46 : base(original, cloner) { 47 lowerEstimationLimit = original.lowerEstimationLimit; 48 upperEstimationLimit = original.upperEstimationLimit; 49 } 50 protected SymbolicClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) 51 : base(tree, interpreter) { 52 this.lowerEstimationLimit = lowerEstimationLimit; 53 this.upperEstimationLimit = upperEstimationLimit; 54 } 38 protected SymbolicClassificationModel(SymbolicClassificationModel original, Cloner cloner) : base(original, cloner) { } 39 protected SymbolicClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, 40 double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) 41 : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) { } 55 42 56 43 public abstract IEnumerable<double> GetEstimatedClassValues(Dataset dataset, IEnumerable<int> rows);
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