Changeset 6589 for trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4
- Timestamp:
- 07/25/11 16:54:15 (13 years ago)
- Location:
- trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4
- Files:
-
- 6 edited
Legend:
- Unmodified
- Added
- Removed
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trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/Linear/MultinomialLogitClassificationSolution.cs
r6576 r6589 20 20 #endregion 21 21 22 using System;23 using System.Collections.Generic;24 using System.Drawing;25 using System.Linq;26 22 using HeuristicLab.Common; 27 23 using HeuristicLab.Core; … … 49 45 public MultinomialLogitClassificationSolution(IClassificationProblemData problemData, MultinomialLogitModel logitModel) 50 46 : base(logitModel, problemData) { 47 RecalculateResults(); 51 48 } 52 49 … … 54 51 return new MultinomialLogitClassificationSolution(this, cloner); 55 52 } 53 54 protected override void RecalculateResults() { 55 CalculateResults(); 56 } 56 57 } 57 58 } -
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour/NearestNeighbourClassificationSolution.cs
r6583 r6589 20 20 #endregion 21 21 22 using System;23 using System.Collections.Generic;24 using System.Drawing;25 using System.Linq;26 22 using HeuristicLab.Common; 27 23 using HeuristicLab.Core; … … 49 45 public NearestNeighbourClassificationSolution(IClassificationProblemData problemData, INearestNeighbourModel nnModel) 50 46 : base(nnModel, problemData) { 47 RecalculateResults(); 51 48 } 52 49 … … 54 51 return new NearestNeighbourClassificationSolution(this, cloner); 55 52 } 53 54 protected override void RecalculateResults() { 55 CalculateResults(); 56 } 56 57 } 57 58 } -
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkClassificationSolution.cs
r6579 r6589 20 20 #endregion 21 21 22 using System;23 using System.Collections.Generic;24 using System.Drawing;25 using System.Linq;26 22 using HeuristicLab.Common; 27 23 using HeuristicLab.Core; … … 49 45 public NeuralNetworkClassificationSolution(IClassificationProblemData problemData, INeuralNetworkModel nnModel) 50 46 : base(nnModel, problemData) { 47 RecalculateResults(); 51 48 } 52 49 … … 54 51 return new NeuralNetworkClassificationSolution(this, cloner); 55 52 } 53 54 protected override void RecalculateResults() { 55 CalculateResults(); 56 } 56 57 } 57 58 } -
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleClassificationSolution.cs
r6580 r6589 20 20 #endregion 21 21 22 using System;23 using System.Collections.Generic;24 using System.Drawing;25 using System.Linq;26 22 using HeuristicLab.Common; 27 23 using HeuristicLab.Core; … … 49 45 public NeuralNetworkEnsembleClassificationSolution(IClassificationProblemData problemData, INeuralNetworkEnsembleModel nnModel) 50 46 : base(nnModel, problemData) { 47 RecalculateResults(); 51 48 } 52 49 … … 54 51 return new NeuralNetworkEnsembleClassificationSolution(this, cloner); 55 52 } 53 54 protected override void RecalculateResults() { 55 CalculateResults(); 56 } 56 57 } 57 58 } -
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/RandomForest/RandomForestClassificationSolution.cs
r6241 r6589 20 20 #endregion 21 21 22 using System;23 using System.Collections.Generic;24 using System.Drawing;25 using System.Linq;26 22 using HeuristicLab.Common; 27 23 using HeuristicLab.Core; … … 49 45 public RandomForestClassificationSolution(IClassificationProblemData problemData, IRandomForestModel randomForestModel) 50 46 : base(randomForestModel, problemData) { 47 RecalculateResults(); 51 48 } 52 49 … … 54 51 return new RandomForestClassificationSolution(this, cloner); 55 52 } 53 54 protected override void RecalculateResults() { 55 CalculateResults(); 56 } 56 57 } 57 58 } -
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorClassificationSolution.cs
r5809 r6589 20 20 #endregion 21 21 22 using System;23 using System.Collections.Generic;24 using System.Drawing;25 using System.Linq;26 22 using HeuristicLab.Common; 27 23 using HeuristicLab.Core; … … 49 45 public SupportVectorClassificationSolution(SupportVectorMachineModel model, IClassificationProblemData problemData) 50 46 : base(model, problemData) { 47 RecalculateResults(); 51 48 } 52 49 … … 54 51 return new SupportVectorClassificationSolution(this, cloner); 55 52 } 53 54 protected override void RecalculateResults() { 55 CalculateResults(); 56 } 56 57 } 57 58 }
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