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HeuristicLab.Algorithms.DataAnalysis

Timestamp:

07/27/11 16:30:49 (13 years ago)

Author:

mkommend

Message:

#1600: Added possibility to create classification solutions from classification models.

Location:

trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4

Files:

-                      r6576
+                      r6604
 using System;
 using System.Collections.Generic;
-using System.IO;
 using System.Linq;
-using System.Text;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 using HeuristicLab.Problems.DataAnalysis;
-using SVM;
 namespace HeuristicLab.Algorithms.DataAnalysis {
 …
+    }
+    public MultinomialLogitClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
+      return new MultinomialLogitClassificationSolution(problemData, this);
+    }
+    IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
+      return CreateClassificationSolution(problemData);
+    }
     #region events
     public event EventHandler Changed;

-                      r6603
+                      r6604
       return CreateRegressionSolution(problemData);
+    }
+    public INearestNeighbourClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
+      return new NearestNeighbourClassificationSolution(problemData, this);
+    }
+    IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
+      return CreateClassificationSolution(problemData);
+    }
     #region events

-                      r6603
+                      r6604
       return CreateRegressionSolution(problemData);
+    }
+    public INeuralNetworkEnsembleClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
+      return new NeuralNetworkEnsembleClassificationSolution(problemData, this);
+    }
+    IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
+      return CreateClassificationSolution(problemData);
+    }
     #region events

-                      r6603
+                      r6604
       return CreateRegressionSolution(problemData);
+    }
+    public INeuralNetworkClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
+      return new NeuralNetworkClassificationSolution(problemData, this);
+    }
+    IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
+      return CreateClassificationSolution(problemData);
+    }
     #region events

-                      r6603
+                      r6604
       return CreateRegressionSolution(problemData);
+    }
+    public IRandomForestClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
+      return new RandomForestClassificationSolution(problemData, this);
+    }
+    IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
+      return CreateClassificationSolution(problemData);
+    }
     #region events

-                      r6603
+                      r6604
+      }
+    }
+    public SupportVectorClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
+      return new SupportVectorClassificationSolution(this, problemData);
+    }
+    IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
+      return CreateClassificationSolution(problemData);
+    }
     #endregion
     // cache for predictions, which is cloned but not persisted, must be cleared when the model is changed

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